Sample records for grid automation distribution

  1. DA (Distribution Automation) (Smart Grid Project) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, clickInformationNew|CoreCpWingCushing,DA (Distribution Automation) (Smart

  2. Complete Automation of Future Grid for Optimal Real-Time Distribution of Renewables

    E-Print Network [OSTI]

    Loudon, Catherine

    integrates tie-set graph theory with an intelligent agent system, is presented to distribute renewable energy]-[3]. The renewable energy resource applications will offset dependence of fossil fuels, and provide green power options for atmospheric emissions curtailment. However, harvesting renewable energies may be unstable due

  3. automated volumetric grid: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    mentations use orchestration Turner, Ken 9 An automated energy management system in a smart grid context MIT - DSpace Summary: The ongoing transformation of electric grids into...

  4. Networked Loads in the Distribution Grid

    E-Print Network [OSTI]

    Wang, Zhifang; Li, Xiao; Muthukumar, Vishak; Scaglione, Anna; Peisert, Sean; McParland, Chuck

    2012-01-01T23:59:59.000Z

    Lu, and Deborah A. Frincke. Smart-Grid Security Issues. IEEELoads in the Distribution Grid Zhifang Wang ? , Xiao Li † ,Transformer   sensors   Grid   Cyber  system   Cooling    

  5. Sandia National Laboratories: Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Distribution Grid Integration Recent Sandia Secure, Scalable Microgrid Advanced Controls Research Accomplishments On March 3, 2015, in Capabilities, Distribution Grid Integration,...

  6. Sandia National Laboratories: Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Distribution Grid Integration ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety,...

  7. Protecting Intelligent Distributed Power Grids Against Cyber...

    Broader source: Energy.gov (indexed) [DOE]

    will help protect intelligent distributed power grids from cyber attacks. Intelligent power grids are interdependent energy management systems-encompassing generation,...

  8. Sandia National Laboratories: Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Supply Transformation Needed On February 20, 2013, in DETL, Distribution Grid Integration, Energy, Energy Assurance, Energy Surety, Grid Integration, Infrastructure...

  9. Sandia National Laboratories: Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Its Phase 1 Operational Demonstration in Late January On April 5, 2013, in Distribution Grid Integration, Energy Assurance, Energy Assurance, Energy Surety, Grid Integration,...

  10. Sandia Energy - Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's SequimReactors ToDecisionDistribution Grid

  11. Enhancing the Smart Grid: Integrating Clean Distributed and Renewable...

    Energy Savers [EERE]

    Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Imagine a grid...

  12. Grid integrated distributed PV (GridPV).

    SciTech Connect (OSTI)

    Reno, Matthew J.; Coogan, Kyle [Georgia Institute of Technology, Atlanta, GA

    2013-08-01T23:59:59.000Z

    This manual provides the documentation of the MATLAB toolbox of functions for using OpenDSS to simulate the impact of solar energy on the distribution system. The majority of the functions are useful for interfacing OpenDSS and MATLAB, and they are of generic use for commanding OpenDSS from MATLAB and retrieving information from simulations. A set of functions is also included for modeling PV plant output and setting up the PV plant in the OpenDSS simulation. The toolbox contains functions for modeling the OpenDSS distribution feeder on satellite images with GPS coordinates. Finally, example simulations functions are included to show potential uses of the toolbox functions. Each function in the toolbox is documented with the function use syntax, full description, function input list, function output list, example use, and example output.

  13. Distributing MCell Simulations on the Grid

    E-Print Network [OSTI]

    Sejnowski, Terrence J.

    Distributing MCell Simulations on the Grid Henri Casanova casanova@cs.ucsd.edu Tom Bartol The Computational Grid [21] is a promising platform for the deployment of large-scale scientific and engineering that structure, PSAs are particularly well suited to the Grid infrastructure and can be deployed on very large

  14. Sandia National Laboratories: Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Second Annual Electric Power Research InstituteSandia Photovoltaic Systems Symposium On April 15, 2014, in Concentrating Solar Power, Distribution Grid Integration, Energy,...

  15. Sandia National Laboratories: Distributed Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Distributed Grid Integration Federal Electric Regulatory Commission Revised Its Small Generator Interconnection Procedure and Small Generator Interconnection Agreement On March 4,...

  16. Software-Based Challenges of Developing the Future Distribution Grid

    SciTech Connect (OSTI)

    Stewart, Emma; Kiliccote, Sila; McParland, Charles

    2014-06-01T23:59:59.000Z

    The software that the utility industry currently uses may be insufficient to analyze the distribution grid as it rapidly modernizes to include active resources such as distributed generation, switch and voltage control, automation, and increasingly complex loads. Although planners and operators have traditionally viewed the distribution grid as a passive load, utilities and consultants increasingly need enhanced analysis that incorporates active distribution grid loads in order to ensure grid reliability. Numerous commercial and open-source tools are available for analyzing distribution grid systems. These tools vary in complexity from providing basic load-flow and capacity analysis under steady-state conditions to time-series analysis and even geographical representations of dynamic and transient events. The need for each type of analysis is not well understood in the industry, nor are the reasons that distribution analysis requires different techniques and tools both from those now available and from those used for transmission analysis. In addition, there is limited understanding of basic capability of the tools and how they should be practically applied to the evolving distribution system. The study reviews the features and state of the art capability of current tools, including usability and visualization, basic analysis functionality, advanced analysis including inverters, and renewable generation and load modeling. We also discuss the need for each type of distribution grid system analysis. In addition to reviewing basic functionality current models, we discuss dynamics and transient simulation in detail and draw conclusions about existing software?s ability to address the needs of the future distribution grid as well as the barriers to modernization of the distribution grid that are posed by the current state of software and model development. Among our conclusions are that accuracy, data transfer, and data processing abilities are key to future distribution grid modeling, and measured data sources are a key missing element . Modeling tools need to be calibrated based on measured grid data to validate their output in varied conditions such as high renewables penetration and rapidly changing topology. In addition, establishing a standardized data modeling format would enable users to transfer data among tools to take advantage of different analysis features. ?

  17. Automation for Cryo-TEM: From Specimen Grid to 3D

    E-Print Network [OSTI]

    Automation for Cryo-TEM: From Specimen Grid to 3D Map B. Carragher, D. Fellmann, N. Kisseberth, R://www.itg.uiuc.edu #12;AUTOMATION FOR CRYO-TEM: FROM SPECIMEN GRID TO 3D MAP B. Carragher, D. Fellmann, N. Kisseberth, R map of a macromolecular structure automatically and within hours of inserting a specimen

  18. Sandia Energy - Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcomeLongEnergy StorageB.

  19. Scalable Distributed Automation System: Scalable Real-time Decentralized Volt/VAR Control

    SciTech Connect (OSTI)

    None

    2012-03-01T23:59:59.000Z

    GENI Project: Caltech is developing a distributed automation system that allows distributed generators—solar panels, wind farms, thermal co-generation systems—to effectively manage their own power. To date, the main stumbling block for distributed automation systems has been the inability to develop software that can handle more than 100,000 distributed generators and be implemented in real time. Caltech’s software could allow millions of generators to self-manage through local sensing, computation, and communication. Taken together, localized algorithms can support certain global objectives, such as maintaining the balance of energy supply and demand, regulating voltage and frequency, and minimizing cost. An automated, grid-wide power control system would ease the integration of renewable energy sources like solar power into the grid by quickly transmitting power when it is created, eliminating the energy loss associated with the lack of renewable energy storage capacity of the grid.

  20. Interoperable PKI Data Distribution in Computational Grids

    SciTech Connect (OSTI)

    Pala, Massimiliano; Cholia, Shreyas; Rea, Scott A.; Smith, Sean W.

    2008-07-25T23:59:59.000Z

    One of the most successful working examples of virtual organizations, computational grids need authentication mechanisms that inter-operate across domain boundaries. Public Key Infrastructures(PKIs) provide sufficient flexibility to allow resource managers to securely grant access to their systems in such distributed environments. However, as PKIs grow and services are added to enhance both security and usability, users and applications must struggle to discover available resources-particularly when the Certification Authority (CA) is alien to the relying party. This article presents how to overcome these limitations of the current grid authentication model by integrating the PKI Resource Query Protocol (PRQP) into the Grid Security Infrastructure (GSI).

  1. Sandia Energy - Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcomeLongEnergy StorageB.DETL Permalink

  2. Modern Grid Initiative Distribution Taxonomy Final Report

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Chen, Yousu; Chassin, David P.; Pratt, Robert G.; Engel, David W.; Thompson, Sandra E.

    2008-11-01T23:59:59.000Z

    This is the final report for the development of a toxonomy of prototypical electrical distribution feeders. Two of the primary goals of the Department of Energy's (DOE) Modern Grid Initiative (MGI) are 'to accelerate the modernization of our nation's electricity grid' and to 'support demonstrations of systems of key technologies that can serve as the foundation for an integrated, modern power grid'. A key component to the realization of these goals is the effective implementation of new, as well as existing, 'smart grid technologies'. Possibly the largest barrier that has been identified in the deployment of smart grid technologies is the inability to evaluate how their deployment will affect the electricity infrastructure, both locally and on a regional scale. The inability to evaluate the impacts of these technologies is primarily due to the lack of detailed electrical distribution feeder information. While detailed distribution feeder information does reside with the various distribution utilities, there is no central repository of information that can be openly accessed. The role of Pacific Northwest National Laboratory (PNNL) in the MGI for FY08 was to collect distribution feeder models, in the SynerGEE{reg_sign} format, from electric utilities around the nation so that they could be analyzed to identify regional differences in feeder design and operation. Based on this analysis PNNL developed a taxonomy of 24 prototypical feeder models in the GridLAB-D simulations environment that contain the fundamental characteristics of non-urban core, radial distribution feeders from the various regions of the U.S. Weighting factors for these feeders are also presented so that they can be used to generate a representative sample for various regions within the United States. The final product presented in this report is a toolset that enables the evaluation of new smart grid technologies, with the ability to aggregate their effects to regional and national levels. The distribution feeder models presented in this report are based on actual utility models but do not contain any proprietary or system specific information. As a result, the models discussed in this report can be openly distributed to industry, academia, or any interested entity, in order to facilitate the ability to evaluate smart grid technologies.

  3. Grid Architecture for Distributed Process Mining

    E-Print Network [OSTI]

    Sidorova, Natalia

    Eindhoven: Technische Universiteit Eindhoven, 2011. Proefschrift. Cover photo by Iman Mosavat A catalogue record is available from the Eindhoven University of Technology Li- brary ISBN 978-90-386-2446-4 NUR 980. Printed by University Press Facilities, Eindhoven #12;Grid Architecture for Distributed Process Mining

  4. GridBank: A Grid Accounting Services Architecture (GASA) for Distributed Systems Sharing and Integration

    E-Print Network [OSTI]

    Buyya, Rajkumar

    GridBank: A Grid Accounting Services Architecture (GASA) for Distributed Systems Sharing Australia Nedlands, Western Australia, 6009 barmouta@csse.uwa.edu.au Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Lab Dept. of Computer Science and Software Engineering The University of Melbourne

  5. 1 A Grid based distributed simulation of Plasma Turbulence

    E-Print Network [OSTI]

    Vlad, Gregorio

    1 A Grid based distributed simulation of Plasma Turbulence Beniamino Di Martino and Salvatore- cati, Rome, Italy Grid technology is widespreading, but most grid-enabled applications just exploit of Grid platforms. In this paper the porting on a Globus equipped platform of a hierarchically distributed

  6. A DISTRIBUTED AUTOMATION SYSTEM FOR ELECTROPHYSICAL INSTALLATIONS

    E-Print Network [OSTI]

    Kozak, Victor R.

    on CAMAC devices. Growing requirements to functions, parameters and reliability of automation components and distributing panels between terminal equipment and control devices implemented in CAMAC standard. For avoiding this problem there was decided to implement new devices as embedded devices into end equipment. We assumed

  7. Automated distribution scheme speeds service restoration

    SciTech Connect (OSTI)

    Atwell, E. [Lakeland Electric and Water, FL (United States)] [Lakeland Electric and Water, FL (United States); Gamvrelis, T. [Harris Canada, Inc., Calgary, Alberta (Canada). Control Div.] [Harris Canada, Inc., Calgary, Alberta (Canada). Control Div.; Kearns, D. [S and C Electric Co., Chicago, IL (United States)] [S and C Electric Co., Chicago, IL (United States); Landman, R. [H and L Instruments, North Hampton, NH (United States)] [H and L Instruments, North Hampton, NH (United States)

    1996-01-01T23:59:59.000Z

    This article describes an automated distribution scheme that met Lakeland Electric requirements for an automated scheme that would restore power to a major customer in less than 60 seconds. In January 1993, Lakeland Electric and Water (LEW) took on the design and construction of a new 12.47-kV automated distribution system for the Publix Supermarket Industrial complex. The industrial complex in Lakeland, Florida, totals 2 million square feet and houses a dairy processing plant, bakery, produce plant, deli plant, data processing facility for Publix`s entire retail network, purchasing department, as well as several maintenance facilities. The retail chain is LEW`s largest customer with a peak demand of 15.5 MW and a load factor of 81%. Publix`s rapid expansion plan has placed a great deal of pressure on this facility to perform at peak level with no interruptions of product flow. The task at hand was to provide Publix with a state-of-the-art, automated, distribution system built to withstand the inherent weather-related situations in central Florida, lightning and hurricanes.

  8. Assessing the Usefulness of Distributed Measurements in the Smart Grid

    E-Print Network [OSTI]

    Framhein, Theodore Anthony

    2012-01-01T23:59:59.000Z

    electrical grid, as seen by individual consumers, requires a reliable distribution system. Detection of incipient failures and outages,

  9. Electric Grid State Estimators for Distribution Systems with Microgrids

    E-Print Network [OSTI]

    Gupta, Vijay

    46556 Emails: {jhuang6,vgupta2,huang}@nd.edu Abstract--In the development of smart grid, state] into the distribution systems of the power grid. Such integration complicates the operation of distribution systemsElectric Grid State Estimators for Distribution Systems with Microgrids Jing Huang, Vijay Gupta

  10. An automated energy management system in a smart grid context

    E-Print Network [OSTI]

    Lopes, M.

    The ongoing transformation of electric grids into smart grids provides the technological basis to implement demand-sensitive pricing strategies aimed at using the electric power infrastructure more efficiently. These ...

  11. Principal Characteristics of a Modern Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Office of Electricity Delivery and Energy Reliability MODERN GRID S T R A T E G Y AMI Demand Response Distribution Management Systems Advanced OMS Distribution Automation...

  12. Automated Grid Disruption Response System: Robust Adaptive Topology Control (RATC)

    SciTech Connect (OSTI)

    None

    2012-03-01T23:59:59.000Z

    GENI Project: The RATC research team is using topology control as a mechanism to improve system operations and manage disruptions within the electric grid. The grid is subject to interruption from cascading faults caused by extreme operating conditions, malicious external attacks, and intermittent electricity generation from renewable energy sources. The RATC system is capable of detecting, classifying, and responding to grid disturbances by reconfiguring the grid in order to maintain economically efficient operations while guaranteeing reliability. The RATC system would help prevent future power outages, which account for roughly $80 billion in losses for businesses and consumers each year. Minimizing the time it takes for the grid to respond to expensive interruptions will also make it easier to integrate intermittent renewable energy sources into the grid.

  13. Integration of Distributed Energy The CERTS MicroGrid Concept

    E-Print Network [OSTI]

    Resources The MicroGrid Concept Appendices Prepared for Transmission Reliability Program Office of PowerIntegration of Distributed Energy Resources The CERTS MicroGrid Concept CALIFORNIA ENERGY;Preface The U.S. Electricity Grid Today The U.S. electric power system is in the midst of a fundamental

  14. Resilient Electric Distribution Grid R&D Workshop - June 11,...

    Office of Environmental Management (EM)

    Breakout Sessions Notes and Reports Resilient Electric Distribution Grid R&D Workshop - June 11, 2014 - Breakout Sessions Notes and Reports On June 11, 2014, the Department of...

  15. Protecting Intelligent Distributed Power Grids against Cyber Attacks

    SciTech Connect (OSTI)

    Dong Wei; Yan Lu; Mohsen Jafari; Paul Skare; Kenneth Rohde

    2010-12-31T23:59:59.000Z

    Like other industrial sectors, the electrical power industry is facing challenges involved with the increasing demand for interconnected operations and control. The electrical industry has largely been restructured due to deregulation of the electrical market and the trend of the Smart Grid. This moves new automation systems from being proprietary and closed to the current state of Information Technology (IT) being highly interconnected and open. However, while gaining all of the scale and performance benefits of IT, existing IT security challenges are acquired as well. The power grid automation network has inherent security risks due to the fact that the systems and applications for the power grid were not originally designed for the general IT environment. In this paper, we propose a conceptual layered framework for protecting power grid automation systems against cyber attacks. The following factors are taken into account: (1) integration with existing, legacy systems in a non-intrusive fashion; (2) desirable performance in terms of modularity, scalability, extendibility, and manageability; (3) alignment to the 'Roadmap to Secure Control Systems in the Energy Sector' and the future smart grid. The on-site system test of the developed prototype security system is briefly presented as well.

  16. SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation

    E-Print Network [OSTI]

    Tronci, Enrico

    solar panels)], for each time slot (say each hour) the DNO price policy defines an interval of energySmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation Enrico Tronci.prodanovic,jorn.gruber, barry.hayes}@imdea.org I. INTRODUCTION The SmartHG project [1], [2] has the goal of developing

  17. IEEE TRANSACTIONS ON SMART GRID, VOL. 1, NO. 2, SEPTEMBER 2010 213 Automated Load Curve Data Cleansing

    E-Print Network [OSTI]

    Wang, Ke

    planning [1]. Two key features in the global vision of smart grid [2] are self-healing from powerIEEE TRANSACTIONS ON SMART GRID, VOL. 1, NO. 2, SEPTEMBER 2010 213 Automated Load Curve Data of valid load curve data is critical for supporting decision making in a smart grid system. For example

  18. Economic evaluation of distribution system smart grid investments

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Onen, Ahmet; Cheng, Danling; Broadwater, Robert P.; Cocks, George; Hamilton, Stephanie; Wang, Xiaoyu; Roark, Jeffrey; Scirbona, Charlie

    2014-12-31T23:59:59.000Z

    This paper investigates economic benefits of smart grid automation investments. A system consisting of 7 substations and 14 feeders is used in the evaluation. Here benefits that can be quantified in terms of dollar savings are considered, termed “hard dollar” benefits. Smart Grid investment evaluations to be considered include investments in improved efficiency, more cost effective use of existing system capacity with automated switches, and coordinated control of capacitor banks and voltage regulators. These Smart Grid evaluations are sequentially ordered, resulting in a series of incremental hard dollar benefits. Hard dollar benefits come from improved efficiency, delaying large capital equipmentmore »investments, shortened storm restoration times, and reduced customer energy use. Analyses used in the evaluation involve hourly power flow analysis over multiple years and Monte Carlo simulations of switching operations during storms using a reconfiguration for restoration algorithm. The economic analysis uses the time varying value of the Locational Marginal Price. Algorithms used include reconfiguration for restoration involving either manual or automated switches and coordinated control involving two modes of control. Field validations of phase balancing and capacitor design results are presented. The evaluation shows that investments in automation can improve performance while at the same time lowering costs.« less

  19. Economic evaluation of distribution system smart grid investments

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Onen, Ahmet [Abdullah Gul Univ., Kayseri (Turkey); Cheng, Danling [Electrical Distribution Design, Inc., Blacksburg, VA (United States); Broadwater, Robert P. [Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States); Cocks, George [Orange and Rockland Utilities, Inc., Spring Valley, NY (United States); Hamilton, Stephanie [Brookhaven National Lab. (BNL), Upton, NY (United States); Wang, Xiaoyu [Brookhaven National Lab. (BNL), Upton, NY (United States); Roark, Jeffrey [Orange and Rockland Utilities, Inc., Spring Valley, NY (United States); Scirbona, Charlie [Orange and Rockland Utilities, Inc., Spring Valley, NY (United States)

    2014-12-31T23:59:59.000Z

    This paper investigates economic benefits of smart grid automation investments. A system consisting of 7 substations and 14 feeders is used in the evaluation. Here benefits that can be quantified in terms of dollar savings are considered, termed “hard dollar” benefits. Smart Grid investment evaluations to be considered include investments in improved efficiency, more cost effective use of existing system capacity with automated switches, and coordinated control of capacitor banks and voltage regulators. These Smart Grid evaluations are sequentially ordered, resulting in a series of incremental hard dollar benefits. Hard dollar benefits come from improved efficiency, delaying large capital equipment investments, shortened storm restoration times, and reduced customer energy use. Analyses used in the evaluation involve hourly power flow analysis over multiple years and Monte Carlo simulations of switching operations during storms using a reconfiguration for restoration algorithm. The economic analysis uses the time varying value of the Locational Marginal Price. Algorithms used include reconfiguration for restoration involving either manual or automated switches and coordinated control involving two modes of control. Field validations of phase balancing and capacitor design results are presented. The evaluation shows that investments in automation can improve performance while at the same time lowering costs.

  20. Automated Vulnerability Detection for Compiled Smart Grid Software

    SciTech Connect (OSTI)

    Prowell, Stacy J [ORNL; Pleszkoch, Mark G [ORNL; Sayre, Kirk D [ORNL; Linger, Richard C [ORNL

    2012-01-01T23:59:59.000Z

    While testing performed with proper experimental controls can provide scientifically quantifiable evidence that software does not contain unintentional vulnerabilities (bugs), it is insufficient to show that intentional vulnerabilities exist, and impractical to certify devices for the expected long lifetimes of use. For both of these needs, rigorous analysis of the software itself is essential. Automated software behavior computation applies rigorous static software analysis methods based on function extraction (FX) to compiled software to detect vulnerabilities, intentional or unintentional, and to verify critical functionality. This analysis is based on the compiled firmware, takes into account machine precision, and does not rely on heuristics or approximations early in the analysis.

  1. Cascade Failures from Distributed Generation in Power Grids

    E-Print Network [OSTI]

    Scala, Antonio; Scoglio, Caterina

    2012-01-01T23:59:59.000Z

    Power grids are nowadays experiencing a transformation due to the introduction of Distributed Generation based on Renewable Sources. At difference with classical Distributed Generation, where local power sources mitigate anomalous user consumption peaks, Renewable Sources introduce in the grid intrinsically erratic power inputs. By introducing a simple schematic (but realistic) model for power grids with stochastic distributed generation, we study the effects of erratic sources on the robustness of several IEEE power grid test networks with up to 2000 buses. We find that increasing the penetration of erratic sources causes the grid to fail with a sharp transition. We compare such results with the case of failures caused by the natural increasing power demand.

  2. automated energy distribution: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    automated energy distribution First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Automated Energy...

  3. Grid Integrated Distributed PV (GridPV) Version 2.

    SciTech Connect (OSTI)

    Reno, Matthew J.; Coogan, Kyle

    2014-12-01T23:59:59.000Z

    This manual provides the documentation of the MATLAB toolbox of functions for using OpenDSS to simulate the impact of solar energy on the distribution system. The majority of the functio ns are useful for interfacing OpenDSS and MATLAB, and they are of generic use for commanding OpenDSS from MATLAB and retrieving information from simulations. A set of functions is also included for modeling PV plant output and setting up the PV plant in th e OpenDSS simulation. The toolbox contains functions for modeling the OpenDSS distribution feeder on satellite images with GPS coordinates. Finally, example simulations functions are included to show potential uses of the toolbox functions. Each function i n the toolbox is documented with the function use syntax, full description, function input list, function output list, example use, and example output.

  4. Evaluation of Representative Smart Grid Investment Grant Project Technologies: Distributed Generation

    SciTech Connect (OSTI)

    Singh, Ruchi; Vyakaranam, Bharat GNVSR

    2012-02-14T23:59:59.000Z

    This document is one of a series of reports estimating the benefits of deploying technologies similar to those implemented on the Smart Grid Investment Grant (SGIG) projects. Four technical reports cover the various types of technologies deployed in the SGIG projects, distribution automation, demand response, energy storage, and renewables integration. A fifth report in the series examines the benefits of deploying these technologies on a national level. This technical report examines the impacts of addition of renewable resources- solar and wind in the distribution system as deployed in the SGIG projects.

  5. A mathematical basis for automated structured grid generation with close coupling to the flow solver

    SciTech Connect (OSTI)

    Barnette, D.W.

    1998-02-01T23:59:59.000Z

    The first two truncation error terms resulting from finite differencing the convection terms in the two-dimensional Navier-Stokes equations are examined for the purpose of constructing two-dimensional grid generation schemes. These schemes are constructed such that the resulting grid distributions drive the error terms to zero. Two sets of equations result, one for each error term, that show promise in generating grids that provide more accurate flow solutions and possibly faster convergence. One set results in an algebraic scheme that drives the first truncation term to zero, and the other a hyperbolic scheme that drives the second term to zero. Also discussed is the possibility of using the schemes in sequentially constructing a grid in an iterative algorithm involving the flow solver. In essence, the process is envisioned to generate not only a flow field solution but the grid as well, rendering the approach a hands-off method for grid generation

  6. October 23, 2012 11:49 World Scientific Review Volume -9in x 6in ywangsmartgrid Smart Grid, Automation, and SCADA Systems Security

    E-Print Network [OSTI]

    Wang, Yongge

    discuss the challenges for secure smart energy grid and automation systems. We first describe the current system as an example to show the challenges to secure the automation systems and smart power grid systems: a high level introduction As stated in DOE smart grid white paper,1 United States is in the process

  7. Integrated, Automated Distributed Generation Technologies Demonstration

    SciTech Connect (OSTI)

    Jensen, Kevin

    2014-09-30T23:59:59.000Z

    The purpose of the NETL Project was to develop a diverse combination of distributed renewable generation technologies and controls and demonstrate how the renewable generation could help manage substation peak demand at the ATK Promontory plant site. The Promontory plant site is located in the northwestern Utah desert approximately 25 miles west of Brigham City, Utah. The plant encompasses 20,000 acres and has over 500 buildings. The ATK Promontory plant primarily manufactures solid propellant rocket motors for both commercial and government launch systems. The original project objectives focused on distributed generation; a 100 kW (kilowatt) wind turbine, a 100 kW new technology waste heat generation unit, a 500 kW energy storage system, and an intelligent system-wide automation system to monitor and control the renewable energy devices then release the stored energy during the peak demand time. The original goal was to reduce peak demand from the electrical utility company, Rocky Mountain Power (RMP), by 3.4%. For a period of time we also sought to integrate our energy storage requirements with a flywheel storage system (500 kW) proposed for the Promontory/RMP Substation. Ultimately the flywheel storage system could not meet our project timetable, so the storage requirement was switched to a battery storage system (300 kW.) A secondary objective was to design/install a bi-directional customer/utility gateway application for real-time visibility and communications between RMP, and ATK. This objective was not achieved because of technical issues with RMP, ATK Information Technology Department’s stringent requirements based on being a rocket motor manufacturing facility, and budget constraints. Of the original objectives, the following were achieved: • Installation of a 100 kW wind turbine. • Installation of a 300 kW battery storage system. • Integrated control system installed to offset electrical demand by releasing stored energy from renewable sources during peak hours of the day. Control system also monitors the wind turbine and battery storage system health, power output, and issues critical alarms. Of the original objectives, the following were not achieved: • 100 kW new technology waste heat generation unit. • Bi-directional customer/utility gateway for real time visibility and communications between RMP and ATK. • 3.4% reduction in peak demand. 1.7% reduction in peak demand was realized instead.

  8. Sandia Energy » Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitche This author hasSandia Student Wins Best

  9. Smard Grid Software Applications for Distribution Network Load Forecasting Eugene A. Feinberg, Jun Fei

    E-Print Network [OSTI]

    Feinberg, Eugene A.

    of the distribution network. Keywords: load forecasting, feeder, transformer, load pocket, SmartGrid I. INTRODUCTION

  10. A DISTRIBUTED INTELLIGENT AUTOMATED DEMAND RESPONSE BUILDING MANAGEMENT SYSTEM

    SciTech Connect (OSTI)

    Auslander, David; Culler, David; Wright, Paul; Lu, Yan; Piette, Mary

    2013-12-30T23:59:59.000Z

    The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide “deep” demand response1 at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-­Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-­to-­building gateway development). Sutardja Dai Hall houses the Center for Information Technology Research in the Interest of Society (CITRIS), which fosters collaboration among industry and faculty and students of four UC campuses (Berkeley, Davis, Merced, and Santa Cruz). The 141,000 square foot building, occupied in 2009, includes typical office spaces and a nanofabrication laboratory. Heating is provided by a district heating system (steam from campus as a byproduct of the campus cogeneration plant); cooling is provided by one of two chillers: a more typical electric centrifugal compressor chiller designed for the cool months (Nov-­ March) and a steam absorption chiller for use in the warm months (April-­October). Lighting in the open office areas is provided by direct-­indirect luminaries with Building Management System-­based scheduling for open areas, and occupancy sensors for private office areas. For the purposes of this project, we focused on the office portion of the building. Annual energy consumption is approximately 8053 MWh; the office portion is estimated as 1924 MWh. The maximum peak load during the study period was 1175 kW. Several new tools facilitated this work, such as the Smart Energy Box, the distributed load controller or Energy Information Gateway, the web-­based DR controller (dubbed the Central Load-­Shed Coordinator or CLSC), and the Demand Response Capacity Assessment & Operation Assistance Tool (DRCAOT). In addition, an innovative data aggregator called sMAP (simple Measurement and Actuation Profile) allowed data from different sources collected in a compact form and facilitated detailed analysis of the building systems operation. A smart phone application (RAP or Rapid Audit Protocol) facilitated an inventory of the building’s plug loads. Carbon dioxide sensors located in conference rooms and classrooms allowed demand controlled ventilation. The extensive submetering and nimble access to this data provided great insight into the details of the building operation as well as quick diagnostics and analyses of tests. For example, students discovered a short-­cycling chiller, a stuck damper, and a leaking cooling coil in the first field tests. For our final field tests, we were able to see how each zone was affected by the DR strategies (e.g., the offices on the 7th floor grew very warm quickly) and fine-­tune the strategies accordingly.

  11. A Distributed Facilities Automation System For IBM Buildings

    E-Print Network [OSTI]

    Houle, W. D. Sr.

    to the host would be via an IBM-supplied local communications network protocol. Remote appli cations would include process control, security, energy manage ment, facilities automation or any other automation application. The remote systems... of these areas which are affected are: - HVAC - Chemical Processes Control - Utilities Generation - Tank Farm Monitoring Resource Management - Solvent Supply and Recovery Systems - DI Water Distribution - Sewage and Waste Treatment Plant Control...

  12. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    SciTech Connect (OSTI)

    Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Kiliccote, Sila

    2010-06-02T23:59:59.000Z

    We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response programs with building control systems can respond to dynamic prices by using the actual prices as inputs to their control systems. Alternatively, prices can be mapped into"building operation modes," which can act as inputs to control systems. We present several different strategies customers could use to map prices to operation modes. Our results show that OpenADR can be used to communicate dynamic pricing within the Smart Grid and that OpenADR allows for interoperability with existing and future systems, technologies, and electricity markets.

  13. Playas Grid Reliability and Distributed Energy Research

    SciTech Connect (OSTI)

    Romero, Van; Weinkauf, Don; Khan, Mushtaq; Helgeson, Wes; Weedeward, Kevin; LeClerc, Corey; Fuierer, Paul

    2012-06-30T23:59:59.000Z

    The future looks bright for solar and renewable energies in the United States. Recent studies claim that by 2050, solar power could supply a third of all electricity demand in the country’s western states. Technology advances, soft policy changes, and increased energy consciousness will all have to happen to achieve this goal. But the larger question is, what would it take to do more throughout the United States? The studies tie future solar and renewable growth in the United States to programs that aim to lower the soft costs of solar adoption, streamline utility interconnections, and increase technology advances through research and development. At the state and local levels, the most important steps are: • Net metering: Net metering policies lets customers offset their electric bills with onsite solar and receive reliable and fair compensation for the excess electricity they provide to the grid. Not surprisingly, what utilities consider fair is not necessarily a rate that’s favorable to solar customers. • Renewable portfolio standards (RPS): RPS policies require utilities to provide a certain amount of their power from renewable sources; some set specific targets for solar and other renewables. California’s aggressive RPS1 of 33% renewable energy by 2020 is not bankrupting the state, or its residents. • Strong statewide interconnection policies: Solar projects can experience significant delays and hassles just to get connected to the grid. Streamlined feasibility and impact analysis are needed. Good interconnection policies are crucial to the success of solar or renewable energy development. • Financing options: Financing is often the biggest obstacle to solar adoption. Those obstacles can be surmounted with policies that support creative financing options like third-party ownership (TPO) and property assessed clean energy (PACE). Attesting to the significance of TPO is the fact that in Arizona, it accounted for 86% of all residential photovoltaic (PV) installations in Q1 20132. Policies beyond those at the state level are also important for solar. The federal government must play a role including continuation of the federal Investment tax credit,3 responsible development of solar resources on public lands, and support for research and development (R&D) to reduce the cost of solar and help incorporate large amounts of solar into the grid. The local level can’t be ignored. Local governments should support: solar rights laws, feed-in tariffs (FITs), and solar-friendly zoning rules. A great example of how effective local policies can be is a city like Gainesville, Florida4, whose FIT policy has put it on the map as a solar leader. This is particularly noteworthy because the Sunshine State does not appear anywhere on the list of top solar states, despite its abundant solar resource. Lancaster, California5, began by streamlining the solar permitting process and now requires solar on every new home. Cities like these point to the power of local policies, and the ability of local governments to get things done. A conspicuously absent policy is Community Choice energy6, also called community choice aggregation (CCA). This model allows local governments to pool residential, business, and municipal electricity loads and to purchase or generate on their behalf. It provides rate stability and savings and allows more consumer choice and local control. The model need not be focused on clean energy, but it has been in California, where Marin Clean Energy7, the first CCA in California, was enabled by a state law -- highlighting the interplay of state and local action. Basic net metering8 has been getting a lot of attention. Utilities are attacking it9 in a number of states, claiming it’s unfair to ratepayers who don’t go solar. On the other hand, proponents of net metering say utilities’ fighting stance is driven by worries about their bottom line, not concern for their customers. Studies in California10, Vermont11, New York12, and Texas13 have found that the benefits of net metering (like savings on investments

  14. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    for Automated Demand Response in Commercial Buildings. ” In2010. “Open Automated Demand Response Dynamic Pricing2009. “Open Automated Demand Response Communications

  15. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    for Automated Demand Response in Commercial Buildings. ” InAutomated Demand Response for Small Commercial Buildings. ”in automated demand response programs with building control

  16. Automated Energy Distribution and Reliability System (AEDR): Final Report

    SciTech Connect (OSTI)

    Buche, D. L.

    2008-07-01T23:59:59.000Z

    This report describes Northern Indiana Public Service Co. project efforts to develop an automated energy distribution and reliability system. The purpose of this project was to implement a database-driven GIS solution that would manage all of the company's gas, electric, and landbase objects.

  17. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    Signals. ” SGIP NIST Smart Grid Collaboration Site. http://emix/. Last accessed: Open Smart Grid Users Group. “OpenADROpenADR technologies and Smart Grid standards activities.

  18. Fact Sheet: Protecting Intelligent Distributed Power Grids Against...

    Office of Environmental Management (EM)

    and hierarchical security layer specific to intelligent grid design Intelligent power grids are interdependent energy management systems- encompassing generation,...

  19. A planning scheme for penetrating embedded generation in power distribution grids

    E-Print Network [OSTI]

    Wang, Jiankang, Ph. D. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    Penetrating Embedded Generation, or Distributed Generation (DG), in power distribution grids presents great benefits and substantial positive social impacts to utilities, system operators and electricity consumers. Existing ...

  20. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    AND SMART GRID The GridWise® interoperability framework [6] was developed to facilitate systems integration and

  1. Modeling and Simulation of the EV Charging in a Residential Distribution Power Grid

    E-Print Network [OSTI]

    Al Faruque, Mohammad Abdullah

    in GridLAB-D (an open-source software tool used to model, simulate, and analyze power distribution systems Vehicle, Electric Vehicle Supply Equipment, GridLAB-D, Residential Distribution Power Grid I. INTRODUCTION with Electric Vehicle Supply Equipment (EVSE) and EVs. The scope of this paper is to model the EV

  2. Toward Distributed Intelligent: A Case Study of Peer to Peer Communication in Smart Grid

    E-Print Network [OSTI]

    Wang, Wenye

    Toward Distributed Intelligent: A Case Study of Peer to Peer Communication in Smart Grid Mingkui, Raleigh, NC, USA Email: {mwei2, wwang}@ncsu.edu Abstract--Smart grid is an emerging cyber-physical system. As a result, traditional centralized control is not always effective in smart grid, and distributed control

  3. Distributed Demand Response and User Adaptation in Smart Grids

    E-Print Network [OSTI]

    Fan, Zhong

    2010-01-01T23:59:59.000Z

    This paper proposes a distributed framework for demand response and user adaptation in smart grid networks. In particular, we borrow the concept of congestion pricing in Internet traffic control and show that pricing information is very useful to regulate user demand and hence balance network load. User preference is modeled as a willingness to pay parameter which can be seen as an indicator of differential quality of service. Both analysis and simulation results are presented to demonstrate the dynamics and convergence behavior of the algorithm.

  4. Assessing the Usefulness of Distributed Measurements in the Smart Grid

    E-Print Network [OSTI]

    Framhein, Theodore Anthony

    2012-01-01T23:59:59.000Z

    Kezunovic, M. ; , "Smart Fault Location for Smart Grids,"Smart Grid, IEEE Transactions on , vol.2, no.1, pp.11-22,Measurements in the Smart Grid A thesis submitted in partial

  5. Distributed Smart Grid Asset Control Strategies for Providing Ancillary Services

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Zhang, Wei; Lian, Jianming; Marinovici, Laurentiu D.; Moya, Christian; Dagle, Jeffery E.

    2013-10-30T23:59:59.000Z

    With large-scale plans to integrate renewable generation driven mainly by state-level renewable portfolio requirements, more resources will be needed to compensate for the uncertainty and variability associated with intermittent generation resources. Distributed assets can be used to mitigate the concerns associated with renewable energy resources and to keep costs down. Under such conditions, performing primary frequency control using only supply-side resources becomes not only prohibitively expensive but also technically difficult. It is therefore important to explore how a sufficient proportion of the loads could assume a routine role in primary frequency control to maintain the stability of the system at an acceptable cost. The main objective of this project is to develop a novel hierarchical distributed framework for frequency based load control. The framework involves two decision layers. The top decision layer determines the optimal gain for aggregated loads for each load bus. The gains are computed using decentralized robust control methods, and will be broadcast to the corresponding participating loads every control period. The second layer consists of a large number of heterogeneous devices, which switch probabilistically during contingencies so that aggregated power change matches the desired amount according to the most recently received gains. The simulation results show great potential to enable systematic design of demand-side primary frequency control with stability guarantees on the overall power system. The proposed design systematically accounts for the interactions between the total load response and bulk power system frequency dynamics. It also guarantees frequency stability under a wide range of time varying operating conditions. The local device-level load response rules fully respect the device constraints (such as temperature setpoint, compressor time delays of HVACs, or arrival and departure of the deferrable loads), which are crucial for implementing real load control programs. The promise of autonomous, Grid Friendly™ response by smart appliances in the form of under-frequency load shedding was demonstrated in the GridWise Olympic Peninsula Demonstration in 2006. Each controller monitored the power grid voltage signal and requested that electrical load be shed by its appliance whenever electric power-grid frequency fell below 59.95 Hz. The controllers and their appliances responded reliably to each shallow under-frequency event, which was an average of one event per day and shed their loads for the durations of these events. Another objective of this project was to perform extensive simulation studies to investigate the impact of a population of Grid Friendly™ Appliances (GFAs) on the bulk power system frequency stability. The GFAs considered in this report are represented as demonstration units with water heaters individually modeled.

  6. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    Signals. ” SGIP NIST Smart Grid Collaboration Site. http://Presented at the Grid Interop Forum, Albuquerque, NM.Last accessed: Open Smart Grid Users Group. “OpenADR Task

  7. Alleviating Solar Energy Congestion in the Distribution Grid via Smart

    E-Print Network [OSTI]

    Ansari, Nirwan

    metering. Ç 1 INTRODUCTION THE electric power grid is one of the national critical infrastructures electric facilities and equipment in the grid are based on old technologies. While the power grid operation]. The conventional power grid has been built under a centralized infrastructure such that a single far-end power

  8. Automated di/dt Stressmark Generation for Microprocessor Power Distribution Networks

    E-Print Network [OSTI]

    John, Lizy Kurian

    Automated di/dt Stressmark Generation for Microprocessor Power Distribution Networks Youngtaek Kim for automated di/dt stressmark generation to test maximum voltage droop in a microprocessor power distribution and typical benchmarks in experiments covering three micro-processor architectures and five power distribution

  9. MET 5970: Automated Analysis of Spatial Grids Instructor: Valliappa Lakshmanan lakshman@ou.edu http://www.cimms.ou.edu/~lakshman/

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    representation and analysis 2. Geospatial grids [slides in PDF] a. Objective analysis of point observations bMET 5970: Automated Analysis of Spatial Grids Instructor: Valliappa Lakshmanan lakshman@ou.edu http processing and data mining as applied to geospatial datasets. By the end of this course, students

  10. Electrical Characteristics of Multi-Layer Power Distribution Grids Andrey V. Mezhiba and Eby G. Friedman

    E-Print Network [OSTI]

    Friedman, Eby G.

    Electrical Characteristics of Multi-Layer Power Distribution Grids Andrey V. Mezhiba and Eby G. Unlike single layer grids, the electrical character- istics of a multi-layer grid can vary significantly. Friedman Department of Electrical and Computer Engineering University of Rochester Rochester, New York

  11. VOLTTRON - An Intelligent Agent Platform for the Smart Grid

    SciTech Connect (OSTI)

    None

    2013-10-23T23:59:59.000Z

    The distributed nature of the Smart Grid, such as responsive loads, solar and wind generation, and automation in the distribution system present a complex environment not easily controlled in a centralized manner.

  12. VOLTTRON - An Intelligent Agent Platform for the Smart Grid

    ScienceCinema (OSTI)

    None

    2014-06-12T23:59:59.000Z

    The distributed nature of the Smart Grid, such as responsive loads, solar and wind generation, and automation in the distribution system present a complex environment not easily controlled in a centralized manner.

  13. A Provenance-Integration Framework for Distributed Workflows in Grid Environments

    E-Print Network [OSTI]

    Hwang, Kai

    for data quality control and data re- liability maintenance in reservoir management. Distributed track data provenance for reservoir management workflows. In reservoir management work- flows various- sults, and production schedules. The reservoir management workflows are often distributed in a grid

  14. Micro-grid operation of inverter based distributed generation with voltage and frequency dependent loads

    E-Print Network [OSTI]

    Zeineldin, H. H.

    Distribution systems are experiencing increasing penetration of distributed generation (DG). One attractive option is to use the available DG capacity during utility outages by forming planned micro-grids. Load sharing ...

  15. Software Based Barriers To Integration Of Renewables To The Future Distribution Grid

    SciTech Connect (OSTI)

    Stewart, Emma; Kiliccote, Sila

    2014-06-01T23:59:59.000Z

    The future distribution grid has complex analysis needs, which may not be met with the existing processes and tools. In addition there is a growing number of measured and grid model data sources becoming available. For these sources to be useful they must be accurate, and interpreted correctly. Data accuracy is a key barrier to the growth of the future distribution grid. A key goal for California, and the United States, is increasing the renewable penetration on the distribution grid. To increase this penetration measured and modeled representations of generation must be accurate and validated, giving distribution planners and operators confidence in their performance. This study will review the current state of these software and modeling barriers and opportunities for the future distribution grid.

  16. Smoothing the Eects of Renewable Generation on the Distribution Grid

    E-Print Network [OSTI]

    Naud, Paul S.

    2014-01-01T23:59:59.000Z

    to Grid by Paul Naud Renewable electrical power sourcessystem based on various renewable energy resources. InCRUZ Smoothing the Effects of Renewable Generation on the

  17. A Set Coverage-based Mapping Heuristic for Scheduling Distributed Data-Intensive Applications on Global Grids

    E-Print Network [OSTI]

    Buyya, Rajkumar

    A Set Coverage-based Mapping Heuristic for Scheduling Distributed Data-Intensive Applications on Global Grids Srikumar Venugopal and Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS Email:{srikumar, raj}@csse.unimelb.edu.au Abstract Data-intensive Grid applications need access to large

  18. automated distribution system: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ioannou A, utomatic is todesign and test avehicle control system in order toachieve full vehicle automation in the longitudinal vehicle following isan important feature of a fully...

  19. Automating Natural Disaster Impact Analysis: An Open Resource to Visually Estimate a Hurricane s Impact on the Electric Grid

    SciTech Connect (OSTI)

    Barker, Alan M [ORNL; Freer, Eva B [ORNL; Omitaomu, Olufemi A [ORNL; Fernandez, Steven J [ORNL; Chinthavali, Supriya [ORNL; Kodysh, Jeffrey B [ORNL

    2013-01-01T23:59:59.000Z

    An ORNL team working on the Energy Awareness and Resiliency Standardized Services (EARSS) project developed a fully automated procedure to take wind speed and location estimates provided by hurricane forecasters and provide a geospatial estimate on the impact to the electric grid in terms of outage areas and projected duration of outages. Hurricane Sandy was one of the worst US storms ever, with reported injuries and deaths, millions of people without power for several days, and billions of dollars in economic impact. Hurricane advisories were released for Sandy from October 22 through 31, 2012. The fact that the geoprocessing was automated was significant there were 64 advisories for Sandy. Manual analysis typically takes about one hour for each advisory. During a storm event, advisories are released every two to three hours around the clock, and an analyst capable of performing the manual analysis has other tasks they would like to focus on. Initial predictions of a big impact and landfall usually occur three days in advance, so time is of the essence to prepare for utility repair. Automated processing developed at ORNL allowed this analysis to be completed and made publicly available within minutes of each new advisory being released.

  20. 1464 IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 3, SEPTEMBER 2013 Distributed Optimal Power Flow

    E-Print Network [OSTI]

    Giannakis, Georgios

    --Distributed optimization, distribution feeders, microgrids, optimal power flow, semidefinite relaxation. I. INTRODUCTION MICROGRIDS are portions of a power distribution net- work located downstream of the distribution substation) and energy storage devices [1]. A microgrid can operate in either grid-connected, islanded, or hybrid modes

  1. Grid Computing and Distributed Systems Laboratory and the Gridbus Project

    E-Print Network [OSTI]

    Buyya, Rajkumar

    provisional patent heralding a pathway for its commercialisation. · Members of GRIDS Lab have authored over 35 in the organisation of conferences (CCGrid 2007, Rio, Brazil and e-Science 2007, Bangalore, India), (b) serving

  2. Assessing the Usefulness of Distributed Measurements in the Smart Grid

    E-Print Network [OSTI]

    Framhein, Theodore Anthony

    2012-01-01T23:59:59.000Z

    greater reliability in distribution systems involveReliability and Failure Diagnosis in Distribution Systems,"Reliability – Data and Networking At present, the major push in distribution system

  3. Distributed Energy Alternative to Electrical Distribution Grid Expansion in Consolidated Edison Service Territory

    SciTech Connect (OSTI)

    Kingston, Tim [Gas Technology Institute; Kelly, John [Endurant Energy LLC

    2008-08-01T23:59:59.000Z

    The nation's power grid, specifically the New York region, faces burgeoning energy demand and suffers from congested corridors and aging equipment that cost New York consumers millions of dollars. Compounding the problem is high-density buildup in urban areas that limits available space to expand grid capacity. Coincidently, these urban areas are precisely where additional power is required. DER in this study refers to combined heat and power (CHP) technology, which simultaneously generates heat and electricity at or near the point where the energy will be consumed. There are multiple CHP options available that, combined with a portfolio of other building energy efficiency (EE) strategies, can help achieve a more efficient supply-demand balance than what the grid can currently provide. As an alternative to expanding grid capacity, CHP and EE strategies can be deployed in a flexible manner at virtually any point on the grid to relieve load. What's more, utilities and customers can install them in a variety of potentially profitable applications that are more environmentally friendly. Under the auspices of the New York State Energy Research and Development Authority (NYSERDA) and the Oak Ridge National Laboratory representing the Office of Electricity of the U.S. Department of Energy, Gas Technology Institute (GTI) conducted this study in cooperation with Consolidated Edison to help broaden the market penetration of EE and DER. This study provides realistic load models and identifies the impacts that EE and DER can have on the electrical distribution grid; specifically within the current economic and regulatory environment of a high load growth area of New York City called Hudson Yards in Midtown Manhattan. These models can be used to guide new policies that improve market penetration of appropriate CHP and EE technologies in new buildings. The following load modeling scenarios were investigated: (1) Baseline: All buildings are built per the Energy Conservation Construction Code of New York State (No CHP applied and no EE above the code); (2) Current Policy: This is a business-as-usual (BAU) scenario that incorporates some EE and DER based on market potential in the current economic and regulatory environment; (3) Modified Rate 14RA: This economic strategy is meant to decrease CHP payback by removing the contract demand from, and adding the delivery charge to the Con Edison Standby Rate PSC2, SC14-RA; (4) Carbon Trade at $20/metric tonne (mt): This policy establishes a robust carbon trading system in NY that would allow building owners to see the carbon reduction resulting from CHP and EE.

  4. Innovative Distributed Power Grid Interconnection and Control Systems: Final Report, December 11, 2000 - August 30, 2005

    SciTech Connect (OSTI)

    DePodesta, K.; Birlingmair, D.; West, R.

    2006-03-01T23:59:59.000Z

    The contract goal was to further advance distributed generation in the marketplace by making installations more cost-effective and compatible with existing systems. This was achieved by developing innovative grid interconnection and control systems.

  5. Energy-efficient control of a smart grid with sustainable homes based on distributing risk

    E-Print Network [OSTI]

    Ono, Masahiro, S.M. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    The goal of this thesis is to develop a distributed control system for a smart grid with sustainable homes. A central challenge is how to enhance energy efficiency in the presence of uncertainty. A major source of uncertainty ...

  6. Robust Networked Control Scheme for Distributed Secondary Control of Islanded MicroGrids

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    1 Robust Networked Control Scheme for Distributed Secondary Control of Islanded MicroGrids Qobad scenarios that have an increased number of distributed generators (DGs) within the MG. Due (RES) and distributed generators (DGs), microgrids (MGs) have recently attracted a significant interest

  7. Some characteristics of emerging distribution systems considering the smart grid initiative

    SciTech Connect (OSTI)

    Brown, Hilary E.; Suryanarayanan, Siddharth; Heydt, Gerald T.

    2010-06-15T23:59:59.000Z

    Modernization of the electric power system in the United States is driven by the Smart Grid Initiative. Many changes are planned in the coming years to the distribution side of the U.S. electricity delivery infrastructure to embody the idea of ''smart distribution systems.'' However, no functional or technical definition of a smart distribution system has yet been accepted by all. (author)

  8. Critical Perspectives on Large-Scale Distributed Applications and Production Grids

    E-Print Network [OSTI]

    Weissman, Jon

    not progressed in phase. Progress in the next phase and generation of distributed applications will require that can seamlessly utilize distributed infrastructures in an extensible and scalable fashion. We believeCritical Perspectives on Large-Scale Distributed Applications and Production Grids Shantenu Jha1

  9. Scaling Distributed Energy Storage for Grid Peak Reduction

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    large-scale centralized energy storage systems at strategic points in the grid, such as at power plants. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. e-Energy'13, May 21­24, 2013, Berkeley, California, USA. Copyright 2013 ACM 978

  10. INTEGRAL: ICT-platform based Distributed Control in electricity grids with a large share of Distributed

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    operating grids using extended context information from the level of individual devices to the highest HVDC

  11. Design, Simulation, and Analysis of Substation Automation Networks

    E-Print Network [OSTI]

    Kembanur Natarajan, Elangovan

    2012-07-16T23:59:59.000Z

    on the Substation Automation Systems (SAS). Substations are nodes in the smart grid infrastructure that help the in transportation of power by connecting the transmission and distribution lines. The SAS applications are con figured to operate with minimal human...

  12. Exploring Distributed Energy Alternatives to Electrical Distribution Grid Expansion in Souhern California Edison Service Territory

    SciTech Connect (OSTI)

    Stovall, Therese K [ORNL; Kingston, Tim [Gas Technology Institute

    2005-12-01T23:59:59.000Z

    Distributed energy (DE) technologies have received much attention for the energy savings and electric power reliability assurances that may be achieved by their widespread adoption. Fueling the attention have been the desires to globally reduce greenhouse gas emissions and concern about easing power transmission and distribution system capacity limitations and congestion. However, these benefits may come at a cost to the electric utility companies in terms of lost revenue and concerns with interconnection on the distribution system. This study assesses the costs and benefits of DE to both consumers and distribution utilities and expands upon a precursory study done with Detroit Edison (DTE)1, by evaluating the combined impact of DE, energy-efficiency, photovoltaics (a use of solar energy), and demand response that will shape the grid of the future. This study was funded by the U.S. Department of Energy (DOE), Gas Research Institute (GRI), American Electric Power (AEP), and Gas Technology Institute's (GTI) Distributed Energy Collaborative Program (DECP). It focuses on two real Southern California Edison (SCE) circuits, a 13 MW suburban circuit fictitiously named Justice on the Lincoln substation, and an 8 MW rural circuit fictitiously named Prosper on the Washington Substation. The primary objectives of the study were threefold: (1) Evaluate the potential for using advanced energy technologies, including DE, energy-efficiency (EE), demand response, electricity storage, and photovoltaics (PV), to reshape electric load curves by reducing peak demand, for real circuits. (2) Investigate the potential impact on guiding technology deployment and managing operation in a way that benefits both utilities and their customers by: (a) Improving grid load factor for utilities; (b) Reducing energy costs for customers; and (c) Optimizing electric demand growth. (3) Demonstrate benefits by reporting on a recently installed advanced energy system at a utility customer site. This study showed that advanced energy technologies are economical for many customers on the two SCE circuits analyzed, providing certain customers with considerable energy cost savings. Using reasonable assumptions about market penetration, the study showed that adding distributed generation would reduce peak demand on the two circuits enough to defer the need to upgrade circuit capacity. If the DE is optimally targeted, the deferral could economically benefit SCE, with cost savings that outweigh the lost revenues due to lower sales of electricity. To a lesser extent, economically justifiable energy-efficiency, photovoltaic technologies, and demand response could also help defer circuit capacity upgrades by reducing demand.

  13. A grid-enabled MPI : message passing in heterogeneous distributed computing systems.

    SciTech Connect (OSTI)

    Foster, I.; Karonis, N. T.

    2000-11-30T23:59:59.000Z

    Application development for high-performance distributed computing systems, or computational grids as they are sometimes called, requires grid-enabled tools that hide mundate aspects of the heterogeneous grid environment without compromising performance. As part of an investigation of these issues, they have developed MPICH-G, a grid-enabled implementation of the Message Passing Interface (MPI) that allows a user to run MPI programs across multiple computers at different sites using the same commands that would be used on a parallel computer. This library extends the Argonne MPICH implementation of MPI to use services provided by the globus grid toolkit. In this paper, they describe the MPICH-G implementation and present preliminary performance results.

  14. On the Capacity of a Wireless Backhaul for the Distribution Level of the Smart Grid

    E-Print Network [OSTI]

    Namboodiri, Vinod

    , Advanced Metering Infrastructure (AMI), Communications, Smart Meter, Capacity. I. INTRODUCTION THE need1 On the Capacity of a Wireless Backhaul for the Distribution Level of the Smart Grid Babak Karimi distribution. The advanced metering infrastructure (AMI) is one such application scenario where bidirectional

  15. Utility Grid-Connected Distributed Power Systems National Solar Energy Conference

    E-Print Network [OSTI]

    Utility Grid-Connected Distributed Power Systems National Solar Energy Conference ASES Solar 96 at least half of its energy obtained from energy efficiency and renewable resources by the year 2000. Solar energy, distributed generation resource. Investments made in solar power today are expected to provide

  16. THE INTEGRATION AND CONTROL OF MULTIFUNCTIONAL STATIONARY PV-BATTERY SYSTEMS IN SMART DISTRIBUTION GRID

    E-Print Network [OSTI]

    Berning, Torsten

    ) in presence of photovoltaic (PV) panel on the view of techno economic optimal sizing taking the considerationTHE INTEGRATION AND CONTROL OF MULTIFUNCTIONAL STATIONARY PV-BATTERY SYSTEMS IN SMART DISTRIBUTION stationary battery energy storage systems (BESS) in the public low-voltage distribution grid in order

  17. GridLab Power Distribution System Simulation | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating AGeothermal/ExplorationGoods | OpenInformation BestInformationGridLab

  18. Hybrid Control Network Intrusion Detection Systems for Automated Power Distribution Systems

    E-Print Network [OSTI]

    Peisert, Sean

    ) for protecting automated distribution systems (ADS) against certain types of cyber attacks in a new way, distribution au- tomation, network security, intrusion detection systems. I. INTRODUCTION A. Scope and Goals their development with that of an appropriate cyber security frame- work that would prevent attackers from gaining

  19. Abstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended to serve both

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Abstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended with differentiate QoS in a multitasking environment. I. INTRODUCTION ODERN society demands a reliable and high by the distribution utility for the security. REMPLI (Remote Energy Management over Power Lines and Internet) system

  20. Resilient Electric Distribution Grid R&D Workshop - June 11,...

    Office of Environmental Management (EM)

    are available for download, below. The final agenda and notes and reports from two concurrent breakout sessions are also available. Electric Power Distribution System...

  1. Smart Grid | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Meters, Conductor, Surge Protection Devices, Connectors, Lighting Controls, Grid-Scale Battery Storage, Grid-Scale Flywheel Energy for Frequency Regulation, Automation...

  2. Wireless Communications and Networking Technologies for Smart Grid: Paradigms and Challenges

    E-Print Network [OSTI]

    Fang, Xi; Xue, Guoliang

    2011-01-01T23:59:59.000Z

    Smart grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. In this work we present our vision on smart grid from the perspective of wireless communications and networking technologies. We present wireless communication and networking paradigms for four typical scenarios in the future smart grid and also point out the research challenges of the wireless communication and networking technologies used in smart grid

  3. PVUSA: The value of photovoltaics in the distribution system. The Kerman Grid-Support Project

    SciTech Connect (OSTI)

    Wenger, H.J.; Hoff, T.E. [Pacific Energy Group, Walnut Creek, CA (United States)

    1995-05-01T23:59:59.000Z

    As part of the Photovoltaics for Utility Scale Applications Applications (PVUSA) Project Pacific Gas Electric Company (PG&E) built the Kerman 500-kW photovoltaic power plant. Located near the end of a distribution feeder in a rural section of Fresno County, the plant was not built so much to demonstrate PV technology, but to evaluate its interaction with the local distribution grid and quantify available nontraditional grid-support benefits (those other than energy and capacity). As demand for new generation began to languish in the 1980s, and siting and permitting of power plants and transmission lines became more involved, utilities began considering smaller, distributed power sources. Potential benefits include shorter construction lead time, less capital outlay, and better utilization of existing assets. The results of a PG&E study in 1990/1991 of the benefits from a PV system to the distribution grid prompted the PVUSA Project to construct a plant at Kerman. Completed in 1993, the plant is believed to be the first one specifically built to evaluate the multiple benefits to the grid of a strategically sited plant. Each of nine discrete benefits were evaluated in detail by first establishing the technical impact, then translating the results into present economic value. Benefits span the entire system from distribution feeder to the generation fleet. This work breaks new ground in evaluation of distributed resources, and suggests that resource planning practices be expanded to account for these non-traditional benefits.

  4. Abstract -This paper presents the coordinated control of distributed energy storage systems (DESSs) in DC micro-grids.

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    ) in DC micro-grids. In order to balance the state-of-charge (SoC) of each energy storage unit (ESU--Droop control; distributed energy storage system (DESS); DC micro-grids; state-of-charge (SoC) I. INTRODUCTION and more popularity [1]. Nowadays DC micro-grids are becoming more attractive with the raise of DC power

  5. Topic 3: Smart Grid Communications A.H. MohsenianRad (U of T) 1Networking and Distributed Systems

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Aggregator PLC IP WMN ZigBee (Home Area Network) Substations Operation Sensors PLC IP/IEC #12;Smart GridTopic 3: Smart Grid Communications A.H. MohsenianRad (U of T) 1Networking and Distributed Systems Reference Model for Smart Grid Dr. Hamed Mohsenian-Rad Texas Tech UniversityCommunications and Control

  6. High Penetration of Photovoltaic (PV) Systems into the Distribution Grid, Workshop Report, February 24-25, 2009

    SciTech Connect (OSTI)

    Not Available

    2009-06-01T23:59:59.000Z

    Outcomes from the EERE Solar Energy Technologies Program workshop on high penetration of photovoltaic (PV) systems into the distribution grid, Feb. 24-25, 2009, Ontario, Calif.

  7. Vehicle-to-Grid Power: Battery, Hybrid, and Fuel Cell Vehicles as Resources for Distributed Electric Power in California

    E-Print Network [OSTI]

    Kempton, Willett; Tomic, Jasna; Letendre, Steven; Brooks, Alec; Lipman, Timothy

    2001-01-01T23:59:59.000Z

    Vehicle-to-Grid Power: Battery, Hybrid, and Fuel Cellrevenue – cost). Peak power Battery, full function Battery,sources of distributed power; battery-EDVs, fuel cell EDVs,

  8. Smoothing the Eects of Renewable Generation on the Distribution Grid

    E-Print Network [OSTI]

    Naud, Paul S.

    2014-01-01T23:59:59.000Z

    Fortunately, inverter data from a customer with a PV systemsystem, in series with a PV array and ahead of the inverter,PV is fed into an inverter to feed energy into the distribution system.

  9. Grid-Competitive Residential and Commercial Fully Automated PV Systems Technology: Final technical Report, August 2011

    SciTech Connect (OSTI)

    Brown, Katie E.; Cousins, Peter; Culligan, Matt; Jonathan Botkin; DeGraaff, David; Bunea, Gabriella; Rose, Douglas; Bourne, Ben; Koehler, Oliver

    2011-08-26T23:59:59.000Z

    Under DOE's Technology Pathway Partnership program, SunPower Corporation developed turn-key, high-efficiency residential and commercial systems that are cost effective. Key program objectives include a reduction in LCOE values to 9-12 cents/kWh and 13-18 cents/kWh respectively for the commercial and residential markets. Target LCOE values for the commercial ground, commercial roof, and residential markets are 10, 11, and 13 cents/kWh. For this effort, SunPower collaborated with a variety of suppliers and partners to complete the tasks below. Subcontractors included: Solaicx, SiGen, Ribbon Technology, Dow Corning, Xantrex, Tigo Energy, and Solar Bridge. SunPower's TPP addressed nearly the complete PV value chain: from ingot growth through system deployment. Throughout the award period of performance, SunPower has made progress toward achieving these reduced costs through the development of 20%+ efficient modules, increased cell efficiency through the understanding of loss mechanisms and improved manufacturing technologies, novel module development, automated design tools and techniques, and reduced system development and installation time. Based on an LCOE assessment using NREL's Solar Advisor Model, SunPower achieved the 2010 target range, as well as progress toward 2015 targets.

  10. Valliappa Lakshmanan Automating the Analysis of

    E-Print Network [OSTI]

    Lakshmanan, Valliappa

    Geospatial Images January 5, 2012 Springer #12;Contents 1 Automated Analysis of Spatial Grids: MotivationValliappa Lakshmanan Automating the Analysis of Spatial Grids A Practitioner's Guide to Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Challenges in Automated Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1

  11. Distributing Power to Electric Vehicles on a Smart Grid Yingjie Zhou*,

    E-Print Network [OSTI]

    Maxemchuk, Nicholas F.

    Distributing Power to Electric Vehicles on a Smart Grid Yingjie Zhou*, , Student Member, IEEE.edu Abstract--Electric vehicles create a demand for additional electrical power. As the popularity of electric. However, in the interim the rate at which electric vehicles can be deployed will depend on our ability

  12. Sub-grid parameterization of snow distribution for an energy and mass balance snow cover model

    E-Print Network [OSTI]

    Sub-grid parameterization of snow distribution for an energy and mass balance snow cover model model of the lumped snowpack mass and energy balance applied to a 26-ha rangeland catchment with high (Af). The energy state variable is evolved through an energy balance. The snow water equivalence state

  13. Secure Distributed Solution for Optimal Energy Consumption Scheduling in Smart Grid

    E-Print Network [OSTI]

    Shehab, Mohamed

    Secure Distributed Solution for Optimal Energy Consumption Scheduling in Smart Grid Mohammad Emails: {mrahman4, lbai2, mshehab, ealshaer}@uncc.edu Abstract--The demand-side energy management is crucial to optimize the energy usage with its production cost, so that the price paid by the users

  14. A Sequential Game Perspective and Optimization of the Smart Grid with Distributed Data Centers

    E-Print Network [OSTI]

    Pedram, Massoud

    by significantly increasing the load at locations where they are built. Dynamic energy pricing policies in the sequential games are the smart grid controller that sets the energy price signal and the cloud computing established a trend towards building massive, energy-hungry, and geographically distributed data centers. Due

  15. Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost

    E-Print Network [OSTI]

    Pedram, Massoud

    is to perform demand side management (DSM) [1], which aims at matching the consum- ers' electricity demand between electricity consumption and generation. On the consumption side, electric demand ramps upDistributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost Siyu Yue

  16. Distributed Internet-based Load Altering Attacks against Smart Power Grids

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    technology in advanced demand side management and given the growth in power consumption in the computation by compromising direct load control command signals, demand side management price signals, or cloud computation distribution system. Keywords: Smart grid security, Internet-based load altering attacks, demand side

  17. Distributed Smart-home Decision-making in a Hierarchical Interactive Smart Grid

    E-Print Network [OSTI]

    Jayaweera, Sudharman K.

    1 Distributed Smart-home Decision-making in a Hierarchical Interactive Smart Grid Architecture Ding of the individual smart-homes to actually achieve the optimal solution derived by the controller under realistic for all smart-homes in the auctioning game, collusive equilibria do exist and can jeopardize

  18. Coordination of the Smart Grid and Distributed Data Centers: A Nested Game-Based Optimization Framework

    E-Print Network [OSTI]

    Pedram, Massoud

    the other load devices perform demand side management. The objective of the smart grid controller computing has established a trend towards building energy-hungry and geographically distributed data centers between the electricity price at each power bus and the total load demand at that bus. In the second stage

  19. Automated Energy Distribution and Reliability System: Validation Integration - Results of Future Architecture Implementation

    SciTech Connect (OSTI)

    Buche, D. L.

    2008-06-01T23:59:59.000Z

    This report describes Northern Indiana Public Service Co. project efforts to develop an automated energy distribution and reliability system. The purpose of this project was to implement a database-driven GIS solution that would manage all of the company's gas, electric, and landbase objects. This report is second in a series of reports detailing this effort.

  20. IEEE 1547 and 2030 Standards for Distributed Energy Resources Interconnection and Interoperability with the Electricity Grid

    SciTech Connect (OSTI)

    Basso, T.

    2014-12-01T23:59:59.000Z

    Public-private partnerships have been a mainstay of the U.S. Department of Energy and the National Renewable Energy Laboratory (DOE/NREL) approach to research and development. These partnerships also include technology development that enables grid modernization and distributed energy resources (DER) advancement, especially renewable energy systems integration with the grid. Through DOE/NREL and industry support of Institute of Electrical and Electronics Engineers (IEEE) standards development, the IEEE 1547 series of standards has helped shape the way utilities and other businesses have worked together to realize increasing amounts of DER interconnected with the distribution grid. And more recently, the IEEE 2030 series of standards is helping to further realize greater implementation of communications and information technologies that provide interoperability solutions for enhanced integration of DER and loads with the grid. For these standards development partnerships, for approximately $1 of federal funding, industry partnering has contributed $5. In this report, the status update is presented for the American National Standards IEEE 1547 and IEEE 2030 series of standards. A short synopsis of the history of the 1547 standards is first presented, then the current status and future direction of the ongoing standards development activities are discussed.

  1. Role of Standard Demand Response Signals for Advanced Automated Aggregation

    E-Print Network [OSTI]

    Kiliccote, Sila

    2013-01-01T23:59:59.000Z

    for the Open Automated Demand Response (OpenADR) StandardsControl for Automated Demand Response, Grid Interop, 2009. [C. McParland, Open Automated Demand Response Communications

  2. Distribution Grid Codes: Opportunities and Challenges N. K. Roy, Student Member, IEEE and H. R. Pota, Member, IEEE

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    , voltage regulation, islanding operation. I. INTRODUCTION Distributed Generation (DG) is an approach of distributed generation (DG) units with significant capacity in these passive networks can cause reverse power the reliability of distribution systems. Index Terms-- Distributed generation (DG), grid code, power quality

  3. Sandia National Laboratories: Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Grid Integration Energy Supply Transformation Needed On February 20, 2013, in DETL, Distribution Grid Integration, Energy, Energy Assurance, Energy Surety, Grid Integration,...

  4. Sandia National Laboratories: SMART Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SMART Grid Mesa del Sol Project Is Finalist for International Smart Grid Action Network 2014 Award of Excellence On July 31, 2014, in Distribution Grid Integration, Energy, Energy...

  5. Sandia National Laboratories: SMART Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Offers Approach to Help Utilities Understand Effects of PV Variability on the Grid On March 7, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety, Facilities, Grid...

  6. Sandia National Laboratories: electric grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    grid ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety, Facilities, Grid Integration,...

  7. Distributed and/or grid-oriented approach to BTeV data analysis

    SciTech Connect (OSTI)

    Joel N. Butler

    2002-12-23T23:59:59.000Z

    The BTeV collaboration will record approximately 2 petabytes of raw data per year. It plans to analyze this data using the distributed resources of the collaboration as well as dedicated resources, primarily residing in the very large BTeV trigger farm, and resources accessible through the developing world-wide data grid. The data analysis system is being designed from the very start with this approach in mind. In particular, we plan a fully disk-based data storage system with multiple copies of the data distributed across the collaboration to provide redundancy and to optimize access. We will also position ourself to take maximum advantage of shared systems, as well as dedicated systems, at our collaborating institutions.

  8. Grid Architecture

    Broader source: Energy.gov (indexed) [DOE]

    Integration of Distributed Generation", John McDonald, et.al. Electrical Transmission and Smart Grids, Springer, 2013. 4.25 Figure 4.17. Common Distribution Looping Arrangements In...

  9. A Game-Theoretic Framework for Control of Distributed Renewable-Based Energy Resources in Smart Grids

    E-Print Network [OSTI]

    Liberzon, Daniel

    A Game-Theoretic Framework for Control of Distributed Renewable-Based Energy Resources in Smart¸ar Abstract-- Renewable energy plays an important role in distributed energy resources in smart grid systems. Deployment and integration of renewable energy resources require an intelligent management to optimize

  10. Maui Smart Grid Demonstration Project Managing Distribution System Resources for Improved Service Quality and Reliability, Transmission Congestion Relief, and Grid Support Functions

    SciTech Connect (OSTI)

    None, None

    2014-09-30T23:59:59.000Z

    The Maui Smart Grid Project (MSGP) is under the leadership of the Hawaii Natural Energy Institute (HNEI) of the University of Hawaii at Manoa. The project team includes Maui Electric Company, Ltd. (MECO), Hawaiian Electric Company, Inc. (HECO), Sentech (a division of SRA International, Inc.), Silver Spring Networks (SSN), Alstom Grid, Maui Economic Development Board (MEDB), University of Hawaii-Maui College (UHMC), and the County of Maui. MSGP was supported by the U.S. Department of Energy (DOE) under Cooperative Agreement Number DE-FC26-08NT02871, with approximately 50% co-funding supplied by MECO. The project was designed to develop and demonstrate an integrated monitoring, communications, database, applications, and decision support solution that aggregates renewable energy (RE), other distributed generation (DG), energy storage, and demand response technologies in a distribution system to achieve both distribution and transmission-level benefits. The application of these new technologies and procedures will increase MECO’s visibility into system conditions, with the expected benefits of enabling more renewable energy resources to be integrated into the grid, improving service quality, increasing overall reliability of the power system, and ultimately reducing costs to both MECO and its customers.

  11. Voltage multi-stability in distribution grids with power flow reversal

    E-Print Network [OSTI]

    Hung D. Nguyen; Konstantin Turitsyn

    2014-07-08T23:59:59.000Z

    High levels of penetration of distributed generation and aggressive reactive power compensation with modern power electronics may result in the reversal of active and reactive power flows in future distribution grids. The voltage stability of these operating conditions may be very different from the more traditional power consumption regime. We study the stability characteristics of distribution networks with reversed power flow. After introducing a universal algebraic approach to characterize all the solutions of the power flow equations, we show that new solutions appear in the reversed power flow regime even in the simplest three bus systems. We show that the some of these solutions are stable and the system may exhibit a phenomenon of multistability, where multiple stable equilibria co-exist at the given set of parameters, and the system may converge to an undesirable equilibrium after a disturbance. These predictions are validated with dynamic simulations of two different systems. Under certain conditions the new states are viable and may be characterized by relatively high voltages. Possible approaches towards reactive power/voltage regulation as well as permissible distributed generation capacity in future power systems are proposed and discussed in the end of the paper.

  12. The Development of a Smart Distribution Grid Testbed for Integrated Information Management Systems

    SciTech Connect (OSTI)

    Lu, Ning; Du, Pengwei; Paulson, Patrick R.; Greitzer, Frank L.; Guo, Xinxin; Hadley, Mark D.

    2011-07-28T23:59:59.000Z

    This paper presents a smart distribution grid testbed to test or compare designs of integrated information management systems (I2MSs). An I2MS extracts and synthesizes information from a wide range of data sources to detect abnormal system behaviors, identify possible causes, assess the system status, and provide grid operators with response suggestions. The objective of the testbed is to provide a modeling environment with sufficient data sources for the I2MS design. The testbed includes five information layers and a physical layer; it generates multi-layer chronological data based on actual measurement playbacks or simulated data sets produced by the physical layer. The testbed models random hardware failures, human errors, extreme weather events, and deliberate tampering attempts to allow users to evaluate the performance of different I2MS designs. Initial results of I2MS performance tests showed that the testbed created a close-to-real-world environment that allowed key performance metrics of the I2MS to be evaluated.

  13. Artificial Intelligence for the Smart Grid

    E-Print Network [OSTI]

    Artificial Intelligence for the Smart Grid NICTA is developing technology to automate costs. The Future · Cover more of Smart Grid control (diagnosis, reconfiguration, protection, voltage) products for the Smart Grid. Contact Details: Technical Jussi Rintanen Canberra Research Laboratory Tel

  14. RTDS-Based Design and Simulation of Distributed P-Q Power Resources in Smart Grid

    E-Print Network [OSTI]

    Taylor, Zachariah David

    2014-01-01T23:59:59.000Z

    micro-wind turbines are connected to grid by cascading rectifier stages with an inverter stage. Energy storage

  15. Houston's Smart Grid: Transforming the Future of Electric Distribution & Energy Consumption

    E-Print Network [OSTI]

    Bartel, W.

    2012-01-01T23:59:59.000Z

    of a Smart Grid Smart Meters Intelligent Grid Expanded Energy Sources 3 Digital Meters Meter Data Management System Common Portal / Data Repository Home Area Network CNP?s smart grid journey A history of stakeholder commitment 1990s... Existing Consumer Education & Engagement ? Maximize consumer awareness of CNP?s smart grid program ? Develop consumer understanding of the new technology ? Facilitate active consumer engagement in smart energy management ? In Home Display Pilot...

  16. Smart Grid Demos Provide Guidance on Integrating DER and RES into the Distribution System with Consideration of Transmission Impacts, Market Signals, and Technologies

    SciTech Connect (OSTI)

    Kueck, John D [ORNL] [ORNL; Hamilton, Stephanie [Electric Power Research Institute (EPRI)] [Electric Power Research Institute (EPRI); Smith, Merrill [U.S. Department of Energy] [U.S. Department of Energy

    2010-01-01T23:59:59.000Z

    This paper describes the overall process for developing a planning criteria and deployment strategy for technology applications under the US Department of Energy (USDOE) and Electric Power Research Institute (EPRI) Smart Grid programs. These activities described provide an understanding of each demonstration and how they individually and as group further industry knowledge of Distributed Energy Resources (DER) and Renewable Energy Sources (RES) impact the grid and how the distribution grid can interact with DER and RES in smart ways. Both USDOE through its Renewable and Distributed Systems Integration (RDSI) and EPRI via its Smart Grid Demonstration Program both assess how DER and RES can be integrated and operated to lower the carbon footprint.

  17. Multi-Agent Based Techniques for Coordinating the Distribution of Electricity in a Micro-Grid Environment

    E-Print Network [OSTI]

    Southampton, University of

    and agent managed microgrids. Fred Schweppe, a recognised world leader in the field of electric powerMulti-Agent Based Techniques for Coordinating the Distribution of Electricity in a Micro-Grid will be required which incor- porates intermittent renewable resources, micro-generators, micro-storage devices

  18. Test Automation Test Automation

    E-Print Network [OSTI]

    Mousavi, Mohammad

    Test Automation Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2013 Mousavi: Test Automation #12;Test Automation Outline Test Automation Mousavi: Test Automation #12;Test Automation Why? Challenges of Manual Testing Test-case design: Choosing inputs

  19. Houston's Smart Grid: Transforming the Future of Electric Distribution & Energy Consumption 

    E-Print Network [OSTI]

    Bartel, W.

    2012-01-01T23:59:59.000Z

    % saved 52% on event days 13 What?s Next? Smart Meters Were Just The Beginning HAN Devices Smart Appliances Smart Meter Texas Portal Intelligent Grid Phase 1: Customer Insight Smart Meters Storage Electric vehicles Phase 2...: Customer Engagement Micro Grids Aggregated Demand Management Phase 3: Customer Co-Creator of Value 2010 2020 2014 2013 2012 2011 Price control / load control Advanced Grid 14 We can?t do it alone Per the DOE Grant Agreement,: ?If you...

  20. The Earth System Grid Federation: An Open Infrastructure for Access to Distributed Geo-Spatial Data

    SciTech Connect (OSTI)

    Cinquini, Luca [Jet Propulsion Laboratory, Pasadena, CA; Crichton, Daniel [Jet Propulsion Laboratory, Pasadena, CA; Miller, Neill [Argonne National Laboratory (ANL); Mattmann, Chris [Jet Propulsion Laboratory, Pasadena, CA; Harney, John F [ORNL; Shipman, Galen M [ORNL; Wang, Feiyi [ORNL; Bell, Gavin [Lawrence Livermore National Laboratory (LLNL); Drach, Bob [Lawrence Livermore National Laboratory (LLNL); Ananthakrishnan, Rachana [Argonne National Laboratory (ANL); Pascoe, Stephen [STFC Rutherford Appleton Laboratory, NCAS/BADC; Kershaw, Philip [STFC Rutherford Appleton Laboratory, NCAS/BADC; Gonzalez, Estanislao [German Climate Computing Center; Fiore, Sandro [Euro-Mediterranean Center on Climate Change; Schweitzer, Roland [Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration; Danvil, Sebastian [Institut Pierre Simon Laplace (IPSL), Des Sciences de L'Environnement; Morgan, Mark [Institut Pierre Simon Laplace (IPSL), Des Sciences de L'Environnement

    2012-01-01T23:59:59.000Z

    The Earth System Grid Federation (ESGF) is a multi-agency, international collaboration that aims at developing the software infrastructure needed to facilitate and empower the study of climate change on a global scale. The ESGF s architecture employs a system of geographically distributed peer nodes, which are independently administered yet united by the adoption of common federation protocols and application programming interfaces (APIs). The cornerstones of its interoperability are the peer-to-peer messaging that is continuously exchanged among all nodes in the federation; a shared architecture and API for search and discovery; and a security infrastructure based on industry standards (OpenID, SSL, GSI and SAML). The ESGF software is developed collaboratively across institutional boundaries and made available to the community as open source. It has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the entire model output used for the next international assessment report on climate change (IPCC-AR5) and a suite of satellite observations (obs4MIPs) and reanalysis data sets (ANA4MIPs).

  1. The Earth System Grid Federation: An Open Infrastructure for Access to Distributed Geospatial Data

    SciTech Connect (OSTI)

    Ananthakrishnan, Rachana [Argonne National Laboratory (ANL); Bell, Gavin [Lawrence Livermore National Laboratory (LLNL); Cinquini, Luca [Jet Propulsion Laboratory, Pasadena, CA; Crichton, Daniel [Jet Propulsion Laboratory, Pasadena, CA; Danvil, Sebastian [Institut Pierre Simon Laplace (IPSL), Des Sciences de L'Environnement; Drach, Bob [Lawrence Livermore National Laboratory (LLNL); Fiore, Sandro [Euro-Mediterranean Center on Climate Change; Gonzalez, Estanislao [German Climate Computing Center; Harney, John F [ORNL; Mattmann, Chris [Jet Propulsion Laboratory, Pasadena, CA; Kershaw, Philip [STFC Rutherford Appleton Laboratory, NCAS/BADC; Miller, Neill [Argonne National Laboratory (ANL); Morgan, Mark [Institut Pierre Simon Laplace (IPSL), Des Sciences de L'Environnement; Pascoe, Stephen [STFC Rutherford Appleton Laboratory, NCAS/BADC; Schweitzer, Roland [Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration; Shipman, Galen M [ORNL; Wang, Feiyi [ORNL

    2013-01-01T23:59:59.000Z

    The Earth System Grid Federation (ESGF) is a multi-agency, international collaboration that aims at developing the software infrastructure needed to facilitate and empower the study of climate change on a global scale. The ESGF s architecture employs a system of geographically distributed peer nodes, which are independently administered yet united by the adoption of common federation protocols and application programming interfaces (APIs). The cornerstones of its interoperability are the peer-to-peer messaging that is continuously exchanged among all nodes in the federation; a shared architecture and API for search and discovery; and a security infrastructure based on industry standards (OpenID, SSL, GSI and SAML). The ESGF software is developed collaboratively across institutional boundaries and made available to the community as open source. It has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the entire model output used for the next international assessment report on climate change (IPCC-AR5) and a suite of satellite observations (obs4MIPs) and reanalysis data sets (ANA4MIPs).

  2. AUSTRIAN GRID AUSTRIAN GRID

    E-Print Network [OSTI]

    AUSTRIAN GRID 1/18 AUSTRIAN GRID THE INITIAL VERSION OF SEE-GRID Document Identifier: AG-DA1c-1) #12;AUSTRIAN GRID 2/18 Delivery Slip Name Partner Date Signature From Károly Bósa RISC 31 See cover on page 3 #12;AUSTRIAN GRID 3/18 THE INITIAL VERSION OF SEE-GRID Karoly Bosa Wolfgang

  3. automated home monitoring: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    General Terms Design, Measurement, Management Keywords Home Automation, Load Monitoring, Smart Grid 1 control for many years, and are be- ing widely deployed in early smart grid...

  4. Grid Data Access on Widely Distributed Worker Nodes Using Scalla and SRM

    SciTech Connect (OSTI)

    Jakl, Pavel; /Prague, Inst. Phys.; Lauret, Jerome; /Brookhaven; Hanushevsky, Andrew; /SLAC; Shoshani, Arie; /LBL, Berkeley; Sim, Alex; /LBL, Berkeley; Gu, Junmin; /LBL, Berkeley

    2011-11-10T23:59:59.000Z

    Facing the reality of storage economics, NP experiments such as RHIC/STAR have been engaged in a shift of the analysis model, and now heavily rely on using cheap disks attached to processing nodes, as such a model is extremely beneficial over expensive centralized storage. Additionally, exploiting storage aggregates with enhanced distributed computing capabilities such as dynamic space allocation (lifetime of spaces), file management on shared storages (lifetime of files, pinning file), storage policies or a uniform access to heterogeneous storage solutions is not an easy task. The Xrootd/Scalla system allows for storage aggregation. We will present an overview of the largest deployment of Scalla (Structured Cluster Architecture for Low Latency Access) in the world spanning over 1000 CPUs co-sharing the 350 TB Storage Elements and the experience on how to make such a model work in the RHIC/STAR standard analysis framework. We will explain the key features and approach on how to make access to mass storage (HPSS) possible in such a large deployment context. Furthermore, we will give an overview of a fully 'gridified' solution using the plug-and-play features of Scalla architecture, replacing standard storage access with grid middleware SRM (Storage Resource Manager) components designed for space management and will compare the solution with the standard Scalla approach in use in STAR for the past 2 years. Integration details, future plans and status of development will be explained in the area of best transfer strategy between multiple-choice data pools and best placement with respect of load balancing and interoperability with other SRM aware tools or implementations.

  5. Sandia National Laboratories: International Smart Grid Action...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Smart Grid Action Network Mesa del Sol Project Is Finalist for International Smart Grid Action Network 2014 Award of Excellence On July 31, 2014, in Distribution Grid Integration,...

  6. RTDS-Based Design and Simulation of Distributed P-Q Power Resources in Smart Grid

    E-Print Network [OSTI]

    Taylor, Zachariah David

    2014-01-01T23:59:59.000Z

    1.2 MW grid-connected solar panel at bus 8. The power outputis as in Figure 5.11 [104]. Solar Panel Power Injection (pu)The daily output of the solar panel during a cloudy day.

  7. ETM (Distribution Network Automation on 10 kV cable line stations...

    Open Energy Info (EERE)

    will be equipped by RTUs, to provide remote observability and remote control. The communication (connection) is established via GSM network. References "EU Smart Grid...

  8. Smart Grid Interoperability Maturity Model

    SciTech Connect (OSTI)

    Widergren, Steven E.; Levinson, Alex; Mater, J.; Drummond, R.

    2010-04-28T23:59:59.000Z

    The integration of automation associated with electricity resources (including transmission and distribution automation and demand-side resources operated by end-users) is key to supporting greater efficiencies and incorporating variable renewable resources and electric vehicles into the power system. The integration problems faced by this community are analogous to those faced in the health industry, emergency services, and other complex communities with many stakeholders. To highlight this issue and encourage communication and the development of a smart grid interoperability community, the GridWise Architecture Council (GWAC) created an Interoperability Context-Setting Framework. This "conceptual model" has been helpful to explain the importance of organizational alignment in addition to technical and informational interface specifications for "smart grid" devices and systems. As a next step to building a community sensitive to interoperability, the GWAC is investigating an interoperability maturity model (IMM) based on work done by others to address similar circumstances. The objective is to create a tool or set of tools that encourages a culture of interoperability in this emerging community. The tools would measure status and progress, analyze gaps, and prioritize efforts to improve the situation.

  9. PhotoVoltaic distributed generation for Lanai power grid real-time simulation and control integration scenario.

    SciTech Connect (OSTI)

    Robinett, Rush D., III; Kukolich, Keith (Opal RT Technologies, Montreal, Quebec, Canada); Wilson, David Gerald; Schenkman, Benjamin L.

    2010-06-01T23:59:59.000Z

    This paper discusses the modeling, analysis, and testing in a real-time simulation environment of the Lanai power grid system for the integration and control of PhotoVoltaic (PV) distributed generation. The Lanai Island in Hawaii is part of the Hawaii Clean Energy Initiative (HCEI) to transition to 30% renewable green energy penetration by 2030. In Lanai the primary loads come from two Castle and Cook Resorts, in addition to residential needs. The total peak load profile is 12470 V, 5.5 MW. Currently there are several diesel generators that meet these loading requirements. As part of the HCEI, Lanai has initially installed 1.2 MW of PV generation. The goal of this study has been to evaluate the impact of the PV with respect to the conventional carbon-based diesel generation in real time simulation. For intermittent PV distributed generation, the overall stability and transient responses are investigated. A simple Lanai 'like' model has been developed in the Matlab/Simulink environment (see Fig. 1) and to accommodate real-time simulation of the hybrid power grid system the Opal-RT Technologies RT-Lab environment is used. The diesel generators have been modelled using the SimPowerSystems toolbox swing equations and a custom Simulink module has been developed for the High level PV generation. All of the loads have been characterized primarily as distribution lines with series resistive load banks with one VAR load bank. Three-phase faults are implemented for each bus. Both conventional and advanced control architectures will be used to evaluate the integration of the PV onto the current power grid system. The baseline numerical results include the stable performance of the power grid during varying cloud cover (PV generation ramping up/down) scenarios. The importance of assessing the real-time scenario is included.

  10. Sandia National Laboratories: Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    IEC 61400-26 Availability Standard On June 12, 2014, in Analysis, Distribution Grid Integration, Energy, Grid Integration, Infrastructure Security, News, News & Events,...

  11. Sandia National Laboratories: grid modernization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    grid modernization Renewables, Other Energy Issues To Be Focus of Enhanced Sandia-SINTEF Collaboration On May 28, 2014, in Biofuels, CRF, Distribution Grid Integration, Energy,...

  12. Sandia National Laboratories: SMART Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Storage Safety Workshop On April 7, 2014, in Capabilities, CINT, Distribution Grid Integration, Energy, Energy Storage, Energy Storage Systems, Facilities, Grid...

  13. Sandia National Laboratories: Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia Offers Approach to Help Utilities Understand Effects of PV Variability on the Grid On March 7, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety,...

  14. Sandia National Laboratories: SMART Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Photovoltaic Specialists (PVSC) Conference On August 14, 2013, in DETL, Distribution Grid Integration, Energy, Facilities, Grid Integration, News, News & Events, Photovoltaic,...

  15. Real-Time Power Balancing in Electric Grids with Distributed Storage

    E-Print Network [OSTI]

    Liang, Ben

    is frequency regulation, which operates every few seconds to maintain the frequency of a power grid at its and the need to reduce greenhouse gas emissions, more and more renewable energy resources, such as wind battery size constraints, cost of using external energy sources, and battery degradation. We develop

  16. Topic 7 : Smart Grid Privacy and Security 1Networking and Distributed Systems

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    to manage their load / bills. · Energy Detective®, Google Power meter®, ... #12;Smart Meter Privacy Concerns Grid 8 · Each appliance has a "signature": Power Usage to Personal Activity Mapping #12;Smart Meter have their own signature. · Laptop computers have their own signature #12;Smart Meter Privacy Concerns

  17. Cactus and Visapult: An Ultra-High Performance Grid-Distributed Visualization Architecture

    E-Print Network [OSTI]

    Connectionless Protocols E. Wes Bethel and John Shalf Lawrence Berkeley National Laboratory National Energy in the memory and data storage capabilities of the largest supercomputing installations in the world has operated network/Grid-connected observatories and experimental equipment come online [1]. While statistical

  18. Grid Architecture William E. Johnston

    E-Print Network [OSTI]

    Grid Architecture William E. Johnston Lawrence Berkeley National Lab and NASA Ames Research Center wejohnston@lbl.gov (These slides are available at grid.lbl.gov/~wej/Grids) #12;Distributed Resources Condor Internet optical networks space-based networks Grid Communication Functions Communications BasicGrid

  19. Honeywell Demonstrates Automated Demand Response Benefits for...

    Broader source: Energy.gov (indexed) [DOE]

    Honeywell's Smart Grid Investment Grant (SGIG) project demonstrates utility-scale performance of a hardwaresoftware platform for automated demand response (ADR). This project...

  20. Methodology for combined Integration of electric vehicles and distributed resources into the electric grid

    E-Print Network [OSTI]

    Gunter, Samantha Joellyn

    2011-01-01T23:59:59.000Z

    Plug-in electric vehicles and distributed generation are expected to appear in growing numbers over the next few decades. Large scale unregulated penetration of plug-in electric vehicles and distributed generation can each ...

  1. The Evolution of the Internet Community and the "Yet-to-Evolve" Smart Grid Community: Parallels and Lessons-to-be-Learned

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01T23:59:59.000Z

    of the co-located Smart Grid and home automation networkbetween the Smart Grid and home automation systems is beingthe expansion of the Smart Grid into the home environment.

  2. Optimal Design of Grid-Connected PEV Charging Systems With Integrated Distributed Resources

    E-Print Network [OSTI]

    Perreault, David J.

    The penetration of plug-in electric vehicles and renewable distributed generation is expected to increase over the next few decades. Large scale unregulated deployment of either technology can have a detrimental impact on ...

  3. Wireless Communication for Smart Grid Applications at Distribution Level Feasibility and Requirements

    E-Print Network [OSTI]

    Namboodiri, Vinod

    and reduce the latency of event notification. Fault location is considered as an example application AND DESIGN FOR DISTRIBUTION Traditional system control and data acquisition (SCADA) level communication has

  4. Hybrid Control Network Intrusion Detection Systems for Automated Power Distribution Systems

    E-Print Network [OSTI]

    Parvania, Masood; Koutsandria, Georgia; Muthukumar, Vishak; Peisert, Sean; McParland, Chuck; Scaglione, Anna

    2014-01-01T23:59:59.000Z

    Security protocols against cyber attacks in the distributioncyber security weak- ness and system fragility of power distribution

  5. IEEE TRANSACTIONS ON SMART GRID 1 Optimal, Nonlinear, and Distributed Designs of

    E-Print Network [OSTI]

    Qu, Zhihua

    and utilizing alternative energy sources. Of special interest are renewable energy sources such as solar- neering for Accelerated Renewable Energy Deployment program), and by US Department of Energy's Solar of optimal voltage and power regulation is formulated for distributed generators (DGs) in DC microgrids

  6. Understanding The Smart Grid

    SciTech Connect (OSTI)

    NONE

    2007-11-15T23:59:59.000Z

    The report provides an overview of what the Smart Grid is and what is being done to define and implement it. The electric industry is preparing to undergo a transition from a centralized, producer-controlled network to a decentralized, user-interactive one. Not only will the technology involved in the electric grid change, but the entire business model of the industry will change too. A major objective of the report is to identify the changes that the Smart Grid will bring about so that industry participants can be prepared to face them. A concise overview of the development of the Smart Grid is provided. It presents an understanding of what the Smart Grid is, what new business opportunities or risks might come about due to its introduction, and what activities are already taking place regarding defining or implementing the Smart Grid. This report will be of interest to the utility industry, energy service providers, aggregators, and regulators. It will also be of interest to home/building automation vendors, information technology vendors, academics, consultants, and analysts. The scope of the report includes an overview of the Smart Grid which identifies the main components of the Smart Grid, describes its characteristics, and describes how the Smart Grid differs from the current electric grid. The overview also identifies the key concepts involved in the transition to the Smart Grid and explains why a Smart Grid is needed by identifying the deficiencies of the current grid and the need for new investment. The report also looks at the impact of the Smart Grid, identifying other industries which have gone through a similar transition, identifying the overall benefits of the Smart Grid, and discussing the impact of the Smart Grid on industry participants. Furthermore, the report looks at current activities to implement the Smart Grid including utility projects, industry collaborations, and government initiatives. Finally, the report takes a look at key technology providers involved in the Smart Grid and provides profiles on them including contact information, company overviews, technology reviews, and key Smart Grid activities.

  7. Connecting Distributed Energy Resources to the Grid: Their Benefits to the DER Owner etc.

    SciTech Connect (OSTI)

    Poore, WP

    2003-07-09T23:59:59.000Z

    The vision of the Distributed Energy Research Program (DER) program of the U.S. Department of Energy (DOE) is that the United States will have the cleanest and most efficient and reliable energy system in the world by maximizing the use of affordable distributed energy resources. Electricity consumers will be able to choose from a diverse number of efficient, cost-effective, and environmentally friendly distributed energy options and easily connect them into the nation's energy infrastructure while providing benefits to their owners and other stakeholders. The long-term goal of this vision is that DER will achieve a 20% share of new electric capacity additions in the United States by 2010, thereby helping to make the nation's electric power generation and delivery system more efficient, reliable, secure, clean, economical, and diverse in terms of fuel use (oil, natural gas, solar, hydroelectric, etc.) and prime mover resource (solar, wind, gas turbines, etc.). Near- and mid-term goals are to develop new technologies for implementing and operating DER and address barriers associated with DER usage and then to reduce costs and emissions and improve the efficiency and reliability of DER. Numerous strategies for meeting these goals have been developed into a research, development, and demonstration (RD&D) program that supports generation and delivery systems architecture, including modeling and simulation tools. The benefits associated with DER installations are often significant and numerous. They almost always provide tangible economic benefits, such as energy savings or transmission and distribution upgrade deferrals, as well as intangible benefits, such as power quality improvements that lengthen maintenance or repair intervals for power equipment. Also, the benefits routinely are dispersed among end users, utilities, and the public. For instance, an end user may use the DER to reduce their peak demand and save money due to lower demand charges. Reduced end user peak demand, in turn, may lower a distribution system peak load such that upgrades are deferred or avoided. This could benefit other consumers by providing them with higher reliability and power quality as well as avoiding their cost share of a distribution system upgrade. In this example, the costs of the DER may be born by the end user, but that user reaps only a share of the benefits. This report, the first product of a study to quantify the value of DER, documents initial project efforts to develop an assessment methodology. The focus of currently available site-specific DER assessment techniques are typically limited to two parties, the owner/user and the local utility. Rarely are the impacts on other stakeholders, including interconnected distribution utilities, transmission system operators, generating system operators, other local utility customers, local and regional industry and business, various levels of government, and the environment considered. The goal of this assessment is to quantify benefits and cost savings that accrue broadly across a region, recognizing that DER installations may have local, regional, or national benefits.

  8. This document is a preprint of the final paper: Shafiee, Qobad; Vasquez, Juan C.; Guerrero, Josep M.; , "Distributed secondary control for islanded MicroGrids -A networked control systems approach," IECON 2012 -38th Annual Conference on IEEE Industrial El

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    approach is not only able to restore frequency and voltage of the MicroGrid but also ensures reactive power such as power electronics converters, distributed generations (DGs), energy storage systems.; , "Distributed secondary control for islanded MicroGrids - A networked control systems approach," IECON 2012 - 38

  9. Consolidated Edison Company of New York, Inc. Smart Grid Demonstration...

    Open Energy Info (EERE)

    The system will include renewable energy generation, grid monitoring, electric vehicle charging stations, transmission automation, and consumer systems that will help...

  10. Identifying emerging smart grid impacts to upstream and midstream natural gas operations.

    SciTech Connect (OSTI)

    McIntyre, Annie

    2010-09-01T23:59:59.000Z

    The Smart Grid has come to describe a next-generation electrical power system that is typified by the increased use of communications and information technology in the generation, delivery and consumption of electrical energy. Much of the present Smart Grid analysis focuses on utility and consumer interaction. i.e. smart appliances, home automation systems, rate structures, consumer demand response, etc. An identified need is to assess the upstream and midstream operations of natural gas as a result of the smart grid. The nature of Smart Grid, including the demand response and role of information, may require changes in upstream and midstream natural gas operations to ensure availability and efficiency. Utility reliance on natural gas will continue and likely increase, given the backup requirements for intermittent renewable energy sources. Efficient generation and delivery of electricity on Smart Grid could affect how natural gas is utilized. Things that we already know about Smart Grid are: (1) The role of information and data integrity is increasingly important. (2) Smart Grid includes a fully distributed system with two-way communication. (3) Smart Grid, a complex network, may change the way energy is supplied, stored, and in demand. (4) Smart Grid has evolved through consumer driven decisions. (5) Smart Grid and the US critical infrastructure will include many intermittent renewables.

  11. Distributed Integrated Scheduling in Automated Manufacturing Systems with Transient Machine Failures

    E-Print Network [OSTI]

    Wedde, Horst F.

    as for a larger variety of products. At the same time better adaptability of transportation planning, electronic negotiations 1. Introduction Distributed Computer Control for Just-in- Time Production and production flows. The Just-in-Time method has not yet been used in computer-controlled manufacturing systems

  12. Pacific Northwest Smart GridPacific Northwest Smart Grid Demonstration ProjectDemonstration Project

    E-Print Network [OSTI]

    customers to choose to control their energy usage ­ Smart meters ­ Home/building/industrial energy controls and displays · Automated home energy use 4 #12;The End-user is the Centerpiece of the Smart Grid 5Pacific Northwest Smart GridPacific Northwest Smart Grid Demonstration ProjectDemonstration Project

  13. Abstract --With the increasing acceptance, micro-grid, combined with distributed generation (DG), may be operated in

    E-Print Network [OSTI]

    Chen, Zhe

    ), may be operated in two modes: grid-connected mode and island mode. In grid connected mode, energy operation point; the coordinate control of voltage and frequency with a feed forward control of the voltage the operation modes. The new droop control method has been validated through simulations by PSCAD software

  14. Topic 2: Introduction to Smart Grid A.H. MohsenianRad (U of T) 1Networking and Distributed Systems

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Consumption Power Infrastructure Communications Infrastructure Twoway Flow of Electricity and Information #12 Department of Electrical & Computer Engineering Texas Tech University Spring 2012 #12;Agenda Dr. Hamed · Smart Grid: Applications / Benefits · Smart Grid in the United States · Government and Industries

  15. Automated Fresnel lens tester system

    SciTech Connect (OSTI)

    Phipps, G.S.

    1981-07-01T23:59:59.000Z

    An automated data collection system controlled by a desktop computer has been developed for testing Fresnel concentrators (lenses) intended for solar energy applications. The system maps the two-dimensional irradiance pattern (image) formed in a plane parallel to the lens, whereas the lens and detector assembly track the sun. A point detector silicon diode (0.5-mm-dia active area) measures the irradiance at each point of an operator-defined rectilinear grid of data positions. Comparison with a second detector measuring solar insolation levels results in solar concentration ratios over the image plane. Summation of image plane energies allows calculation of lens efficiencies for various solar cell sizes. Various graphical plots of concentration ratio data help to visualize energy distribution patterns.

  16. LANL physicists discuss electrical grid in journal article

    E-Print Network [OSTI]

    - 1 - LANL physicists discuss electrical grid in journal article October 17, 2013 Electrical grids of distribution grids. Revolutionary changes to the electric grid will lead to grids that are more random that could make a major impact on the future grid: · probabilistic measures of electrical grid reliability

  17. Applications (Grid Tools)

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Grid Fabric Software Grid Applications Core Grid Middleware User-Level Middleware (Grid Tools) !"# $ %& ' ( ) * #& + '& ' , - . / # ) ) 0 # * 1 PDB CDB Grid Fabric Hardware &+ '' + ) , '1 '1 ' % - * # ( Grid Fabric Software Grid Applications Core Grid Middleware User-Level Middleware (Grid Tools) !"# $ %& ' ( ) * #& + '& ' , - . / # ) ) 0

  18. Building the Distribution Grid

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState and localStudy - PPLBuilding the

  19. Automated Data Collection for Determining Statistical Distributions of Module Power Undergoing Potential-Induced Degradation: Preprint

    SciTech Connect (OSTI)

    Hacke, P.; Spataru, S.

    2014-08-01T23:59:59.000Z

    We propose a method for increasing the frequency of data collection and reducing the time and cost of accelerated lifetime testing of photovoltaic modules undergoing potential-induced degradation (PID). This consists of in-situ measurements of dark current-voltage curves of the modules at elevated stress temperature, their use to determine the maximum power at 25 degrees C standard test conditions (STC), and distribution statistics for determining degradation rates as a function of stress level. The semi-continuous data obtained by this method clearly show degradation curves of the maximum power, including an incubation phase, rates and extent of degradation, precise time to failure, and partial recovery. Stress tests were performed on crystalline silicon modules at 85% relative humidity and 60 degrees C, 72 degrees C, and 85 degrees C. Activation energy for the mean time to failure (1% relative) of 0.85 eV was determined and a mean time to failure of 8,000 h at 25 degrees C and 85% relative humidity is predicted. No clear trend in maximum degradation as a function of stress temperature was observed.

  20. Evaluation of Representative Smart Grid Investment Grant Project Technologies: Thermal Energy Storage

    SciTech Connect (OSTI)

    Tuffner, Francis K.; Bonebrake, Christopher A.

    2012-02-14T23:59:59.000Z

    This document is one of a series of reports estimating the benefits of deploying technologies similar to those implemented on the Smart Grid Investment Grant (SGIG) projects. Four technical reports cover the various types of technologies deployed in the SGIG projects, distribution automation, demand response, energy storage, and renewables integration. A fifth report in the series examines the benefits of deploying these technologies on a national level. This technical report examines the impacts of energy storage technologies deployed in the SGIG projects.

  1. The Evolution of the Internet Community and the "Yet-to-Evolve" Smart Grid Community: Parallels and Lessons-to-be-Learned

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01T23:59:59.000Z

    Smart Grid. The convenience and control proposition that has driven the development of the home automation market

  2. The Impact of Distributed Generation on Power Transmission Grid Dynamics D. E. Newman B. A. Carreras M. Kirchner I. Dobson

    E-Print Network [OSTI]

    Dobson, Ian

    on the robustness of the power transmission grid using a dynamic model of the power transmission system (OPA renewable, power sources, coupled with a drive for decentralization, the fraction of electric power and the engineering responses to failure. In this model, the power demand is increased at a constant rate and is also

  3. Evaluation of Representative Smart Grid Investment Project Technologies: Demand Response

    SciTech Connect (OSTI)

    Fuller, Jason C.; Prakash Kumar, Nirupama; Bonebrake, Christopher A.

    2012-02-14T23:59:59.000Z

    This document is one of a series of reports estimating the benefits of deploying technologies similar to those implemented on the Smart Grid Investment Grant (SGIG) projects. Four technical reports cover the various types of technologies deployed in the SGIG projects, distribution automation, demand response, energy storage, and renewables integration. A fifth report in the series examines the benefits of deploying these technologies on a national level. This technical report examines the impacts of a limited number of demand response technologies and implementations deployed in the SGIG projects.

  4. Grid Integration

    SciTech Connect (OSTI)

    Not Available

    2008-09-01T23:59:59.000Z

    Summarizes the goals and activities of the DOE Solar Energy Technologies Program efforts within its grid integration subprogram.

  5. Smart Grid Integration Laboratory

    SciTech Connect (OSTI)

    Wade Troxell

    2011-09-30T23:59:59.000Z

    The initial federal funding for the Colorado State University Smart Grid Integration Laboratory is through a Congressionally Directed Project (CDP), DE-OE0000070 Smart Grid Integration Laboratory. The original program requested in three one-year increments for staff acquisition, curriculum development, and instrumentation â?? all which will benefit the Laboratory. This report focuses on the initial phase of staff acquisition which was directed and administered by DOE NETL/ West Virginia under Project Officer Tom George. Using this CDP funding, we have developed the leadership and intellectual capacity for the SGIC. This was accomplished by investing (hiring) a core team of Smart Grid Systems engineering faculty focused on education, research, and innovation of a secure and smart grid infrastructure. The Smart Grid Integration Laboratory will be housed with the separately funded Integrid Laboratory as part of CSUâ??s overall Smart Grid Integration Center (SGIC). The period of performance of this grant was 10/1/2009 to 9/30/2011 which included one no cost extension due to time delays in faculty hiring. The Smart Grid Integration Laboratoryâ??s focus is to build foundations to help graduate and undergraduates acquire systems engineering knowledge; conduct innovative research; and team externally with grid smart organizations. Using the results of the separately funded Smart Grid Workforce Education Workshop (May 2009) sponsored by the City of Fort Collins, Northern Colorado Clean Energy Cluster, Colorado State University Continuing Education, Spirae, and Siemens has been used to guide the hiring of faculty, program curriculum and education plan. This project develops faculty leaders with the intellectual capacity to inspire its students to become leaders that substantially contribute to the development and maintenance of Smart Grid infrastructure through topics such as: (1) Distributed energy systems modeling and control; (2) Energy and power conversion; (3) Simulation of electrical power distribution system that integrates significant quantities of renewable and distributed energy resources; (4) System dynamic modeling that considers end-user behavior, economics, security and regulatory frameworks; (5) Best practices for energy management IT control solutions for effective distributed energy integration (including security with the underlying physical power systems); (6) Experimental verification of effects of various arrangements of renewable generation, distributed generation and user load types along with conventional generation and transmission. Understanding the core technologies for enabling them to be used in an integrated fashion within a distribution network remains is a benefit to the future energy paradigm and future and present energy engineers.

  6. Basis for the US Modern Grid Strategy - A Changing World

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Advanced Metering Infrastructure, distributed generation, wind turbine farms, and a few Demand Response programs. Value of the Electricity Grid The electric grid plays an...

  7. Distribution Workshop | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    vehicle charging and electrolyzers Energy storage Building and industrial loads and demand response Smart grid sensing, automation, and microgrids Informed efforts in...

  8. Autonomous, Decentralized Grid Architecture: Prosumer-Based Distributed Autonomous Cyber-Physical Architecture for Ultra-Reliable Green Electricity Networks

    SciTech Connect (OSTI)

    None

    2012-01-11T23:59:59.000Z

    GENI Project: Georgia Tech is developing a decentralized, autonomous, internet-like control architecture and control software system for the electric power grid. Georgia Tech’s new architecture is based on the emerging concept of electricity prosumers—economically motivated actors that can produce, consume, or store electricity. Under Georgia Tech’s architecture, all of the actors in an energy system are empowered to offer associated energy services based on their capabilities. The actors achieve their sustainability, efficiency, reliability, and economic objectives, while contributing to system-wide reliability and efficiency goals. This is in marked contrast to the current one-way, centralized control paradigm.

  9. Grid Security

    E-Print Network [OSTI]

    Sinnott, R.O.

    Sinnott,R.O. National Centre for e-Social Science book, Grid Computing: Technology, Service and Application, CRC Press, November 2008.

  10. Test Automation Ant JUnit Test Automation

    E-Print Network [OSTI]

    Mousavi, Mohammad

    Test Automation Ant JUnit Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2012 Mousavi: Test Automation #12;Test Automation Ant JUnit Outline Test Automation Ant JUnit Mousavi: Test Automation #12;Test Automation Ant JUnit Why? Challenges of Manual Testing

  11. Barriers to Electrification for "Under Grid" Households in Rural Kenya

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    of the unelectrified are “off grid,” or too far away toand small, stand-alone off-grid solutions will be requiredgrowing support for off-grid, distributed energy approaches,

  12. s e c t i o n Building the new grid | white Paper www.generAtinginsights.com

    E-Print Network [OSTI]

    Smart grid means automation of the electric power grid, and automation often means computerization: In the event of a cyber security threat to the electric power system, what is at stake? The first risk is serious disruption to the electric grid, which the North American Electric Reliability Corporation (NERC

  13. Role of Standard Demand Response Signals for Advanced Automated Aggregation

    SciTech Connect (OSTI)

    Lawrence Berkeley National Laboratory; Kiliccote, Sila

    2011-11-18T23:59:59.000Z

    Emerging standards such as OpenADR enable Demand Response (DR) Resources to interact directly with Utilities and Independent System Operators to allow their facility automation equipment to respond to a variety of DR signals ranging from day ahead to real time ancillary services. In addition, there are Aggregators in today’s markets who are capable of bringing together collections of aggregated DR assets and selling them to the grid as a single resource. However, in most cases these aggregated resources are not automated and when they are, they typically use proprietary technologies. There is a need for a framework for dealing with aggregated resources that supports the following requirements: • Allows demand-side resources to participate in multiple DR markets ranging from wholesale ancillary services to retail tariffs without being completely committed to a single entity like an Aggregator; • Allow aggregated groups of demand-side resources to be formed in an ad hoc fashion to address specific grid-side issues and support the optimization of the collective response of an aggregated group along a number of different dimensions. This is important in order to taylor the aggregated performance envelope to the needs to of the grid; • Allow aggregated groups to be formed in a hierarchical fashion so that each group can participate in variety of markets from wholesale ancillary services to distribution level retail tariffs. This paper explores the issues of aggregated groups of DR resources as described above especially within the context of emerging smart grid standards and the role they will play in both the management and interaction of various grid-side entities with those resources.

  14. Automated Demand Response: The Missing Link in the Electricity Value Chain

    E-Print Network [OSTI]

    McKane, Aimee

    2010-01-01T23:59:59.000Z

    and Open Automated Demand Response. In Grid Interop Forum.Berkeley National Laboratory. Demand Response ResearchCenter, Demand Response Research Center PIER Team Briefing,

  15. Semantic-based Grid Resource Discovery and its Integration with the Grid Service Broker

    E-Print Network [OSTI]

    Melbourne, University of

    1 Semantic-based Grid Resource Discovery and its Integration with the Grid Service Broker Thamarai Chromepet, Chennai ­ 600044, India Email : stselvi@annauniv.edu 2 Grid Computing and Distributed Systems :mohanram@cdacb.ernet.in Abstract: This paper addresses the need of semantic component in the grid

  16. NREL Smart Grid Projects

    SciTech Connect (OSTI)

    Hambrick, J.

    2012-01-01T23:59:59.000Z

    Although implementing Smart Grid projects at the distribution level provides many advantages and opportunities for advanced operation and control, a number of significant challenges must be overcome to maintain the high level of safety and reliability that the modern grid must provide. For example, while distributed generation (DG) promises to provide opportunities to increase reliability and efficiency and may provide grid support services such as volt/var control, the presence of DG can impact distribution operation and protection schemes. Additionally, the intermittent nature of many DG energy sources such as photovoltaics (PV) can present a number of challenges to voltage regulation, etc. This presentation provides an overview a number of Smart Grid projects being performed by the National Renewable Energy Laboratory (NREL) along with utility, industry, and academic partners. These projects include modeling and analysis of high penetration PV scenarios (with and without energy storage), development and testing of interconnection and microgrid equipment, as well as the development and implementation of advanced instrumentation and data acquisition used to analyze the impacts of intermittent renewable resources. Additionally, standards development associated with DG interconnection and analysis as well as Smart Grid interoperability will be discussed.

  17. Smart Grid Investments Improve Grid Reliability, Resilience,...

    Office of Environmental Management (EM)

    Investments Improve Grid Reliability, Resilience, and Storm Responses (November 2014) Smart Grid Investments Improve Grid Reliability, Resilience, and Storm Responses (November...

  18. D-STATCOM Control in Distribution Networks with Composite Loads to Ensure Grid Code Compatible Performance of

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    Recently, distributed generation (DG) based on renewable energy sources such as solar, wind etc of New South Wales Canberra, ACT 2600, Australia E-mail: n.roy@student.unsw.edu.au, h.pota@adfa.edu.au M, Australia E-mail: mdapel.mahmud@nicta.com.au M. J. Hossain Griffith School of Engineering Griffith

  19. IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 2, MARCH 2014 861 An Optimal and Distributed Demand Response

    E-Print Network [OSTI]

    Nehorai, Arye

    hour load to off-peak hours. Traditionally it is achieved by setting a time of use (TOU) price scheme and renewable distributed generators. A price scheme considering fluctuation cost is developed. We con- sider at time t. Fluctuation cost coefficient. Base price at time . Fluctuation price at time . Coefficient

  20. A SIP-based Home Automation Platform: an Experimental Study

    E-Print Network [OSTI]

    Boyer, Edmond

    A SIP-based Home Automation Platform: an Experimental Study Benjamin Bertran, Charles Consel INRIA automation applications that consist of heterogeneous, distributed entities. We describe how SIP fulfills the requirements of home automation; we present the resulting architecture of a home automation system; and, we

  1. Sandia Energy - SMART Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocuments Home StationaryFAQs HomeProgramSCADASMART Grid

  2. Customer Engagement in AEP gridSMART Residential Transactive System

    SciTech Connect (OSTI)

    Widergren, Steven E.; Marinovici, Maria C.; Fuller, Jason C.; Subbarao, Krishnappa; Chassin, David P.; Somani, Abhishek

    2014-12-31T23:59:59.000Z

    — In 2013, AEP Ohio (AEP) operated a 5-minute real-time price (RTP) electricity market system on 4 distribution feeders as part of their gridSMART® demonstration project. The RTP households were billed for their electricity usage according to an RTP tariff approved by the Public Utility Commission of Ohio. They were given the incentive that their annual bill would be no greater than if they were on the flat-rate tariff, but they had financial incentives to shift consumption from high price periods to low price periods. Incentives were also available for response under high prices from local events, such as reaching the distribution feeder capacity or a critical peak pricing event. An analysis of this transactive system experiment was completed in early 2014. This paper describes the incentive provided to the customer, the nature of their interaction with the smart thermostat that provided automated response to the transactive signal, and their level of satisfaction with the program.

  3. High-efficiency grid-connected photovoltaic module integrated converter system with high-speed communication interfaces for small-scale distribution power generation

    SciTech Connect (OSTI)

    Choi, Woo-Young; Lai, Jih-Sheng (Jason) [Future Energy Electronics Center, Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA (United States)

    2010-04-15T23:59:59.000Z

    This paper presents a high-efficiency grid-connected photovoltaic (PV) module integrated converter (MIC) system with reduced PV current variation. The proposed PV MIC system consists of a high-efficiency step-up DC-DC converter and a single-phase full-bridge DC-AC inverter. An active-clamping flyback converter with a voltage-doubler rectifier is proposed for the step-up DC-DC converter. The proposed step-up DC-DC converter reduces the switching losses by eliminating the reverse-recovery current of the output rectifying diodes. To reduce the PV current variation introduced by the grid-connected inverter, a PV current variation reduction method is also suggested. The suggested PV current variation reduction method reduces the PV current variation without any additional components. Moreover, for centralized power control of distributed PV MIC systems, a PV power control scheme with both a central control level and a local control level is presented. The central PV power control level controls the whole power production by sending out reference power signals to each individual PV MIC system. The proposed step-up DC-DC converter achieves a high-efficiency of 97.5% at 260 W output power to generate the DC-link voltage of 350 V from the PV voltage of 36.1 V. The PV MIC system including the DC-DC converter and the DC-AC inverter achieves a high-efficiency of 95% with the PV current ripple less than 3% variation of the rated PV current. (author)

  4. FUTURE POWER GRID INITIATIVE GridPACK: Grid Parallel Advanced

    E-Print Network [OSTI]

    FUTURE POWER GRID INITIATIVE GridPACK: Grid Parallel Advanced Computational Kernels OBJECTIVE The U of the power grid will also have to evolve to insure accurate and timely simulations. On the other hand, the software tools available for power grid simulation today are primarily sequential single core programs

  5. automated structure generation: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the state-of-the-art automated grid-based layout and scheduling mechanism in terms of latency and potential pipelinability, but at the cost of some area. Mark Whitney; Nemanja...

  6. automated thrombin generation: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the state-of-the-art automated grid-based layout and scheduling mechanism in terms of latency and potential pipelinability, but at the cost of some area. Mark Whitney; Nemanja...

  7. Automated Demand Response and Commissioning

    SciTech Connect (OSTI)

    Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

    2005-04-01T23:59:59.000Z

    This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

  8. A Post-Occupancy Monitored Evaluation of the Dimmable Lighting, Automated Shading, and Underfloor Air Distribution System in The New York Times Building

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    15 4.1. LightingEvaluation of the Dimmable Lighting, Automated Shading, andcomparison EUI, kBtu/Gsf Lighting Heating Cooling Pumps/C

  9. Modeling Smart Grid using Generalized Stochastic Petri Net

    E-Print Network [OSTI]

    Dey, Amrita; Sanyal, Sugata

    2011-01-01T23:59:59.000Z

    Building smart grid for power system is a major challenge for safe, automated and energy efficient usage of electricity. The full implementation of the smart grid will evolve over time. However, before a new set of infrastructures are invested to build the smart grid, proper modeling and analysis is needed to avoid wastage of resources. Modeling also helps to identify and prioritize appropriate systems parameters. In this paper, an all comprehensive model of smart grid have been proposed using Generalized Stochastic Petri Nets (GSPN). The model is used to analyze the constraints and deliverables of the smart power grid of future.

  10. NATL Grid Map 50-Meter Grid

    E-Print Network [OSTI]

    Slatton, Clint

    NATL-east NATL Grid Map 50-Meter Grid Locations in NATL can be specified by reference to a grid intervals. Each gridline intersection ("grid point") is identified by its two gridlines (e.g., E5). Each 50x50-m block formed by the gridlines is identified by the grid point in its northwest corner (e

  11. Fast Automated Demand Response to Enable the Integration of Renewable

    E-Print Network [OSTI]

    LBNL-5555E Fast Automated Demand Response to Enable the Integration of Renewable Resources David S The work described in this report was coordinated by the Demand Response Research Center and funded ABSTRACT This study examines how fast automated demand response (AutoDR) can help mitigate grid balancing

  12. Approaches To Integrating A HIgh Penertration Of Solar PV and CPV Onto The Electrical Grid

    E-Print Network [OSTI]

    Hill, Steven Craig

    2013-01-01T23:59:59.000Z

    electrical transmission and distribution systems can also destroy these grid system components and cause power outages

  13. Evaluating Machine Learning for Improving Power Grid Reliability Leon Wu leon@cs.columbia.edu

    E-Print Network [OSTI]

    Rudin, Cynthia

    as the electrical grid morphs into the "smart grid" will require innovations in how we assess the state of the grid and intelligent electricity distribution and trans- mission system, i.e., power grid. The smart grid has been (Force, 2010). Without the smart grid, many emerging clean energy technologies such as electric ve

  14. Electric vehicle smart charging and vehicle-to-grid operation, International Journal of Parallel, Emergent and Distributed Systems, vol. 27, no. 3. March 2012.

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Electric vehicle smart charging and vehicle-to-grid operation, International Journal of Parallel operator. Index Terms-- Charge Scheduling, EV, Smart Grid, V2G I. INTRODUCTION One million electric and application to facilitate "smart" charging has been proposed [6], however integration of the mobile component

  15. From the Grid to the Smart Grid, Topologically

    E-Print Network [OSTI]

    Pagani, Giuliano Andrea

    2013-01-01T23:59:59.000Z

    The Smart Grid is not just about the digitalization of the Power Grid. In its more visionary acceptation, it is a model of energy management in which the users are engaged in producing energy as well as consuming it, while having information systems fully aware of the energy demand-response of the network and of dynamically varying prices. A natural question is then: to make the Smart Grid a reality will the Distribution Grid have to be updated? We assume a positive answer to the question and we consider the lower layers of Medium and Low Voltage to be the most affected by the change. In our previous work, we have analyzed samples of the Dutch Distribution Grid in our previous work and we have considered possible evolutions of these using synthetic topologies modeled after studies of complex systems in other technological domains in another previous work. In this paper, we take an extra important further step by defining a methodology for evolving any existing physical Power Grid to a good Smart Grid model th...

  16. Home Network Technologies and Automating Demand Response

    SciTech Connect (OSTI)

    McParland, Charles

    2009-12-01T23:59:59.000Z

    Over the past several years, interest in large-scale control of peak energy demand and total consumption has increased. While motivated by a number of factors, this interest has primarily been spurred on the demand side by the increasing cost of energy and, on the supply side by the limited ability of utilities to build sufficient electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in electricity use through the use of price incentives. DR systems are also be design to shift or curtail energy demand at critical times when the generation, transmission, and distribution systems (i.e. the 'grid') are threatened with instabilities. To be effectively deployed on a large-scale, these proposed DR systems need to be automated. Automation will require robust and efficient data communications infrastructures across geographically dispersed markets. The present availability of widespread Internet connectivity and inexpensive, reliable computing hardware combined with the growing confidence in the capabilities of distributed, application-level communications protocols suggests that now is the time for designing and deploying practical systems. Centralized computer systems that are capable of providing continuous signals to automate customers reduction of power demand, are known as Demand Response Automation Servers (DRAS). The deployment of prototype DRAS systems has already begun - with most initial deployments targeting large commercial and industrial (C & I) customers. An examination of the current overall energy consumption by economic sector shows that the C & I market is responsible for roughly half of all energy consumption in the US. On a per customer basis, large C & I customers clearly have the most to offer - and to gain - by participating in DR programs to reduce peak demand. And, by concentrating on a small number of relatively sophisticated energy consumers, it has been possible to improve the DR 'state of the art' with a manageable commitment of technical resources on both the utility and consumer side. Although numerous C & I DR applications of a DRAS infrastructure are still in either prototype or early production phases, these early attempts at automating DR have been notably successful for both utilities and C & I customers. Several factors have strongly contributed to this success and will be discussed below. These successes have motivated utilities and regulators to look closely at how DR programs can be expanded to encompass the remaining (roughly) half of the state's energy load - the light commercial and, in numerical terms, the more important residential customer market. This survey examines technical issues facing the implementation of automated DR in the residential environment. In particular, we will look at the potential role of home automation networks in implementing wide-scale DR systems that communicate directly to individual residences.

  17. An Architectural Model for a Grid based Workflow Management Platform in Scientific Applications

    E-Print Network [OSTI]

    Costan, Alexandru; Stratan, Corina; Dobre, Ciprian; Leordeanu, Catalin; Cristea, Valentin

    2011-01-01T23:59:59.000Z

    With recent increasing computational and data requirements of scientific applications, the use of large clustered systems as well as distributed resources is inevitable. Although executing large applications in these environments brings increased performance, the automation of the process becomes more and more challenging. While the use of complex workflow management systems has been a viable solution for this automation process in business oriented environments, the open source engines available for scientific applications lack some functionalities or are too difficult to use for non-specialists. In this work we propose an architectural model for a grid based workflow management platform providing features like an intuitive way to describe workflows, efficient data handling mechanisms and flexible fault tolerance support. Our integrated solution introduces a workflow engine component based on ActiveBPEL extended with additional functionalities and a scheduling component providing efficient mapping between ta...

  18. Reinventing Batteries for Grid Storage

    ScienceCinema (OSTI)

    Banerjee, Sanjoy

    2013-05-29T23:59:59.000Z

    The City University of New York's Energy Institute, with the help of ARPA-E funding, is creating safe, low cost, rechargeable, long lifecycle batteries that could be used as modular distributed storage for the electrical grid. The batteries could be used at the building level or the utility level to offer benefits such as capture of renewable energy, peak shaving and microgridding, for a safer, cheaper, and more secure electrical grid.

  19. Reinventing Batteries for Grid Storage

    SciTech Connect (OSTI)

    Banerjee, Sanjoy

    2012-01-01T23:59:59.000Z

    The City University of New York's Energy Institute, with the help of ARPA-E funding, is creating safe, low cost, rechargeable, long lifecycle batteries that could be used as modular distributed storage for the electrical grid. The batteries could be used at the building level or the utility level to offer benefits such as capture of renewable energy, peak shaving and microgridding, for a safer, cheaper, and more secure electrical grid.

  20. 9/10/2002 Internet/Grid Computing -Fall 2002 1 What is Performance for Internet/Grid Computation?

    E-Print Network [OSTI]

    Browne, James C.

    - Fall 2002 7 What is Performance for Internet/Grid Computation? Relative Speed/Cost of Computation is Performance for Internet/Grid Computation? Speed up for distributed parallel execution 1. Parallelizability9/10/2002 Internet/Grid Computing - Fall 2002 1 What is Performance for Internet/Grid Computation

  1. Sandia Energy - Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's SequimReactors ToDecision

  2. Workplace Charging Challenge Partner: UCLA Smart Grid Energy...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    as part of its ongoing research on the topics of Electric Vehicle Integration Automated Demand Response Microgrids, and Distributed and Renewable Integration, and Energy Storage...

  3. Coordinating Automated Vehicles via Communication

    E-Print Network [OSTI]

    Bana, Soheila Vahdati

    2001-01-01T23:59:59.000Z

    1.1 Vehicle Automation . . . . . . . . . . . 1.1.1 Controlareas of technology in vehicle automation and communicationChapter 1 Introduction Vehicle Automation Automation is an

  4. Earth resistivity measurement near substation ground grids

    SciTech Connect (OSTI)

    Lodwig, S.G.; Mateja, S.A. [ComEd, Chicago, IL (United States)

    1996-11-01T23:59:59.000Z

    Proper substation grounding grid design requires good, accurate soil resistivity measurements. This data is essential to model the substation ground grid to design a safe ground grid with a satisfactory ground grid resistance at minimum cost. For substations with several decades of service, there is some concern that a grid may have deteriorated, been damaged during equipment installation or excavation, or that initial soil resistivity measurements were lost or may not have been correctly performed. Ground grid conductors change the substation surface voltage distribution. Any voltage measurements taken at the complete substation will also vary from the tests made without conductors present. During testing, current was injected in the soil by probes placed near the ground grid. The current tends to follow the ground grid conductors since copper is a far better conductor than the soil it is placed in. Resistance readings near grids will be lower than readings in undisturbed soil. Since computer models were unavailable for many years, analyzing the effect of the grid conductors on soil resistivity measurements was very difficult. As a result, soil resistivity measurements made close to substations were of little use to the engineer unless some means of correcting the measured values could be developed. This paper will present results of soil resistivity measurements near a substation ground grid before and after a ground grid has been installed and describes a means of calculating the undisturbed soil model.

  5. Smart Grid Status and Metrics Report Appendices

    SciTech Connect (OSTI)

    Balducci, Patrick J.; Antonopoulos, Chrissi A.; Clements, Samuel L.; Gorrissen, Willy J.; Kirkham, Harold; Ruiz, Kathleen A.; Smith, David L.; Weimar, Mark R.; Gardner, Chris; Varney, Jeff

    2014-07-01T23:59:59.000Z

    A smart grid uses digital power control and communication technology to improve the reliability, security, flexibility, and efficiency of the electric system, from large generation through the delivery systems to electricity consumers and a growing number of distributed generation and storage resources. To convey progress made in achieving the vision of a smart grid, this report uses a set of six characteristics derived from the National Energy Technology Laboratory Modern Grid Strategy. The Smart Grid Status and Metrics Report defines and examines 21 metrics that collectively provide insight into the grid’s capacity to embody these characteristics. This appendix presents papers covering each of the 21 metrics identified in Section 2.1 of the Smart Grid Status and Metrics Report. These metric papers were prepared in advance of the main body of the report and collectively form its informational backbone.

  6. Now Available: Smart Grid Investments Improve Grid Reliability...

    Energy Savers [EERE]

    Smart Grid Investments Improve Grid Reliability, Resilience, and Storm Responses (November 2014) Now Available: Smart Grid Investments Improve Grid Reliability, Resilience, and...

  7. FINAL REPORT - CENTER FOR GRID MODERNIZATION

    SciTech Connect (OSTI)

    Markiewicz, Daniel R

    2008-06-30T23:59:59.000Z

    The objective of the CGM was to develop high-priority grid modernization technologies in advanced sensors, communications, controls and smart systems to enable use of real-time or near real-time information for monitoring, analyzing and managing distribution and transmission grid conditions. The key strategic approach to carry out individual CGM research and development (R&D) projects was through partnerships, primarily with the GridApp™ Consortium utility members.

  8. Data Quality Assurance and Performance Measurement of Data Mining for Preventive Maintenance of Power Grid

    E-Print Network [OSTI]

    Rudin, Cynthia

    Ensuring reliability as the electrical grid morphs into the "smart grid" will require innovations in how we version of NOVA has been deployed for the power grid in New York City, and it is able to eval- uate- able and intelligent electricity distribution and transmission system, i.e., power grid. The smart grid

  9. Brookhaven National Laboratory Smarter Grid Centers

    E-Print Network [OSTI]

    Homes, Christopher C.

    1. Sustainable Chemical Conversion 2. Electric Grid Infrastructure · De-carbonized Generation Distribution Infrastructure - How does Smarter Electric Grid Research, Innovation, Development, Demonstration ­ SGRID3 SGRID3 Goals · Lower the cost of electric power by 5-10% · Improve the quality and reliability

  10. Polish grid infrastructure for science and research

    E-Print Network [OSTI]

    Ryszard Gokieli; Krzysztof Nawrocki; Adam Padee; Dorota Stojda; Karol Wawrzyniak; Wojciech Wislicki

    2007-10-07T23:59:59.000Z

    Structure, functionality, parameters and organization of the computing Grid in Poland is described, mainly from the perspective of high-energy particle physics community, currently its largest consumer and developer. It represents distributed Tier-2 in the worldwide Grid infrastructure. It also provides services and resources for data-intensive applications in other sciences.

  11. Sandia Energy - Transmission Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstituteThree-DimensionalTransmission Grid

  12. Selective compensation of voltage harmonics in grid-connected microgrids

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    1 Selective compensation of voltage harmonics in grid-connected microgrids Mehdi Savaghebia , Juan is proposed for selective compensation of main voltage harmonics in a grid- connected microgrid. The aim level. Keywords Distributed Generator (DG); microgrid; grid-connected; voltage harmonics compensation. 1

  13. Smart Grid Voltage Sag Detection using Instantaneous Features Extraction

    E-Print Network [OSTI]

    Boyer, Edmond

    encountered power quality disturbances. Index Terms--Smart grid, voltage sag detection, power quality (PQ as the generation system is moved nearby the distribution level and this is achieved by using a set of micro grids grids are their availability, reliability, and profitability; in order to fulfill power demand according

  14. Microsoft Word - SMART GRID INVESTMENT GRANT DESCRIPTIONS.doc

    Broader source: Energy.gov (indexed) [DOE]

    equipment; consumer products and appliances; or distributed generation, demand response, or energy storage devices to enable the smart grid functions. ii. Customer Systems...

  15. NREL: Transmission Grid Integration - Grid Simulation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecasting NREL researchersGrid

  16. Smart Grid Enabled EVSE

    SciTech Connect (OSTI)

    None, None

    2014-10-15T23:59:59.000Z

    The combined team of GE Global Research, Federal Express, National Renewable Energy Laboratory, and Consolidated Edison has successfully achieved the established goals contained within the Department of Energy’s Smart Grid Capable Electric Vehicle Supply Equipment funding opportunity. The final program product, shown charging two vehicles in Figure 1, reduces by nearly 50% the total installed system cost of the electric vehicle supply equipment (EVSE) as well as enabling a host of new Smart Grid enabled features. These include bi-directional communications, load control, utility message exchange and transaction management information. Using the new charging system, Utilities or energy service providers will now be able to monitor transportation related electrical loads on their distribution networks, send load control commands or preferences to individual systems, and then see measured responses. Installation owners will be able to authorize usage of the stations, monitor operations, and optimally control their electricity consumption. These features and cost reductions have been developed through a total system design solution.

  17. Smart Grid Consortium, Response of New York State Smart Grid...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Consortium, Response of New York State Smart Grid Addressing Policy and Logistical Challenges Smart Grid Consortium, Response of New York State Smart Grid Addressing Policy and...

  18. Grid Interaction Tech Team, and International Smart Grid Collaboration...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Team, and International Smart Grid Collaboration Grid Interaction Tech Team, and International Smart Grid Collaboration 2012 DOE Hydrogen and Fuel Cells Program and Vehicle...

  19. 2012 Smart Grid Peer Review Presentations - Day 2 Smart Grid...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Smart Grid Panel Discussion 2012 Smart Grid Peer Review Presentations - Day 2 Smart Grid Panel Discussion The Office of Electricity Delivery and Energy Reliability held its...

  20. FUTURE POWER GRID INITIATIVE GridOPTICSTM

    E-Print Network [OSTI]

    of individual software products November 2012 PNNL-SA-90162 Ian Gorton Pacific Northwest National Laboratory (509) 375-3850 ian.gorton@pnnl.gov ABOUT FPGI The Future Power Grid Initiative (FPGI) will deliver next National Laboratory's (PNNL) national electric grid research facility, the FPGI will advance the science

  1. Sandia National Laboratories: SMART Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Efficiency, Grid Integration, Microgrid, Modeling & Analysis, News, Partnership, SMART Grid Vermont-a leader in energy efficiency and deployment of so-called smart-grid...

  2. Sandia National Laboratories: Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Efficiency, Grid Integration, Microgrid, Modeling & Analysis, News, Partnership, SMART Grid Vermont-a leader in energy efficiency and deployment of so-called smart-grid...

  3. Grid Logging: Best Practices Guide

    E-Print Network [OSTI]

    Tierney, Brian L

    2008-01-01T23:59:59.000Z

    Revision date: March 1, 2008 Grid Logging: Best Practicesis to help developers of Grid middleware and applicationlog files that will be useful to Grid administrators, users,

  4. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    Data Injection Attacks on Power Grids”, IEEE Transactionson Smart Grid, vol. 2, no. 2, June [21] O. Kosut, L.Data Attacks on Smart Grid State Estimation: Attack

  5. Smart Grid Overview

    Broader source: Energy.gov (indexed) [DOE]

    Smart Grid Overview Ben Kroposki, PhD, PE Director, Energy Systems IntegraLon NaLonal Renewable Energy Laboratory What is t he S mart Grid? and DER Source: NISTEPRI Architecture...

  6. Fuel rod support grid

    DOE Patents [OSTI]

    Downs, Robert E. (Monroeville, PA); Schwallie, Ambrose L. (Greensburg, PA)

    1985-01-01T23:59:59.000Z

    A grid for the support of nuclear fuel rods arranged in a triangular array. The grid is formed by concentric rings of strap joined by radially arranged web sections.

  7. The soft grid

    E-Print Network [OSTI]

    Kardasis, Ari (Ari David)

    2011-01-01T23:59:59.000Z

    The grid in architecture is a systematic organization of space. The means that architects use to organize space are, almost by definition, rigid and totalizing. The Cartesian grid, which will serve as the antagonist of the ...

  8. Method of grid generation

    DOE Patents [OSTI]

    Barnette, Daniel W. (Veguita, NM)

    2002-01-01T23:59:59.000Z

    The present invention provides a method of grid generation that uses the geometry of the problem space and the governing relations to generate a grid. The method can generate a grid with minimized discretization errors, and with minimal user interaction. The method of the present invention comprises assigning grid cell locations so that, when the governing relations are discretized using the grid, at least some of the discretization errors are substantially zero. Conventional grid generation is driven by the problem space geometry; grid generation according to the present invention is driven by problem space geometry and by governing relations. The present invention accordingly can provide two significant benefits: more efficient and accurate modeling since discretization errors are minimized, and reduced cost grid generation since less human interaction is required.

  9. Security on the US Fusion Grid

    SciTech Connect (OSTI)

    Burruss, Justin R.; Fredian, Tom W.; Thompson, Mary R.

    2005-06-01T23:59:59.000Z

    The National Fusion Collaboratory project is developing and deploying new distributed computing and remote collaboration technologies with the goal of advancing magnetic fusion energy research. This work has led to the development of the US Fusion Grid (FusionGrid), a computational grid composed of collaborative, compute, and data resources from the three large US fusion research facilities and with users both in the US and in Europe. Critical to the development of FusionGrid was the creation and deployment of technologies to ensure security in a heterogeneous environment. These solutions to the problems of authentication, authorization, data transfer, and secure data storage, as well as the lessons learned during the development of these solutions, may be applied outside of FusionGrid and scale to future computing infrastructures such as those for next-generation devices like ITER.

  10. Data security on the national fusion grid

    SciTech Connect (OSTI)

    Burruss, Justine R.; Fredian, Tom W.; Thompson, Mary R.

    2005-06-01T23:59:59.000Z

    The National Fusion Collaboratory project is developing and deploying new distributed computing and remote collaboration technologies with the goal of advancing magnetic fusion energy research. This work has led to the development of the US Fusion Grid (FusionGrid), a computational grid composed of collaborative, compute, and data resources from the three large US fusion research facilities and with users both in the US and in Europe. Critical to the development of FusionGrid was the creation and deployment of technologies to ensure security in a heterogeneous environment. These solutions to the problems of authentication, authorization, data transfer, and secure data storage, as well as the lessons learned during the development of these solutions, may be applied outside of FusionGrid and scale to future computing infrastructures such as those for next-generation devices like ITER.

  11. Developing and Implementing the Foundation for a Renewable Energy-Based "Distribution Generation Micro-grid": A California Energy Commission Public Interest Energy Research Co-Funded Program 

    E-Print Network [OSTI]

    Lilly, P.; Sebold, F. D.; Carpenter, M.; Kitto, W.

    2002-01-01T23:59:59.000Z

    The California Energy Commission has been implementing its Public Interest Energy Research (PIER) and Renewable Energy Programs since early 1998. In the last two years, the demand for renewable distributed generation systems has increased rapidly...

  12. Jeudi 3 octobre 2013 Grid integration of REN

    E-Print Network [OSTI]

    Canet, Léonie

    of Smartgrids Nouredine Hadjsaid, Grenoble INP/ENSE3, laboratoire G2ELAB, CNRS #12;MV/LV 20kV/400V HV/MV 63kV/20 de distribution Opérateur Système Production Transport Distribution SmartGrids Evolution: Value chain and implication SmartGrids value chain Interface des c Interface des c #12;Tools for managing complexity ICT

  13. ECE 5332 Communications and Control in Smart Grid Syllabus Instructor

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Microgrid Architecture o Tackling Intermittency o Stochastic Models and Forecasting o Distributed Storage, distributed storage, vehicle-to-grid systems, wide area measurement, smart grid cyber security, etc. Course Topics: · Basics of Power Systems: o Load and Generation o Power Flow Analysis o Economic Dispatch

  14. Grid Information Security Functional Requirement - Fulfilling Information Security of a Smart Grid System

    E-Print Network [OSTI]

    Ling, Amy Poh Ai; 10.5121/ijgca.2011.2201

    2011-01-01T23:59:59.000Z

    This paper describes the background of smart information infrastructure and the needs for smart grid information security. It introduces the conceptual analysis to the methodology with the application of hermeneutic circle and information security functional requirement identification. Information security for the grid market cover matters includes automation and communications industry that affects the operation of electric power systems and the functioning of the utilities that manage them and its awareness of this information infrastructure has become critical to the reliability of the power system. Community benefits from of cost savings, flexibility and deployment along with the establishment of wireless communications. However, concern revolves around the security protections for easily accessible devices such as the smart meter and the related communications hardware. On the other hand, the changing points between traditional versus smart grid networking trend and the information security importance on...

  15. Multiplex automated genome engineering

    DOE Patents [OSTI]

    Church, George M; Wang, Harris H; Isaacs, Farren J

    2013-10-29T23:59:59.000Z

    The present invention relates to automated methods of introducing multiple nucleic acid sequences into one or more target cells.

  16. Optimal Charging of Electric Vehicles in Smart Grid: Characterization and Valley-Filling Algorithms

    E-Print Network [OSTI]

    Tan, Chee Wei

    Optimal Charging of Electric Vehicles in Smart Grid: Characterization and Valley-Filling Algorithms with different EV battery charging rate constraints, that is distributed across a smart power grid network the power grid. One way to tackle this problem is to adopt a "smart grid" solution, which allows EVs

  17. A Taxonomy of Scientific Workflow Systems for Grid Computing Jia Yu and Rajkumar Buyya*

    E-Print Network [OSTI]

    Melbourne, University of

    on major functions and architectural styles of Grid workflow systems. In Section 3, we map the proposed1 A Taxonomy of Scientific Workflow Systems for Grid Computing Jia Yu and Rajkumar Buyya* Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering

  18. GridPACK Toolkit for Developing Power Grid Simulations on High Performance Computing Platforms

    SciTech Connect (OSTI)

    Palmer, Bruce J.; Perkins, William A.; Glass, Kevin A.; Chen, Yousu; Jin, Shuangshuang; Callahan, Charles D.

    2013-11-30T23:59:59.000Z

    This paper describes the GridPACK™ framework, which is designed to help power grid engineers develop modeling software capable of running on todays high performance computers. The framework contains modules for setting up distributed power grid networks, assigning buses and branches with arbitrary behaviors to the network, creating distributed matrices and vectors, using parallel linear and non-linear solvers to solve algebraic equations, and mapping functionality to create matrices and vectors based on properties of the network. In addition, the framework contains additional functionality to support IO and to manage errors.

  19. Charmaine Toy Automation Engineer,

    E-Print Network [OSTI]

    Horowitz, Roberto

    @me.berkeley.edu Nonstationary Velocity Profiles for Emergency Vehicles on Automated Highways This paper explores the notion and usefulness of nonstationary velocity profiles for high priority emergency vehicle transit on automatedCharmaine Toy Automation Engineer, DiCon Fiberoptics, Inc., Richmond, CA 94804 e-mail: charm

  20. Field Testing of Automated Demand Response for Integration of Renewable

    E-Print Network [OSTI]

    LBNL-5556E Field Testing of Automated Demand Response for Integration of Renewable Resources responsibility for the accuracy, completeness, or usefulness of any information TCP/IP over CDMA CAISO Utility Aggregator NOC Proprietary Comm. EMS GridLink Loads Interval Meter

  1. Joint Genome Institute's Automation Approach and History

    E-Print Network [OSTI]

    Roberts, Simon

    2006-01-01T23:59:59.000Z

    Joint Genome Institute’s Automation Approach and Historythroughput environment; – automation does not necessarilyissues “Islands of Automation” – modular instruments with

  2. 1 Smart Distribution: Coupled Microgrids

    E-Print Network [OSTI]

    R. H. Lasseter

    Abstract-- The distribution system provides major opportunities for smart grid concepts. One way to approach distribution system problems is to rethinking our distribution system to include the integration of high levels of distributed energy resources, using microgrid concepts. Basic objectives

  3. Smart Grid Impact on Intelligent Buildings

    E-Print Network [OSTI]

    Zimmer, R. J.

    2013-01-01T23:59:59.000Z

    ?segmentation?proportions?similar?to?USA) 4,479,963 503,816 16,221 5,000,000 Total?North?America 11,044,912 1,242,110 39,991 12,327,013 89.6% 10.1% 0.3% 100.0% Source:?CABA?s?Smart?Grid?Impact?on? Intelligent?Buildings Definition Demand Response 1 (DR1) ? Existed?for?the?last?15?years...?are?not?necessarily?linked?to? energy?efficiency ? Some?end?users?provide?emergency?DR? e.g.?shorter?notice?and?shorter? intervals,?mostly?automated Source:?CABA?s?Smart?Grid?Impact?on? Intelligent?Buildings Definition Demand Response 2 (DR2) ? DR2?is?more?interactive ? Client...

  4. The CMS integration grid testbed

    SciTech Connect (OSTI)

    Graham, Gregory E.

    2004-08-26T23:59:59.000Z

    The CMS Integration Grid Testbed (IGT) comprises USCMS Tier-1 and Tier-2 hardware at the following sites: the California Institute of Technology, Fermi National Accelerator Laboratory, the University of California at San Diego, and the University of Florida at Gainesville. The IGT runs jobs using the Globus Toolkit with a DAGMan and Condor-G front end. The virtual organization (VO) is managed using VO management scripts from the European Data Grid (EDG). Gridwide monitoring is accomplished using local tools such as Ganglia interfaced into the Globus Metadata Directory Service (MDS) and the agent based Mona Lisa. Domain specific software is packaged and installed using the Distribution After Release (DAR) tool of CMS, while middleware under the auspices of the Virtual Data Toolkit (VDT) is distributed using Pacman. During a continuous two month span in Fall of 2002, over 1 million official CMS GEANT based Monte Carlo events were generated and returned to CERN for analysis while being demonstrated at SC2002. In this paper, we describe the process that led to one of the world's first continuously available, functioning grids.

  5. Method and structure for skewed block-cyclic distribution of lower-dimensional data arrays in higher-dimensional processor grids

    DOE Patents [OSTI]

    Chatterjee, Siddhartha (Yorktown Heights, NY); Gunnels, John A. (Brewster, NY)

    2011-11-08T23:59:59.000Z

    A method and structure of distributing elements of an array of data in a computer memory to a specific processor of a multi-dimensional mesh of parallel processors includes designating a distribution of elements of at least a portion of the array to be executed by specific processors in the multi-dimensional mesh of parallel processors. The pattern of the designating includes a cyclical repetitive pattern of the parallel processor mesh, as modified to have a skew in at least one dimension so that both a row of data in the array and a column of data in the array map to respective contiguous groupings of the processors such that a dimension of the contiguous groupings is greater than one.

  6. Grid regulation services for energy storage devices based on grid frequency

    DOE Patents [OSTI]

    Pratt, Richard M; Hammerstrom, Donald J; Kintner-Meyer, Michael C.W.; Tuffner, Francis K

    2013-07-02T23:59:59.000Z

    Disclosed herein are representative embodiments of methods, apparatus, and systems for charging and discharging an energy storage device connected to an electrical power distribution system. In one exemplary embodiment, a controller monitors electrical characteristics of an electrical power distribution system and provides an output to a bi-directional charger causing the charger to charge or discharge an energy storage device (e.g., a battery in a plug-in hybrid electric vehicle (PHEV)). The controller can help stabilize the electrical power distribution system by increasing the charging rate when there is excess power in the electrical power distribution system (e.g., when the frequency of an AC power grid exceeds an average value), or by discharging power from the energy storage device to stabilize the grid when there is a shortage of power in the electrical power distribution system (e.g., when the frequency of an AC power grid is below an average value).

  7. Grid regulation services for energy storage devices based on grid frequency

    DOE Patents [OSTI]

    Pratt, Richard M; Hammerstrom, Donald J; Kintner-Meyer, Michael C.W.; Tuffner, Francis K

    2014-04-15T23:59:59.000Z

    Disclosed herein are representative embodiments of methods, apparatus, and systems for charging and discharging an energy storage device connected to an electrical power distribution system. In one exemplary embodiment, a controller monitors electrical characteristics of an electrical power distribution system and provides an output to a bi-directional charger causing the charger to charge or discharge an energy storage device (e.g., a battery in a plug-in hybrid electric vehicle (PHEV)). The controller can help stabilize the electrical power distribution system by increasing the charging rate when there is excess power in the electrical power distribution system (e.g., when the frequency of an AC power grid exceeds an average value), or by discharging power from the energy storage device to stabilize the grid when there is a shortage of power in the electrical power distribution system (e.g., when the frequency of an AC power grid is below an average value).

  8. Analysis of High-Penetration Levels of Photovoltaics into the Distribution Grid on Oahu, Hawaii: Detailed Analysis of HECO Feeder WF1

    SciTech Connect (OSTI)

    Stewart, E.; MacPherson, J.; Vasilic, S.; Nakafuji, D.; Aukai, T.

    2013-05-01T23:59:59.000Z

    Renewable generation is growing at a rapid rate due to the incentives available and the aggressive renewable portfolio standard targets implemented by state governments. Distributed generation in particular is seeing the fastest growth among renewable energy projects, and is directly related to the incentives. Hawaii has the highest electricity costs in the country due to the high percentage of oil burning steam generation, and therefore has some of the highest penetration of distributed PV in the nation. The High Penetration PV project on Oahu aims to understand the effects of high penetration PV on the distribution level, to identify penetration levels creating disturbances on the circuit, and to offer mitigating solutions based on model results. Power flow models are validated using data collected from solar resources and load monitors deployed throughout the circuit. Existing interconnection methods and standards are evaluated in these emerging high penetration scenarios. A key finding is a shift in the level of detail to be considered and moving away from steady-state peak time analysis towards dynamic and time varying simulations. Each level of normal interconnection study is evaluated and enhanced to a new level of detail, allowing full understanding of each issue.

  9. An Automation System for Optimizing a Supply Chain Network Design under the Influence of Demand Uncertainty

    E-Print Network [OSTI]

    Polany, Rany

    2012-01-01T23:59:59.000Z

    Automation . . . . . . . . . . . . . . . . . . . . . . iii 3Automation . . . . . . . . . . . . . . . . . . . . . . 5Dashboard/Cockpit Automation . . . . . . . . . . . . .

  10. Grid Transformation Workshop

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3-03-Grid-Transformation-Workshop Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects &...

  11. Exploiting the Computational Grid Lecture 1 Globus and the Grid

    E-Print Network [OSTI]

    Exploiting the Computational Grid Lecture 1 ­ Globus and the Grid · The grid needs middleware to enable things such as logins etc · The toolkit model for the grid is to define a set of standards for the grid and then develop applications on top. The low level stuff is then hidden from the user · Globus

  12. Mapping Unstructured Grids to Structured Grids and Multigrid

    E-Print Network [OSTI]

    Chapter 4 Mapping Unstructured Grids to Structured Grids and Multigrid Many problems based solution is to map the unstructured grid onto a structured grid and then apply multigrid to a sequence). We 65 #12; CHAPTER 4. MAPPING UNSTRUCTURED GRIDS 66 show that unless great care is taken

  13. adaptive distributed control: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Smart Grid holds the promise of providing the autonomous intelligence of distributed generation and storage within the Smart Grid. KEYWORDS | Adaptive stochastic control (ASC...

  14. Automation without predictability is a recipe for failure Raja R. Sambasivan & Gregory R. Ganger

    E-Print Network [OSTI]

    Automation without predictability is a recipe for failure Raja R. Sambasivan & Gregory R. Ganger-3890 Abstract Automated management seems a must, as distributed systems and datacenters continue to grow in scale and complexity. But, automation of performance problem diagnosis and tuning relies upon

  15. 1996 IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 4, DECEMBER 2013 Active Participation of Demand Through a

    E-Print Network [OSTI]

    Dixon, Juan

    in the smart-grid and distributed generation paradigm. Index Terms--Ancillary services, day ahead market

  16. The Impact of Grid on Health Care Digital Repositories

    E-Print Network [OSTI]

    Donno, Flavia; CERN. Geneva. IT Department

    2008-01-01T23:59:59.000Z

    Grid computing has attracted worldwide attention in a variety of applications like Health Care. In this paper we identified the Grid services that could facilitate the integration and interoperation of Health Care data and frameworks world-wide. While many of the current Health Care Grid projects address issues such as data location and description on the Grid and the security aspects, the problems connected to data storage, integrity, preservation and distribution have been neglected. We describe the currently available Grid storage services and protocols that can come in handy when dealing with those problems. We further describe a Grid infrastructure to build a cooperative Health Care environment based on currently available Grid services and a service able to validate it.

  17. Distributed Energy Alternatives to Electrical

    E-Print Network [OSTI]

    Pennycook, Steve

    Distributed Energy Alternatives to Electrical Distribution Grid Expansion in Consolidated Edison.www.gastechnology.org 2 #12;Distributed Energy Alternatives to Electrical Distribution Grid Expansion in Consolidated-Battelle for the Department of Energy Subcontract Number: 4000052360 GTI Project Number: 20441 New York State Energy Research

  18. Automation and security of Supply (Smart Grid Project) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions Inc Jump to:Auriga Energy

  19. The transformation of modern electricity grids at the local and global scale into smart grids is at the core of sustainable economic, environmental and societal growth worldwide. This migration to more intelligent, user-friendly and responsive grids aroun

    E-Print Network [OSTI]

    Fang, Yuguang "Michael"

    , Control and Operation for Smart Grids, Microgrids and Distributed Resources 4. Data Management and Grid with C3 technologies - Communication, Control and Computing - playing key roles. Smart Grid Communications support such applications as control and information processing systems to support two-way energy

  20. Architectures of Test Automation 1 High Volume Test AutomationHigh Volume Test Automation

    E-Print Network [OSTI]

    Architectures of Test Automation 1 High Volume Test AutomationHigh Volume Test Automation Cem Kaner Institute of Technology October 2003 #12;Architectures of Test Automation 2 Acknowledgements developed a course on test automation architecture, and in the Los Altos Workshops on Software Testing

  1. Copyright (c) Cem Kaner, Automated Testing. 1 Software Test Automation:Software Test Automation

    E-Print Network [OSTI]

    Copyright (c) Cem Kaner, Automated Testing. 1 Software Test Automation:Software Test Automation: A RealA Real--World ProblemWorld Problem Cem Kaner, Ph.D., J.D. #12;Copyright (c) Cem Kaner, Automated Testing. 2 This TalkThis Talk The most widely used class of automated testing tools leads senior software

  2. High Volume Test Automation 1 High Volume Test AutomationHigh Volume Test Automation

    E-Print Network [OSTI]

    High Volume Test Automation 1 High Volume Test AutomationHigh Volume Test Automation Keynote Automation 2 AcknowledgementsAcknowledgements · Many of the ideas in this presentation were initially jointly developed with Doug Hoffman,as we developed a course on test automation architecture, and in the Los Altos

  3. Smart Grid: Transforming the Electric System

    SciTech Connect (OSTI)

    Widergren, Steven E.

    2010-04-13T23:59:59.000Z

    This paper introduces smart grid concepts, summarizes the status of current smart grid related efforts, and explains smart grid priorities.

  4. Modern Grid Strategy: Enhanced GridLAB-D Capabilities Final Report

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.; Tuffner, Francis K.; Chen, Yousu

    2009-09-09T23:59:59.000Z

    GridLAB-D is a software simulation environment that was initially developed by the US Department of Energy (DOE) Office of Electricity (OE) for the purpose of enabling the effective analysis of emerging smart grid technologies. In order to achieve this goal GridLAB-D was developed using an open source approach with the intent that numerous people and organizations would contribute to the ongoing development. Because of the breadth and complexity of the emerging smart grid technologies the inclusion of multiple groups of developers is essential in order to address the many aspects of the smart grid. As part of the continuing Modern Grid Strategy (MGS) the Pacific Northwest National Laboratory (PNNL) has been tasked with developing an advanced set of GridLAB-D capabilities. These capabilities were developed to enable the analysis of complex use case studies which will allow for multi-disciplinary analysis of smart grid operations. The advanced capabilities which were developed include the implementation of an unbalanced networked power flow algorithm, the implementation of an integrated transmission and distribution system solver, and a set of use cases demonstrating the capabilities of the new solvers.

  5. Sandia Energy - Smart Grid Tools and Technology

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Smart Grid Tools and Technology Home Stationary Power Grid Modernization Renewable Energy Integration Smart Grid Tools and Technology Smart Grid Tools and TechnologyTara...

  6. An Optimization-Based Framework for Automated Market-Making

    E-Print Network [OSTI]

    Chen, Yiling

    An Optimization-Based Framework for Automated Market-Making Jacob Abernethy EECS Department UC that copies are not made or distributed for profit or commercial advantage and that copies bear this notice

  7. A Verified Hybrid Controller For Automated Vehicles

    E-Print Network [OSTI]

    Lygeros, J.; Godbole, D. N.; Sastry, S.

    1997-01-01T23:59:59.000Z

    con- trollers for vehicle automation," in American ControlTomizuka, Vehicle lateral control for highway automation,"

  8. Sandia Energy - Smart Grid Technologies

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstitute ofSiting and Barrier MitigationSmart

  9. Sandia Energy - Transmission Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstituteThree-Dimensional

  10. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    IEEE Transactions on Smart Grid, vol. 2, no. 2, June [21] O.Malicious Data Attacks on Smart Grid State Estimation:Framework and Roadmap for Smart Grid Interoperability Stan-

  11. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    IEEE Transactions on Smart Grid, vol. 2, no. 2, June [21] O.Malicious Data Attacks on Smart Grid State Estimation:Attack and Detection in Smart Grid,” to appear in IEEE

  12. High Penetration, Grid Connected Photovoltaic Technology Codes and Standards: Preprint

    SciTech Connect (OSTI)

    Basso, T. S.

    2008-05-01T23:59:59.000Z

    This paper reports the interim status in identifying and reviewing photovoltaic (PV) codes and standards (C&S) and related electrical activities for grid-connected, high-penetration PV systems with a focus on U.S. electric utility distribution grid interconnection.

  13. The Grid Economy RAJKUMAR BUYYA, DAVID ABRAMSON, AND SRIKUMAR VENUGOPAL

    E-Print Network [OSTI]

    Abramson, David

    The Grid Economy RAJKUMAR BUYYA, DAVID ABRAMSON, AND SRIKUMAR VENUGOPAL Invited Paper This paper economy as a metaphor for effective management of resources and appli- cation scheduling. It identifies distributed resource management challenges and requirements of economy-based Grid systems, and discusses

  14. Defending against Unidentifiable Attacks in Electric Power Grids

    E-Print Network [OSTI]

    Li, Qun

    Defending against Unidentifiable Attacks in Electric Power Grids Zhengrui Qin, Student Member, IEEE THE electric power grid is a distribution network that connects the electric power generators to customers, Qun Li, Senior Member, IEEE, and Mooi-Choo Chuah, Senior Member, IEEE Abstract--The electric power

  15. Sandia National Laboratories: Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    News, News & Events, Renewable Energy, SMART Grid, Systems Analysis, Transmission Grid Integration, Wind Energy Sandia finalized and submitted the updated "WECC Wind Power Plant...

  16. Sandia National Laboratories: Grid Capabilities

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    InfrastructureEnergy AssuranceGrid Capabilities Grid Capabilities Goal: To develop and implement a comprehensive Sandia program to support the modernization of the U.S. electric...

  17. Large power grid analysis using domain decomposition

    E-Print Network [OSTI]

    Mohanram, Kartik

    -scale linear circuits such as power distribution networks. Simulation results show that by inte- grating the proposed DD framework, existing linear circuit simulators can be extended to handle otherwise intractableLarge power grid analysis using domain decomposition Quming Zhou, Kai Sun, Kartik Mohanram, Danny C

  18. IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 1, JANUARY 2014 303 Opportunistic Routing for Smart Grid With Power

    E-Print Network [OSTI]

    Bahk, Saewoong

    IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 1, JANUARY 2014 303 Opportunistic Routing for Smart communications (PLCs) have recently absorbed interest in the smart grid since they offer communi- cation a bit-meter per second maximization problem and solves it in a distributed manner. Through simulations

  19. IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 4, DECEMBER 2013 2139 Dynamic Energy Management for the Smart Grid

    E-Print Network [OSTI]

    Fu, Yong

    IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 4, DECEMBER 2013 2139 Dynamic Energy Management for the Smart Grid With Distributed Energy Resources Sergio Salinas, Student Member, IEEE, Ming Li, Student- lenges for energy management in the system. In this paper, we in- vestigate optimal energy management

  20. Results of the Grid Friendly Appliance Project

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.

    2010-04-14T23:59:59.000Z

    As part of the Pacific Northwest GridWise™ Testbed Demonstration funded by the U.S. Department of Energy and others, Pacific Northwest National Laboratory (PNNL) collaborated with Whirlpool Corporation, Invensys Controls, the Bonneville Power Administration, PacifiCorp, Portland General Electric and several smaller utilities to install 150 new Sears Kenmore clothes dryers and to retrofit 50 existing electric water heaters in homes in Washington and Oregon. Each dryer and water heater was configured to respond to the Grid Friendly™ appliance controller, a small electronic circuit that sensed underfrequency grid conditions and requested that electric load be shed by the appliances. These controllers and appliances were observed for over a year in residences spread over a wide geographic area. The controllers were found to respond predictably and reliably despite their geographic separation. Over 350 minor underfrequency events were observed during the experiment. This paper presents the distributions of these events by season and by time of day. Based on measured load profiles for the dryers and water heaters, the average electrical load that can be shed by each of the two appliance types was estimated by time of day and by season. Battelle Memorial Institute and PNNL have been assembling a suite of grid-responsive functions and benefits that can be achieved through the control of relatively small, distributed loads and resources on a power grid. These controllers should eventually receive acceptance for the opportunities they offer for circuit protection, regulation services, facilitation of demand responsiveness, and even power quality.

  1. Advancing Smart Grid Interoperability and Implementing NIST's Interoperability Roadmap

    SciTech Connect (OSTI)

    Basso,T.; DeBlasio, R.

    2010-04-01T23:59:59.000Z

    The IEEE American National Standards project P2030TM addressing smart grid interoperability and the IEEE 1547 series of standards addressing distributed resources interconnection with the grid have been identified in priority action plans in the Report to NIST on the Smart Grid Interoperability Standards Roadmap. This paper presents the status of the IEEE P2030 development, the IEEE 1547 series of standards publications and drafts, and provides insight on systems integration and grid infrastructure. The P2030 and 1547 series of standards are sponsored by IEEE Standards Coordinating Committee 21.

  2. Robust and efficient overset grid assembly for partitioned unstructured meshes

    SciTech Connect (OSTI)

    Roget, Beatrice, E-mail: broget@uwyo.edu; Sitaraman, Jayanarayanan, E-mail: jsitaram@uwyo.edu

    2014-03-01T23:59:59.000Z

    This paper presents a method to perform efficient and automated Overset Grid Assembly (OGA) on a system of overlapping unstructured meshes in a parallel computing environment where all meshes are partitioned into multiple mesh-blocks and processed on multiple cores. The main task of the overset grid assembler is to identify, in parallel, among all points in the overlapping mesh system, at which points the flow solution should be computed (field points), interpolated (receptor points), or ignored (hole points). Point containment search or donor search, an algorithm to efficiently determine the cell that contains a given point, is the core procedure necessary for accomplishing this task. Donor search is particularly challenging for partitioned unstructured meshes because of the complex irregular boundaries that are often created during partitioning. Another challenge arises because of the large variation in the type of mesh-block overlap and the resulting large load imbalance on multiple processors. Desirable traits for the grid assembly method are efficiency (requiring only a small fraction of the solver time), robustness (correct identification of all point types), and full automation (no user input required other than the mesh system). Additionally, the method should be scalable, which is an important challenge due to the inherent load imbalance. This paper describes a fully-automated grid assembly method, which can use two different donor search algorithms. One is based on the use of auxiliary grids and Exact Inverse Maps (EIM), and the other is based on the use of Alternating Digital Trees (ADT). The EIM method is demonstrated to be more efficient than the ADT method, while retaining robustness. An adaptive load re-balance algorithm is also designed and implemented, which considerably improves the scalability of the method.

  3. Field Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings in the Pacific Northwest

    SciTech Connect (OSTI)

    Piette, Mary Ann; Kiliccote, Sila; Dudley, Junqiao H.

    2011-11-11T23:59:59.000Z

    There are growing strains on the electric grid as cooling peaks grow and equipment ages. Increased penetration of renewables on the grid is also straining electricity supply systems and the need for flexible demand is growing. This paper summarizes results of a series of field test of automated demand response systems in large buildings in the Pacific Northwest. The objective of the research was two fold. One objective was to evaluate the use demand response automation technologies. A second objective was to evaluate control strategies that could change the electric load shape in both winter and summer conditions. Winter conditions focused on cold winter mornings, a time when the electric grid is often stressed. The summer test evaluated DR strategies in the afternoon. We found that we could automate both winter and summer control strategies with the open automated demand response communication standard. The buildings were able to provide significant demand response in both winter and summer events.

  4. Future Grid: The Environment Future Grid Initiative White Paper

    E-Print Network [OSTI]

    Future Grid: The Environment Future Grid Initiative White Paper Power Systems Engineering Research Center Empowering Minds to Engineer the Future Electric Energy System #12;Future Grid: The Environment Prepared for the Project "The Future Grid to Enable Sustainable Energy Systems" Funded by the U

  5. GridWise Alliance

    Broader source: Energy.gov [DOE]

    Presentation—given at the Spring 2009 Federal Utility Partnership Working Group (FUPWG) meeting—discusses the GRIDWISE ALLIANCE including its mission, today and tomorrow's grid, membership, work groups, and key policy initiatives.

  6. Random array grid collimator

    DOE Patents [OSTI]

    Fenimore, E.E.

    1980-08-22T23:59:59.000Z

    A hexagonally shaped quasi-random no-two-holes touching grid collimator. The quasi-random array grid collimator eliminates contamination from small angle off-axis rays by using a no-two-holes-touching pattern which simultaneously provides for a self-supporting array increasng throughput by elimination of a substrate. The presentation invention also provides maximum throughput using hexagonally shaped holes in a hexagonal lattice pattern for diffraction limited applications. Mosaicking is also disclosed for reducing fabrication effort.

  7. Cyber Security & Smart Grid

    E-Print Network [OSTI]

    Shapiro, J.

    2011-01-01T23:59:59.000Z

    of the impacts of long-term power shortages from the destruction of critical electric infrastructure. ? A Hitachi factory north of Tokyo that makes 60% of the world?s supply of airflow sensors was shut down. This caused General Motors to shut a plant... at The University of Texas at Dallas ? Next Generation Control Systems ? Trustworthy Cyber Infrastructure for the Power Grid ? Active Defense Systems ? System Vulnerability Assessments ? Grid Test Bed ? Integrated Risk Analysis ? Modeling and Simulation...

  8. Cognitive Engineering Automation and Human

    E-Print Network [OSTI]

    Parasuraman, Raja

    · Home automation · Robotics · Unmanned vehicles (UAVs and UGVs) · Drug design/Molecular geneticsCognitive Engineering PSYC 530 Automation and Human Performance Raja Parasuraman #12;Overview Automation-Related Accidents Levels and Stages of Automation Information Acquisition and Analysis Decision

  9. RF test bench automation Description

    E-Print Network [OSTI]

    Dobigeon, Nicolas

    RF test bench automation Description: Callisto would like to implement automated RF test bench. Three RF test benches have to be studied and automated: LNA noise temperature test bench LNA gain phase of the test benches and an implementation of the automation phase. Tasks: Noise temperature

  10. GRIDS: Grid-Scale Rampable Intermittent Dispatchable Storage

    SciTech Connect (OSTI)

    None

    2010-09-01T23:59:59.000Z

    GRIDS Project: The 12 projects that comprise ARPA-E’s GRIDS Project, short for “Grid-Scale Rampable Intermittent Dispatchable Storage,” are developing storage technologies that can store renewable energy for use at any location on the grid at an investment cost less than $100 per kilowatt hour. Flexible, large-scale storage would create a stronger and more robust electric grid by enabling renewables to contribute to reliable power generation.

  11. Reusable Services from the neuGRID Project for Grid-Based Health Applications

    E-Print Network [OSTI]

    Anjum, Ashiq; Habib, Irfan; Lansdale, Tom; McClatchey, Richard; Mehmood, Yasir

    2012-01-01T23:59:59.000Z

    By abstracting Grid middleware specific considerations from clinical research applications, re-usable services should be developed that will provide generic functionality aimed specifically at medical applications. In the scope of the neuGRID project, generic services are being designed and developed which will be applied to satisfy the requirements of neuroscientists. These services will bring together sources of data and computing elements into a single view as far as applications are concerned, making it possible to cope with centralised, distributed or hybrid data and provide native support for common medical file formats. Services will include querying, provenance, portal, anonymization and pipeline services together with a 'glueing' service for connection to Grid services. Thus lower-level services will hide the peculiarities of any specific Grid technology from upper layers, provide application independence and will enable the selection of 'fit-for-purpose' infrastructures. This paper outlines the desi...

  12. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    SciTech Connect (OSTI)

    Thompson, Lisa; Song, Katherine; Lekov, Alex; McKane, Aimee

    2008-11-19T23:59:59.000Z

    Wastewater treatment is an energy intensive process which, together with water treatment, comprises about three percent of U.S. annual energy use. Yet, since wastewater treatment facilities are often peripheral to major electricity-using industries, they are frequently an overlooked area for automated demand response opportunities. Demand response is a set of actions taken to reduce electric loads when contingencies, such as emergencies or congestion, occur that threaten supply-demand balance, and/or market conditions occur that raise electric supply costs. Demand response programs are designed to improve the reliability of the electric grid and to lower the use of electricity during peak times to reduce the total system costs. Open automated demand response is a set of continuous, open communication signals and systems provided over the Internet to allow facilities to automate their demand response activities without the need for manual actions. Automated demand response strategies can be implemented as an enhanced use of upgraded equipment and facility control strategies installed as energy efficiency measures. Conversely, installation of controls to support automated demand response may result in improved energy efficiency through real-time access to operational data. This paper argues that the implementation of energy efficiency opportunities in wastewater treatment facilities creates a base for achieving successful demand reductions. This paper characterizes energy use and the state of demand response readiness in wastewater treatment facilities and outlines automated demand response opportunities.

  13. Sandia Energy - Distributed Energy Resources

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    volatile than ever before, making frequency regulation, voltage regulation, and power balancing operations more strenuous for grid operators. A distributed energy storage unit...

  14. A Virtual Laboratory for Micro-Grid Information and Communication Infrastructures

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    for communication between distributed energy resources, building, substations, etc. To evaluate various ICT and substations; monitoring electricity consumption; adjusting the power consumption of household applications. Within the smart-grid design hierarchy, micro-grids represent localized power grids containing both

  15. An Innovative Solution for Cloud Computing Authentication: Grids of EAP-TLS Smart Cards

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An Innovative Solution for Cloud Computing Authentication: Grids of EAP-TLS Smart Cards Pascal clients. This paper aims to solve this issue by proposing an innovative paradigm based on a grid of smart the scalability of this server linked to smart card grids whose distributed computation manages the concurrence

  16. CARNEGIE MELLON UNIVERSITY Electric Power Micro-grids: Opportunities and Challenges

    E-Print Network [OSTI]

    CARNEGIE MELLON UNIVERSITY Electric Power Micro-grids: Opportunities and Challenges for an Emerging;Electric Power Micro-grids: Barriers and opportunities for an emerging distributed energy architecture ii, such as engines and micro-turbines. #12;Electric Power Micro-grids: Barriers and opportunities for an emerging

  17. Survivable Systems Analysis of the North American Power Grid Communications Infrastructure 1,2

    E-Print Network [OSTI]

    Krings, Axel W.

    Survivable Systems Analysis of the North American Power Grid Communications Infrastructure 1 {patrickm, krings, oman} @cs.uidaho.edu Abstract The modern electric power grid is a complex interconnected infrastructure, ultimately resulting in loss of power grid transmission and/or distribution capabilities

  18. Transdisciplinary electric power grid science Charles D. Brummitta,b,1

    E-Print Network [OSTI]

    D'Souza, Raissa

    storm damage or build distributed generation?). The "smart grid," which monitors and controls electrical to cities couples distant regions. Connections among regions of a power grid spread risk, like in otherOPINION Transdisciplinary electric power grid science Charles D. Brummitta,b,1 , Paul D. H. Hinesc

  19. A Smart Grid Voltage Sag Detector using an EEMD-Based Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Smart Grid Voltage Sag Detector using an EEMD-Based Approach Yassine Amirat, Member, IEEE and Mohamed Benbouzid, Senior Member, IEEE Abstract--Smart grids have become a focal point in renewable energy source researches. Sustainability and viability of distributed grids are highly dependent

  20. A Two-Tier Approach to Grid Workflow Scheduling Dietmar Sommerfeld

    E-Print Network [OSTI]

    Zachmann, Gabriel

    in computational Grids is how to map and schedule workflow tasks onto multiple distributed resources, and how. It performs a just-in-time mapping of tasks to Grid resources and is equivalent to common metaA Two-Tier Approach to Grid Workflow Scheduling Dietmar Sommerfeld Gesellschaft f

  1. Networked Loads in the Distribution Grid

    E-Print Network [OSTI]

    Wang, Zhifang; Li, Xiao; Muthukumar, Vishak; Scaglione, Anna; Peisert, Sean; McParland, Chuck

    2012-01-01T23:59:59.000Z

    is structured according to the SCADA model. Although thea prototypical instance of SCADA network in the distributionservers that are part of a SCADA system, which has grown in

  2. Networked Loads in the Distribution Grid

    E-Print Network [OSTI]

    Wang, Zhifang; Li, Xiao; Muthukumar, Vishak; Scaglione, Anna; Peisert, Sean; McParland, Chuck

    2012-01-01T23:59:59.000Z

    unknown) @2 Enphase Energy Solar Panel web access TESTower PLC BACnet Solar Panel @ Thompson UC Foundation15 (unknown) @13 Solar Panel @ Miller TES Train BCU CCS/BMS

  3. Sandia National Laboratories: Distribution Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Biofuels Biofuels Publications Biochemical Conversion Program Lignocellulosic Biomass Microalgae Thermochemical Conversion Sign up for our E-Newsletter Required.gif?3.21 Email...

  4. NREL: Distributed Grid Integration Home Page

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gifNREL NRELChemicalIndustryIssuePhoto of three men in

  5. Distribution Grid Integration | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E T ADRAFTJanuary 2004 | DepartmentJanuaryVersionSystems

  6. Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

    E-Print Network [OSTI]

    Fan, Zhong; Gormus, Sedat; Efthymiou, Costas; Kalogridis, Georgios; Sooriyabandara, Mahesh; Zhu, Ziming; Lambotharan, Sangarapillai; Chin, Woon Hau

    2011-01-01T23:59:59.000Z

    Optimization of energy consumption in future intelligent energy networks (or Smart Grids) will be based on grid-integrated near-real-time communications between various grid elements in generation, transmission, distribution and loads. This paper discusses some of the challenges and opportunities of communications research in the areas of smart grid and smart metering. In particular, we focus on some of the key communications challenges for realizing interoperable and future-proof smart grid/metering networks, smart grid security and privacy, and how some of the existing networking technologies can be applied to energy management. Finally, we also discuss the coordinated standardization efforts in Europe to harmonize communications standards and protocols.

  7. GridWise Standards Mapping Overview

    SciTech Connect (OSTI)

    Bosquet, Mia L.

    2004-04-01T23:59:59.000Z

    ''GridWise'' is a concept of how advanced communications, information and controls technology can transform the nation's energy system--across the spectrum of large scale, central generation to common consumer appliances and equipment--into a collaborative network, rich in the exchange of decision making information and an abundance of market-based opportunities (Widergren and Bosquet 2003) accompanying the electric transmission and distribution system fully into the information and telecommunication age. This report summarizes a broad review of standards efforts which are related to GridWise--those which could ultimately contribute significantly to advancements toward the GridWise vision, or those which represent today's current technological basis upon which this vision must build.

  8. Development of Building Automation and Control Systems

    E-Print Network [OSTI]

    Yang, Yang; Zhu, Qi; Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

    2012-01-01T23:59:59.000Z

    A design flow for building automation and control systems,’’Development of Building Automation and Control Systems Yangdesign of the build- ing automation system (including the

  9. Demonstration of Automated Heavy-Duty Vehicles

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    a future in which vehicle automation technologies are ableto support the heavy vehicle automation including PrecisionCommittee on Vehicle-Highway Automation, and the attendees

  10. Development of Building Automation and Control Systems

    E-Print Network [OSTI]

    Yang, Yang; Zhu, Qi; Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

    2012-01-01T23:59:59.000Z

    design flow for building automation systems that focuses onflow for building automation and control systems,’’ in Proc.Development of Building Automation and Control Systems Yang

  11. Automated Lattice Perturbation Theory

    SciTech Connect (OSTI)

    Monahan, Christopher

    2014-11-01T23:59:59.000Z

    I review recent developments in automated lattice perturbation theory. Starting with an overview of lattice perturbation theory, I focus on the three automation packages currently "on the market": HiPPy/HPsrc, Pastor and PhySyCAl. I highlight some recent applications of these methods, particularly in B physics. In the final section I briefly discuss the related, but distinct, approach of numerical stochastic perturbation theory.

  12. Automated pavement crack detection

    E-Print Network [OSTI]

    Rao, Ashok Madhava

    1991-01-01T23:59:59.000Z

    : Electrical Engineering AUTOMATED PAVEMENT CRACK DETECTION A Thesis by ASHOK MADHAVA RAO Approved as to style and content by . c Norman C. Grisw d (Chair of Committ ) Nasser Kehtarnavaz (Member) g, J~, Karan Watson Robert L. Lytt (Member) Jo W.... Howze (Head of Department) December 1991 111 ABSTRACT Automated Pavement Crack Detection. (December 1991) Ashok Madhava, Rao, B. E. , Mysore University Chair of Advisory Committee: Norman. C. Griswold Due to load, environmental and structural...

  13. Visual Analytics for Power Grid Contingency Analysis

    SciTech Connect (OSTI)

    Wong, Pak C.; Huang, Zhenyu; Chen, Yousu; Mackey, Patrick S.; Jin, Shuangshuang

    2014-01-20T23:59:59.000Z

    Contingency analysis is the process of employing different measures to model scenarios, analyze them, and then derive the best response to remove the threats. This application paper focuses on a class of contingency analysis problems found in the power grid management system. A power grid is a geographically distributed interconnected transmission network that transmits and delivers electricity from generators to end users. The power grid contingency analysis problem is increasingly important because of both the growing size of the underlying raw data that need to be analyzed and the urgency to deliver working solutions in an aggressive timeframe. Failure to do so may bring significant financial, economic, and security impacts to all parties involved and the society at large. The paper presents a scalable visual analytics pipeline that transforms about 100 million contingency scenarios to a manageable size and form for grid operators to examine different scenarios and come up with preventive or mitigation strategies to address the problems in a predictive and timely manner. Great attention is given to the computational scalability, information scalability, visual scalability, and display scalability issues surrounding the data analytics pipeline. Most of the large-scale computation requirements of our work are conducted on a Cray XMT multi-threaded parallel computer. The paper demonstrates a number of examples using western North American power grid models and data.

  14. Hindawi Publishing Corporation International Journal of Distributed Sensor Networks

    E-Print Network [OSTI]

    Wang, Wenye

    in the Smart Grid: An Empirical Study in Substation Automation Systems Xiang Lu,1, 2 Wenye Wang,2 and Jianfeng. As one of the most important facilities of power infrastructures, electrical substations undertake at authentication and integrity protections in substation automation systems (SAS), by an experimental approach

  15. An Evaluation of the Network Simulators in Large-Scale Distributed Simulations

    SciTech Connect (OSTI)

    Ciraci, Selim; Akyol, Bora A.

    2011-11-13T23:59:59.000Z

    This is a survey paper about the state-of-the-art in large-scale network simulation. Networks for the smart grids are characterized by millions of sensor nodes exchanging information about the status of the grid. This information exchange must be realized reliably and efficiently due to the mission critical nature of the power grid. Hence, the applications and the network protocols developed for the smart grid need go through rigorous testing and analysis before deployment. Developers usually do not have access to such a large-scale network that can be used as a controlled test-bed; therefore, network simulation becomes an essential tool for testing. Network simulation is a well studied problem in the literature and there are various widely used network simulators. These simulators can be adopted for testing applications and protocols of the smart grid. Due to the scale of these networks, parallel/distributed simulations need to be conducted. Even though most network simulators support distributed simulations, generating a large-scale network model to simulate can still be a cumbersome task. In this survey, we describe a selection of commonly used network simulators and evaluate them with respect to the following features that can aid users in distributed simulations of large-scale networks: transparency of setting up distributed simulation, automated topology generation, information hiding, lightweight routing protocols, network error simulation, evaluation of the network model during simulation and trace analysis tools. As a complementary result, we identify two issues with network simulators that can be addressed with runtime steering methods.

  16. Essential Grid Workflow Monitoring Elements

    SciTech Connect (OSTI)

    Gunter, Daniel K.; Jackson, Keith R.; Konerding, David E.; Lee,Jason R.; Tierney, Brian L.

    2005-07-01T23:59:59.000Z

    Troubleshooting Grid workflows is difficult. A typicalworkflow involves a large number of components networks, middleware,hosts, etc. that can fail. Even when monitoring data from all thesecomponents is accessible, it is hard to tell whether failures andanomalies in these components are related toa given workflow. For theGrid to be truly usable, much of this uncertainty must be elim- inated.We propose two new Grid monitoring elements, Grid workflow identifiersand consistent component lifecycle events, that will make Gridtroubleshooting easier, and thus make Grids more usable, by simplifyingthe correlation of Grid monitoring data with a particular Gridworkflow.

  17. General approach to automation of FLASH subsystems

    E-Print Network [OSTI]

    General approach to automation of FLASH subsystems Boguslaw Kosda #12;Agenda Motivation Nature of automation software for high energy experiments. Ultimate role of the automation software: Maximization of lasers availability. Automation of routine activities as startup, shutdown ... Continuous monitoring

  18. Unlocking the smart grid

    SciTech Connect (OSTI)

    Rokach, Joshua Z.

    2010-10-15T23:59:59.000Z

    The country has progressed in a relatively short time from rotary dial phones to computers, cell phones, and iPads. With proper planning and orderly policy implementation, the same will happen with the Smart Grid. Here are some suggestions on how to proceed. (author)

  19. APEC Smart Grid Initiative

    SciTech Connect (OSTI)

    Bloyd, Cary N.

    2012-03-01T23:59:59.000Z

    This brief paper describes the activities of the Asia Pacific Economic Cooperation (APEC) Smart Grid Initiative (ASGI) which is being led by the U.S. and developed by the APEC Energy Working Group. In the paper, I describe the origin of the initiative and briefly mention the four major elements of the initiative along with existing APEC projects which support it.

  20. GROWDERS Demonstration of Grid Connected Electricity Systems...

    Open Energy Info (EERE)

    GROWDERS Demonstration of Grid Connected Electricity Systems (Smart Grid Project) (Spain) Jump to: navigation, search Project Name GROWDERS Demonstration of Grid Connected...

  1. Flexible Transmission in the Smart Grid

    E-Print Network [OSTI]

    Hedman, Kory Walter

    2010-01-01T23:59:59.000Z

    New England Outlook: Smart Grid is About Consumers,” Apr. [Transmission in the Smart Grid By Kory Walter Hedman ATransmission in the Smart Grid by Kory Walter Hedman Doctor

  2. Smart Grid | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Energy Usage Smart Grid Smart Grid October 21, 2014 Line workers get hands-on experience with an electrical pole as part of their training. | Photo courtesy of David Weaver....

  3. Stability of elastic grid shells

    E-Print Network [OSTI]

    Mesnil, Romain, M. Eng. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    The elastic grid shell is a solution that combines double curvature and ease of mounting. This structural system, based on the deformation of an initially at grid without shear stiffness was invented more than fifty years ...

  4. Open Automated Demand Response Communications Specification (Version 1.0)

    SciTech Connect (OSTI)

    Piette, Mary Ann; Ghatikar, Girish; Kiliccote, Sila; Koch, Ed; Hennage, Dan; Palensky, Peter; McParland, Charles

    2009-02-28T23:59:59.000Z

    The development of the Open Automated Demand Response Communications Specification, also known as OpenADR or Open Auto-DR, began in 2002 following the California electricity crisis. The work has been carried out by the Demand Response Research Center (DRRC), which is managed by Lawrence Berkeley National Laboratory. This specification describes an open standards-based communications data model designed to facilitate sending and receiving demand response price and reliability signals from a utility or Independent System Operator to electric customers. OpenADR is one element of the Smart Grid information and communications technologies that are being developed to improve optimization between electric supply and demand. The intention of the open automated demand response communications data model is to provide interoperable signals to building and industrial control systems that are preprogrammed to take action based on a demand response signal, enabling a demand response event to be fully automated, with no manual intervention. The OpenADR specification is a flexible infrastructure to facilitate common information exchange between the utility or Independent System Operator and end-use participants. The concept of an open specification is intended to allow anyone to implement the signaling systems, the automation server or the automation clients.

  5. Automated Fault Location In Smart Distribution Systems 

    E-Print Network [OSTI]

    Lotfifard, Saeed

    2012-10-19T23:59:59.000Z

    ............................................................................................................................ 88 x LIST OF FIGURES Page Figure 1 Multiple possible fault location estimation for a fault at node A ........................ 7 Figure 2 Simple faulted network model [1] © [2011] IEEE ............................................ 40 Figure 3... Types C and D voltage sags for different phases [51] © [2003] IEEE .............. 42 Figure 4 Rf estimation procedure [1] © [2011] IEEE ...................................................... 45 Figure 5 Flow chart of the fault location algorithm [1...

  6. Automated Fault Location In Smart Distribution Systems

    E-Print Network [OSTI]

    Lotfifard, Saeed

    2012-10-19T23:59:59.000Z

    Quality Meters (PQM), are installed to capture harmonics and certain disturbances for analyzing the power quality indices. Digital Protective Relays are utilized to detect occurrence of the faults and isolate faulted section as fast as possible. Digital... Protective Relays) use synchronous methods [28]. Therefore, if the available data is provided by RTUs, fault location methods that operate based on direct comparison of the input samples cannot be 17 utilized. However, if the data could be gathered from...

  7. Automated Systematic Testing of Open Distributed Programs

    E-Print Network [OSTI]

    Sen, Koushik

    to alternate behaviors. At the same time, we use the concrete execution to determine, at runtime, the partial behaviors. At the same time, we use the concrete execution to guide the symbolic execution along a distinct, to explore all distinct behaviors that may result from a program's execution given different data inputs

  8. Automated Systematic Testing of Open Distributed Programs

    E-Print Network [OSTI]

    Sen, Koushik

    . At the same time, we use the concrete execution to determine, at runtime, the partial order of events. At the same time, we use the concrete execution to guide the symbolic execution along a distinct execution behaviors that may result from a program's execution given different data inputs and schedules. The key idea

  9. Distributed Automated Demand Response - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEA : Papers SubfoldersU.S. Refining

  10. Installation and Commissioning Automated Demand Response Systems

    SciTech Connect (OSTI)

    Global Energy Partners; Pacific Gas and Electric Company; Kiliccote, Sila; Kiliccote, Sila; Piette, Mary Ann; Wikler, Greg; Prijyanonda, Joe; Chiu, Albert

    2008-04-21T23:59:59.000Z

    Demand Response (DR) can be defined as actions taken to reduce electric loads when contingencies, such as emergencies and congestion, occur that threaten supply-demand balance, or market conditions raise supply costs. California utilities have offered price and reliability DR based programs to customers to help reduce electric peak demand. The lack of knowledge about the DR programs and how to develop and implement DR control strategies is a barrier to participation in DR programs, as is the lack of automation of DR systems. Most DR activities are manual and require people to first receive notifications, and then act on the information to execute DR strategies. Levels of automation in DR can be defined as follows. Manual Demand Response involves a labor-intensive approach such as manually turning off or changing comfort set points at each equipment switch or controller. Semi-Automated Demand Response involves a pre-programmed demand response strategy initiated by a person via centralized control system. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. The receipt of the external signal initiates pre-programmed demand response strategies. We refer to this as Auto-DR (Piette et. al. 2005). Auto-DR for commercial and industrial facilities can be defined as fully automated DR initiated by a signal from a utility or other appropriate entity and that provides fully-automated connectivity to customer end-use control strategies. One important concept in Auto-DR is that a homeowner or facility manager should be able to 'opt out' or 'override' a DR event if the event comes at time when the reduction in end-use services is not desirable. Therefore, Auto-DR is not handing over total control of the equipment or the facility to the utility but simply allowing the utility to pass on grid related information which then triggers facility defined and programmed strategies if convenient to the facility. From 2003 through 2006 Lawrence Berkeley National Laboratory (LBNL) and the Demand Response Research Center (DRRC) developed and tested a series of demand response automation communications technologies known as Automated Demand Response (Auto-DR). In 2007, LBNL worked with three investor-owned utilities to commercialize and implement Auto-DR programs in their territories. This paper summarizes the history of technology development for Auto-DR, and describes the DR technologies and control strategies utilized at many of the facilities. It outlines early experience in commercializing Auto-DR systems within PG&E DR programs, including the steps to configure the automation technology. The paper also describes the DR sheds derived using three different baseline methodologies. Emphasis is given to the lessons learned from installation and commissioning of Auto-DR systems, with a detailed description of the technical coordination roles and responsibilities, and costs.

  11. ReSS: Resource Selection Service for National and Campus Grid Infrastructure

    SciTech Connect (OSTI)

    Mhashilkar, Parag; Garzoglio, Gabriele; Levshina, Tanya; Timm, Steve; /Fermilab

    2009-05-01T23:59:59.000Z

    The Open Science Grid (OSG) offers access to around hundred Compute elements (CE) and storage elements (SE) via standard Grid interfaces. The Resource Selection Service (ReSS) is a push-based workload management system that is integrated with the OSG information systems and resources. ReSS integrates standard Grid tools such as Condor, as a brokering service and the gLite CEMon, for gathering and publishing resource information in GLUE Schema format. ReSS is used in OSG by Virtual Organizations (VO) such as Dark Energy Survey (DES), DZero and Engagement VO. ReSS is also used as a Resource Selection Service for Campus Grids, such as FermiGrid. VOs use ReSS to automate the resource selection in their workload management system to run jobs over the grid. In the past year, the system has been enhanced to enable publication and selection of storage resources and of any special software or software libraries (like MPI libraries) installed at computing resources. In this paper, we discuss the Resource Selection Service, its typical usage on the two scales of a National Cyber Infrastructure Grid, such as OSG, and of a campus Grid, such as FermiGrid.

  12. Automated gas chromatography

    DOE Patents [OSTI]

    Mowry, Curtis D. (Albuquerque, NM); Blair, Dianna S. (Albuquerque, NM); Rodacy, Philip J. (Albuquerque, NM); Reber, Stephen D. (Corrales, NM)

    1999-01-01T23:59:59.000Z

    An apparatus and process for the continuous, near real-time monitoring of low-level concentrations of organic compounds in a liquid, and, more particularly, a water stream. A small liquid volume of flow from a liquid process stream containing organic compounds is diverted by an automated process to a heated vaporization capillary where the liquid volume is vaporized to a gas that flows to an automated gas chromatograph separation column to chromatographically separate the organic compounds. Organic compounds are detected and the information transmitted to a control system for use in process control. Concentrations of organic compounds less than one part per million are detected in less than one minute.

  13. Cloud Computing for the Grid: GridControl: A Software Platform to Support the Smart Grid

    SciTech Connect (OSTI)

    None

    2012-02-08T23:59:59.000Z

    GENI Project: Cornell University is creating a new software platform for grid operators called GridControl that will utilize cloud computing to more efficiently control the grid. In a cloud computing system, there are minimal hardware and software demands on users. The user can tap into a network of computers that is housed elsewhere (the cloud) and the network runs computer applications for the user. The user only needs interface software to access all of the cloud’s data resources, which can be as simple as a web browser. Cloud computing can reduce costs, facilitate innovation through sharing, empower users, and improve the overall reliability of a dispersed system. Cornell’s GridControl will focus on 4 elements: delivering the state of the grid to users quickly and reliably; building networked, scalable grid-control software; tailoring services to emerging smart grid uses; and simulating smart grid behavior under various conditions.

  14. Management of a Smart Grid with Controlled-Delivery of Discrete Power Levels

    E-Print Network [OSTI]

    Rojas-Cessa, Roberto

    Management of a Smart Grid with Controlled-Delivery of Discrete Power Levels Roberto Rojas an architecture of the controlled-delivery power grid and analyze a management scheme for the distribution properties for the distribution of electrical power: perpetually energized and with discretionary access

  15. Principal Characteristics of a Modern Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Electricity Initiative GridWise Alliance GridWise Architecture Council European SmartGrid Technology Platform 19 MODERN GRID S T R A T E G Y Questions? Office of Electricity...

  16. GridMat: Matlab Toolbox for GridLAB-D to Analyse Grid Impact and Validate Residential Microgrid Level

    E-Print Network [OSTI]

    Al Faruque, Mohammad Abdullah

    GridMat: Matlab Toolbox for GridLAB-D to Analyse Grid Impact and Validate Residential Microgrid, in this paper, we present a new Matlab toolbox (GridMat) to integrate the capabilities of domain-specific modeling & simulation tools from power system (GridLAB-D) and control (Matlab). The GridMat tool supports

  17. Grid Transfer Remark 4.1 Contents of this chapter. Consider a grid with grid size h and the

    E-Print Network [OSTI]

    John, Volker

    Chapter 4 Grid Transfer Remark 4.1 Contents of this chapter. Consider a grid with grid size h that there might be an iterative method for solving this system efficiently, which uses also coarser grids way between the grids. 2 4.1 The Coarse Grid System and the Residual Equa- tion Remark 4.2 Basic idea

  18. Sandia Energy - SMART Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley RuehlReportPeter H.Rohit Prasankumar

  19. Heat transfer near spacer grids in rod bundles

    SciTech Connect (OSTI)

    Yoder, G.L.

    1985-01-01T23:59:59.000Z

    Heat transfer data from several sources have been assembled which show the effect of spacer grids on local heat transfer within a rod bundle. Both single phase (air and steam) data and two phase (steam/water) data show heat transfer augmentation in the grid region. Heat transfer improvement immediately beyond the grid ranges from a few percent to over fifty percent in these experiments, depending on flow conditions. The data are examined using several nondimensional parameters which relate the above effects to known quantities. The relative effect of the grid on local heat transfer is altered by both the Reynolds number and blockage ratio. Twenty to thirty hydraulic diameters are required before the local effect of the grid dissipates. Locally, both the single phase and two phase data show the same trends. Comparison of the single and two phase data also shown some differences. Some film boiling data indicate that an altered heat transfer regime may exist near the grid. High rod heat transfer coefficients at the grid locations indicate either a rewet of the rods or at least a change from film boiling to transition boiling near the spacer. The comparison also indicates that the film boiling data is affected on a global as well as local basis. This is due to the effect of the grid on the liquid distribution.

  20. Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response

    E-Print Network [OSTI]

    Kiliccote, Sila

    2011-01-01T23:59:59.000Z

    Protocol for Building Automation and Control  Networks.  Protocol for Building Automation and Control  Networks, Demand Response Automation Server  Demand Response Research 

  1. Massive Science with VO and Grids

    E-Print Network [OSTI]

    Robert Nichol; Garry Smith; Christopher Miller; Peter Freeman; Chris Genovese; Larry Wasserman; Brent Bryan; Alexander Gray; Jeff Schneider; Andrew Moore

    2005-10-31T23:59:59.000Z

    There is a growing need for massive computational resources for the analysis of new astronomical datasets. To tackle this problem, we present here our first steps towards marrying two new and emerging technologies; the Virtual Observatory (e.g, AstroGrid) and the computational grid (e.g. TeraGrid, COSMOS etc.). We discuss the construction of VOTechBroker, which is a modular software tool designed to abstract the tasks of submission and management of a large number of computational jobs to a distributed computer system. The broker will also interact with the AstroGrid workflow and MySpace environments. We discuss our planned usages of the VOTechBroker in computing a huge number of n-point correlation functions from the SDSS data and massive model-fitting of millions of CMBfast models to WMAP data. We also discuss other applications including the determination of the XMM Cluster Survey selection function and the construction of new WMAP maps.

  2. Lattice QCD Thermodynamics on the Grid

    E-Print Network [OSTI]

    Jakub T. Mo?cicki; Maciej Wo?; Massimo Lamanna; Philippe de Forcrand; Owe Philipsen

    2009-11-30T23:59:59.000Z

    We describe how we have used simultaneously ${\\cal O}(10^3)$ nodes of the EGEE Grid, accumulating ca. 300 CPU-years in 2-3 months, to determine an important property of Quantum Chromodynamics. We explain how Grid resources were exploited efficiently and with ease, using user-level overlay based on Ganga and DIANE tools above standard Grid software stack. Application-specific scheduling and resource selection based on simple but powerful heuristics allowed to improve efficiency of the processing to obtain desired scientific results by a specified deadline. This is also a demonstration of combined use of supercomputers, to calculate the initial state of the QCD system, and Grids, to perform the subsequent massively distributed simulations. The QCD simulation was performed on a $16^3\\times 4$ lattice. Keeping the strange quark mass at its physical value, we reduced the masses of the up and down quarks until, under an increase of temperature, the system underwent a second-order phase transition to a quark-gluon plasma. Then we measured the response of this system to an increase in the quark density. We find that the transition is smoothened rather than sharpened. If confirmed on a finer lattice, this finding makes it unlikely for ongoing experimental searches to find a QCD critical point at small chemical potential.

  3. Office Automation Document Preparation

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    .2 Distinctions 1.3 Facilities 1.3.1 Document Preparation 1.3.2 Records Management 1.3.3 Communication 1 organizations contemplating the installation of document-preparation systems. * Administrative managersOffice Automation and Document Preparation for the v' University of North Carolina at Chapel Hill

  4. Automated Microbial Genome Annotation

    SciTech Connect (OSTI)

    Land, Miriam [DOE Joint Genome Institute at Oak Ridge National Laboratory

    2009-05-29T23:59:59.000Z

    Miriam Land of the DOE Joint Genome Institute at Oak Ridge National Laboratory gives a talk on the current state and future challenges of moving toward automated microbial genome annotation at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM

  5. Sandia National Laboratories: PNM Distributed Energy Solar Power...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    PNM Distributed Energy Solar Power Program Mesa del Sol Project Is Finalist for International Smart Grid Action Network 2014 Award of Excellence On July 31, 2014, in Distribution...

  6. automated serum chemistry: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Summary: Test Automation Test Automation Mohammad Mousavi Eindhoven University of Technology, The Netherlands Software Testing 2013 Mousavi: Test Automation 12;Test Automation...

  7. Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model

    E-Print Network [OSTI]

    Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

    2003-01-01T23:59:59.000Z

    Pharmingen Distributed Energy Resources in Practice Tablemany regions. Distributed Energy Resources in Practice 10.of µGrid Distributed Energy Resource Potential Using DER-CAM

  8. Data Management in the GridRPC GridRPC Data Management API

    E-Print Network [OSTI]

    Caniou, Yves

    Data Management in the GridRPC Issues Conclusion GridRPC Data Management API Implementations, Le Mahec, Nakada GridRPC DM API: Implem. and Interop. Issues (1/13) #12;Data Management in the GridRPC Issues Conclusion Goal GridRPC DM types: Reminder 1 Data Management in the GridRPC Goal GridRPC DM types

  9. JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007 1 Service-Orientation and the Smart Grid

    E-Print Network [OSTI]

    Aiello, Marco

    JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007 1 Service-Orientation and the Smart Grid and the advantages brought by Service-Oriented Architectures. Index Terms--Smart Grid, Electricity Distribution is receiving growing attention, that is the concepts falling under the name of the Smart Grid. The challenges

  10. 3360 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 12, NO. 7, JULY 2013 Wireless Mesh Network in Smart Grid: Modeling

    E-Print Network [OSTI]

    Wang, Wenye

    in Smart Grid: Modeling and Analysis for Time Critical Communications Yi Xu, Member, IEEE, and Wenye Wang, Senior Member, IEEE Abstract--Communication networks are an indispensable com- ponent in the smart grid that are located distributively in the grid. In particular, wireless networks will be deployed widely in the smart

  11. Secure Interoperable Open Smart Grid Demonstration Project

    SciTech Connect (OSTI)

    Magee, Thoman

    2014-12-31T23:59:59.000Z

    The Consolidated Edison, Inc., of New York (Con Edison) Secure Interoperable Open Smart Grid Demonstration Project (SGDP), sponsored by the United States (US) Department of Energy (DOE), demonstrated that the reliability, efficiency, and flexibility of the grid can be improved through a combination of enhanced monitoring and control capabilities using systems and resources that interoperate within a secure services framework. The project demonstrated the capability to shift, balance, and reduce load where and when needed in response to system contingencies or emergencies by leveraging controllable field assets. The range of field assets includes curtailable customer loads, distributed generation (DG), battery storage, electric vehicle (EV) charging stations, building management systems (BMS), home area networks (HANs), high-voltage monitoring, and advanced metering infrastructure (AMI). The SGDP enables the seamless integration and control of these field assets through a common, cyber-secure, interoperable control platform, which integrates a number of existing legacy control and data systems, as well as new smart grid (SG) systems and applications. By integrating advanced technologies for monitoring and control, the SGDP helps target and reduce peak load growth, improves the reliability and efficiency of Con Edison’s grid, and increases the ability to accommodate the growing use of distributed resources. Con Edison is dedicated to lowering costs, improving reliability and customer service, and reducing its impact on the environment for its customers. These objectives also align with the policy objectives of New York State as a whole. To help meet these objectives, Con Edison’s long-term vision for the distribution grid relies on the successful integration and control of a growing penetration of distributed resources, including demand response (DR) resources, battery storage units, and DG. For example, Con Edison is expecting significant long-term growth of DG. The SGDP enables the efficient, flexible integration of these disparate resources and lays the architectural foundations for future scalability. Con Edison assembled an SGDP team of more than 16 different project partners, including technology vendors, and participating organizations, and the Con Edison team provided overall guidance and project management. Project team members are listed in Table 1-1.

  12. The Automated Palomar 60-Inch Telescope

    E-Print Network [OSTI]

    Cenko, S B; Moon, D S; Harrison, F A; Kulkarni, S R; Henning, J R; Guzman, C D; Bonati, M; Smith, R M; Thicksten, R P; Doyle, M W; Petrie, H L; Gal-Yam, A; Soderberg, A M; Anagnostou, N L; Laity, A C; Fox, Derek B.; Moon, Dae-Sik; Harrison, Fiona A.; Henning, John R.; Bonati, Marco; Smith, Roger M.; Thicksten, Robert P.; Doyle, Michael W.; Petrie, Hal L.; Gal-Yam, Avishay; Soderberg, Alicia M.; Anagnostou, Nathaniel L.; Laity, Anastasia C.

    2006-01-01T23:59:59.000Z

    We have converted the Palomar 60-inch telescope (P60) from a classical night assistant-operated telescope to a fully robotic facility. The automated system, which has been operational since September 2004, is designed for moderately fast (t <~ 3 minutes) and sustained (R <~ 23 mag) observations of gamma-ray burst afterglows and other transient events. Routine queue-scheduled observations can be interrupted in response to electronic notification of transient events. An automated pipeline reduces data in real-time, which is then stored on a searchable web-based archive for ease of distribution. We describe here the design requirements, hardware and software upgrades, and lessons learned from roboticization. We present an overview of the current system performance as well as plans for future upgrades.

  13. The Automated Palomar 60-Inch Telescope

    E-Print Network [OSTI]

    S. Bradley Cenko; Derek B. Fox; Dae-Sik Moon; Fiona A. Harrison; S. R. Kulkarni; John R. Henning; C. Dani Guzman; Marco Bonati; Roger M. Smith; Robert P. Thicksten; Michael W. Doyle; Hal L. Petrie; Avishay Gal-Yam; Alicia M. Soderberg; Nathaniel L. Anagnostou; Anastasia C. Laity

    2006-08-15T23:59:59.000Z

    We have converted the Palomar 60-inch telescope (P60) from a classical night assistant-operated telescope to a fully robotic facility. The automated system, which has been operational since September 2004, is designed for moderately fast (t <~ 3 minutes) and sustained (R <~ 23 mag) observations of gamma-ray burst afterglows and other transient events. Routine queue-scheduled observations can be interrupted in response to electronic notification of transient events. An automated pipeline reduces data in real-time, which is then stored on a searchable web-based archive for ease of distribution. We describe here the design requirements, hardware and software upgrades, and lessons learned from roboticization. We present an overview of the current system performance as well as plans for future upgrades.

  14. Grid Interaction Tech Team, and International Smart Grid Collaboration

    Broader source: Energy.gov (indexed) [DOE]

    Provider BAHNHOF POTSDAMER PLATZ Home Area Network (HAN) Grid Operations Coal Natural Gas Nuclear Hydro Renewable Fuel Oil Misc Generation Energy Service Interface (ESI)...

  15. Sandia Energy - Grid Modernization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press ReleasesInAppliedEnergyGeothermal HomeGrid

  16. Sandia Energy - Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatingsUltra-High-Voltage SiliconEnergyFailureGlobal ClimateGrid

  17. Grid-based Production

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental AssessmentsGeoffrey(SC)Graphite ReactorGregGrid-Connected

  18. Sharing Smart Grid Experiences

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting the StageCanon! Shared Solar:Sharing

  19. Sandia Energy - Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPower SystemsCarbon CaptureBiofuels

  20. Sandia Energy - Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPower SystemsCarbon

  1. Sandia Energy - Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPower SystemsCarbonEnergy Sandia

  2. Sandia Energy - SMART Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley RuehlReportPeter H.Rohit Prasankumar HomeEnergy

  3. GridPV

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heaton Armed Services U.S.GregoryGrid6733

  4. GridPV

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heaton Armed Services U.S.GregoryGrid6733141

  5. NERSC Grid Certificates

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVA Portal: Submit2014 NERSCFranklinGrid

  6. The Application Hosting Environment: Lightweight Middleware for Grid-Based Computational Science

    E-Print Network [OSTI]

    P. V. Coveney; R. S. Saksena; S. J. Zasada; M. McKeown; S. Pickles

    2006-11-27T23:59:59.000Z

    Grid computing is distributed computing performed transparently across multiple administrative domains. Grid middleware, which is meant to enable access to grid resources, is currently widely seen as being too heavyweight and, in consequence, unwieldy for general scientific use. Its heavyweight nature, especially on the client-side, has severely restricted the uptake of grid technology by computational scientists. In this paper, we describe the Application Hosting Environment (AHE) which we have developed to address some of these problems. The AHE is a lightweight, easily deployable environment designed to allow the scientist to quickly and easily run legacy applications on distributed grid resources. It provides a higher level abstraction of a grid than is offered by existing grid middleware schemes such as the Globus Toolkit. As a result the computational scientist does not need to know the details of any particular underlying grid middleware and is isolated from any changes to it on the distributed resources. The functionality provided by the AHE is `application-centric': applications are exposed as web services with a well-defined standards-compliant interface. This allows the computational scientist to start and manage application instances on a grid in a transparent manner, thus greatly simplifying the user experience. We describe how a range of computational science codes have been hosted within the AHE and how the design of the AHE allows us to implement complex workflows for deployment on grid infrastructure.

  7. Secure Compressed Reading in Smart Grids

    E-Print Network [OSTI]

    Cai, Sheng; Chen, Minghua; Yan, Jianxin; Jaggi, Sidharth

    2012-01-01T23:59:59.000Z

    Smart Grids measure energy usage in real-time and tailor supply and delivery accordingly, in order to improve power transmission and distribution. For the grids to operate effectively, it is critical to collect readings from massively-installed smart meters to control centers in an efficient and secure manner. In this paper, we propose a secure compressed reading scheme to address this critical issue. We observe that our collected real-world meter data express strong temporal correlations, indicating they are sparse in certain domains. We adopt Compressed Sensing technique to exploit this sparsity and design an efficient meter data transmission scheme. Our scheme achieves substantial efficiency offered by compressed sensing, without the need to know beforehand in which domain the meter data are sparse. This is in contrast to traditional compressed-sensing based scheme where such sparse-domain information is required a priori. We then design specific dependable scheme to work with our compressed sensing based ...

  8. Automated gas chromatography

    DOE Patents [OSTI]

    Mowry, C.D.; Blair, D.S.; Rodacy, P.J.; Reber, S.D.

    1999-07-13T23:59:59.000Z

    An apparatus and process for the continuous, near real-time monitoring of low-level concentrations of organic compounds in a liquid, and, more particularly, a water stream. A small liquid volume of flow from a liquid process stream containing organic compounds is diverted by an automated process to a heated vaporization capillary where the liquid volume is vaporized to a gas that flows to an automated gas chromatograph separation column to chromatographically separate the organic compounds. Organic compounds are detected and the information transmitted to a control system for use in process control. Concentrations of organic compounds less than one part per million are detected in less than one minute. 7 figs.

  9. Theorie des langages Automates `a pile

    E-Print Network [OSTI]

    Bonzon, Elise

    Th´eorie des langages Automates `a pile Elise Bonzon http://web.mi.parisdescartes.fr/ bonzon/ elise.bonzon@parisdescartes.fr 1 / 62 Th´eorie des langages #12;Automates `a pile Automates `a pile Introduction Rappels sur les piles Automates `a pile : d´efinition Automates `a pile : configurations Les crit`eres d

  10. Methodology for Prototyping Increased Levels of Automation

    E-Print Network [OSTI]

    Valasek, John

    of automation than previous NASA vehicles, due to program requirements for automation, including Automated Ren into a human space flight vehicle, NASA has created the Function-specific Level of Autonomy and Automation Tool levels of automation than previous NASA vehicles. A key technology to the success of the CEV

  11. Grid Integration of Robotic Telescopes

    E-Print Network [OSTI]

    F. Breitling; T. Granzer; H. Enke

    2009-03-23T23:59:59.000Z

    Robotic telescopes and grid technology have made significant progress in recent years. Both innovations offer important advantages over conventional technologies, particularly in combination with one another. Here, we introduce robotic telescopes used by the Astrophysical Institute Potsdam as ideal instruments for building a robotic telescope network. We also discuss the grid architecture and protocols facilitating the network integration that is being developed by the German AstroGrid-D project. Finally, we present three user interfaces employed for this purpose.

  12. Sandia National Laboratories: European Distributed Energies Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SMART Grid, Solar Sandia National Laboratories, the Electric Power Research Institute (EPRI) and European Distributed Energies Research Laboratories (DERlab) have organized a...

  13. Sandia National Laboratories: renewable energy and distributed...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SMART Grid, Solar Sandia National Laboratories, the Electric Power Research Institute (EPRI) and European Distributed Energies Research Laboratories (DERlab) have organized a...

  14. Automated Job Hazards Analysis

    Broader source: Energy.gov [DOE]

    AJHA Program - The Automated Job Hazard Analysis (AJHA) computer program is part of an enhanced work planning process employed at the Department of Energy's Hanford worksite. The AJHA system is routinely used to performed evaluations for medium and high risk work, and in the development of corrective maintenance work packages at the site. The tool is designed to ensure that workers are fully involved in identifying the hazards, requirements, and controls associated with tasks.

  15. LED Lighting Off the Grid

    Energy Savers [EERE]

    D. & Kammen, D. M. Decentralized energy systems for clean electricity access. Nature Climate Change accepted, in press, (2015). Off-Grid Status Quo : Fuel Based Lighting...

  16. 2014 Modern Power Grid Video

    SciTech Connect (OSTI)

    None

    2014-06-02T23:59:59.000Z

    A video from NETL that describes the details of a modern power grid and how it can help our nation save on energy costs.

  17. Smart Grid | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Researchers from Argonne National Laboratory modeled several scenarios to add more solar power to the electric grid, using real-world data from the southwestern power...

  18. Buildings to Grid Integration & Interoperability

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Buildings to Grid Integration & Interoperability Joe Hagerman, Senior Advisor DOE Building Technologies Office March 11, 2013 EERE: Office of Energy Efficiency and Renewable Energy...

  19. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    Against Data Injection Attacks on Power Grids”, IEEER. Thomas, and L. Tong, “Malicious Data Attacks on SmartState Estimation: Attack Strategies and Countermeasures,”

  20. National Grid Energy Efficiency Plans

    Broader source: Energy.gov [DOE]

    Presentation covers the National Grid Energy Efficiency plans and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.

  1. Sandia National Laboratories: Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia-Electric Power Research Institute Partnership Publishes Photovoltaic Reliability Report On January 21, 2014, in Energy, Facilities, Grid Integration, Modeling & Analysis,...

  2. National Grid Energy Efficiency Programs

    Broader source: Energy.gov [DOE]

    Presentation covers the National Grid Energy Efficiency programs and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.

  3. Environmental Impacts of Smart Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    a substantial number of pollutants. This paper focuses on the particulate and gaseous emission pollutants that are byproducts of electricity generation, and on how the Smart Grid...

  4. Sandia Energy - Smart Grid Technologies

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    reliability, efficiency, flexibility, and cost effectiveness. Smart-grid features include demand-response capabilities, advanced controls, DER integration, increased situational...

  5. 2014 Modern Power Grid Video

    ScienceCinema (OSTI)

    None

    2014-07-22T23:59:59.000Z

    A video from NETL that describes the details of a modern power grid and how it can help our nation save on energy costs.

  6. Smart-Grid Security Issues

    SciTech Connect (OSTI)

    Khurana, Himanshu; Hadley, Mark D.; Lu, Ning; Frincke, Deborah A.

    2010-01-29T23:59:59.000Z

    TITLE: Smart-Grid Security Issues (Editorial Material, English) IEEE SECURITY & PRIVACY 8 (1). JAN-FEB 2010. p.81-85 IEEE COMPUTER SOC, LOS ALAMITOS

  7. GRID-BASED EXPLORATION OF COSMOLOGICAL PARAMETER SPACE WITH SNAKE

    SciTech Connect (OSTI)

    Mikkelsen, K.; Næss, S. K.; Eriksen, H. K., E-mail: kristin.mikkelsen@astro.uio.no [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029, Blindern, NO-0315 Oslo (Norway)

    2013-11-10T23:59:59.000Z

    We present a fully parallelized grid-based parameter estimation algorithm for investigating multidimensional likelihoods called Snake, and apply it to cosmological parameter estimation. The basic idea is to map out the likelihood grid-cell by grid-cell according to decreasing likelihood, and stop when a certain threshold has been reached. This approach improves vastly on the 'curse of dimensionality' problem plaguing standard grid-based parameter estimation simply by disregarding grid cells with negligible likelihood. The main advantages of this method compared to standard Metropolis-Hastings Markov Chain Monte Carlo methods include (1) trivial extraction of arbitrary conditional distributions; (2) direct access to Bayesian evidences; (3) better sampling of the tails of the distribution; and (4) nearly perfect parallelization scaling. The main disadvantage is, as in the case of brute-force grid-based evaluation, a dependency on the number of parameters, N{sub par}. One of the main goals of the present paper is to determine how large N{sub par} can be, while still maintaining reasonable computational efficiency; we find that N{sub par} = 12 is well within the capabilities of the method. The performance of the code is tested by comparing cosmological parameters estimated using Snake and the WMAP-7 data with those obtained using CosmoMC, the current standard code in the field. We find fully consistent results, with similar computational expenses, but shorter wall time due to the perfect parallelization scheme.

  8. Grid-based exploration of cosmological parameter space with Snake

    E-Print Network [OSTI]

    Mikkelsen, K; Eriksen, H K

    2012-01-01T23:59:59.000Z

    We present a fully parallelized grid-based parameter estimation algorithm for investigating multidimensional likelihoods called Snake, and apply it to cosmological parameter estimation. The basic idea is to map out the likelihood grid-cell by grid-cell according to decreasing likelihood, and stop when a certain threshold has been reached. This approach improves vastly on the "curse of dimensionality" problem plaguing standard grid-based parameter estimation simply by disregarding grid-cells with negligible likelihood. The main advantages of this method compared to standard Metropolis-Hastings MCMC methods include 1) trivial extraction of arbitrary conditional distributions; 2) direct access to Bayesian evidences; 3) better sampling of the tails of the distribution; and 4) nearly perfect parallelization scaling. The main disadvantage is, as in the case of brute-force grid-based evaluation, a dependency on the number of parameters, N_par. One of the main goals of the present paper is to determine how large N_pa...

  9. National SCADA Test Bed Substation Automation Evaluation Report

    SciTech Connect (OSTI)

    Kenneth Barnes; Briam Johnson

    2009-10-01T23:59:59.000Z

    Increased awareness of the potential for cyber attack has recently resulted in improved cyber security practices associated with the electrical power grid. However, the level of practical understanding and deployment of cyber security practices has not been evenly applied across all business sectors. Much of the focus has been centered on information technology business centers and control rooms. This report explores the current level of substation automation, communication, and cyber security protection deployed in electrical substations throughout existing utilities in the United States. This report documents the evaluation of substation automation implementation and associated vulnerabilities. This evaluation used research conducted by Newton-Evans Research Company for some of its observations and results. The Newton Evans Report aided in the determination of what is the state of substation automation in North American electric utilities. Idaho National Laboratory cyber security experts aided in the determination of what cyber vulnerabilities may pose a threat to electrical substations. This report includes cyber vulnerabilities as well as recommended mitigations. It also describes specific cyber issues found in typical substation automation configurations within the electric utility industry. The evaluation report was performed over a 5-month period starting in October 2008

  10. Automated Very Low Magnification Imaging

    E-Print Network [OSTI]

    of the entire available imaging area on the grid. The VLM image can then be used as a reference map of Illinois at Urbana- Champaign, Urbana, IL 61801. A typical TEM specimen grid provides approximately a 2x2 mm area that is available for imaging. In order to identify and locate suitable targets on the grid

  11. Sensor Grid: Integration of Wireless Sensor Networks and the Grid

    E-Print Network [OSTI]

    Teo, Yong-Meng

    Sensor Grid: Integration of Wireless Sensor Networks and the Grid Hock Beng Lim1 , Yong Meng Teo1 Microsystems, Inc. E-mail: [limhb, teoym]@comp.nus.edu.sg Abstract Wireless sensor networks have emerged to the sharing of sensor resources in wireless sensor networks. There are several issues and challenges

  12. Communication Systems for Grid Integration of Renewable Energy Resources

    E-Print Network [OSTI]

    Yu, F Richard; Xiao, Weidong; Choudhury, Paul

    2011-01-01T23:59:59.000Z

    There is growing interest in renewable energy around the world. Since most renewable sources are intermittent in nature, it is a challenging task to integrate renewable energy resources into the power grid infrastructure. In this grid integration, communication systems are crucial technologies, which enable the accommodation of distributed renewable energy generation and play extremely important role in monitoring, operating, and protecting both renewable energy generators and power systems. In this paper, we review some communication technologies available for grid integration of renewable energy resources. Then, we present the communication systems used in a real renewable energy project, Bear Mountain Wind Farm (BMW) in British Columbia, Canada. In addition, we present the communication systems used in Photovoltaic Power Systems (PPS). Finally, we outline some research challenges and possible solutions about the communication systems for grid integration of renewable energy resources.

  13. The pilot way to Grid resources using glideinWMS

    SciTech Connect (OSTI)

    Sfiligoi, Igor; /Fermilab; Bradley, Daniel C.; /Wisconsin U., Madison; Holzman, Burt; Mhashilkar, Parag; /Fermilab; Padhi, Sanjay; Wurthwrin, Frank; /UC, San Diego

    2010-09-01T23:59:59.000Z

    Grid computing has become very popular in big and widespread scientific communities with high computing demands, like high energy physics. Computing resources are being distributed over many independent sites with only a thin layer of Grid middleware shared between them. This deployment model has proven to be very convenient for computing resource providers, but has introduced several problems for the users of the system, the three major being the complexity of job scheduling, the nonuniformity of computer resources, and the lack of good job monitoring. Pilot jobs address all the above problems by creating a virtual private computing pool on top of Grid resources. This paper presents both the general pilot concept, as well as a concrete implementation, called glideinWMS, deployed in the Open Science Grid.

  14. Topic 1: Basics of Power Systems A.H. MohsenianRad (U of T) 1Networking and Distributed Systems

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    ) Transmission Lines Several Hundred Miles Switching Stations Transformers Circuit Breakers #12;Power Systems Grid 7 · Power Distribution: Medium Voltage (MV) Transmission Lines ( in Smart Grid 11 Nodes: Buses Links: Transmission Lines Generator Load #12;Power Grid Graph Representation

  15. Production of BaBar Skimmed Analysis Datasets Using the Grid

    SciTech Connect (OSTI)

    Brew, C.A.J.; /Rutherford; Wilson, F.F.; /Rutherford; Castelli, G.; /Rutherford; Adye, T.; /Rutherford; Roethel, W.; /Rutherford; Luppi, E.; /INFN, Ferrara; Andreotti, D.; /INFN, Ferrara; Smith, D.; /SLAC; Khan, A.; /Brunel U.; Barrett, M.; /Brunel U.; Barlow, R.; /Manchester U.; Bailey, D.; /Manchester U.

    2011-11-10T23:59:59.000Z

    The BABAR Collaboration, based at Stanford Linear Accelerator Center (SLAC), Stanford, US, has been performing physics reconstruction, simulation studies and data analysis for 8 years using a number of compute farms around the world. Recent developments in Grid technologies could provide a way to manage the distributed resources in a single coherent structure. We describe enhancements to the BABAR experiment's distributed skimmed dataset production system to make use of European Grid resources and present the results with regard to BABAR's latest cycle of skimmed dataset production. We compare the benefits of a local and Grid-based systems, the ease with which the system is managed and the challenges of integrating the Grid with legacy software. We compare job success rates and manageability issues between Grid and non-Grid production.

  16. Automation of Painted Slate Inspection

    E-Print Network [OSTI]

    Whelan, Paul F.

    Automation of Painted Slate Inspection BY Tim Carew (B.Eng.) carewt@eeng.dcu.ie Submitted...........................................................................................................18 2.1 Prior research on inspection of slates

  17. automation: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Websites Summary: of a partial automation since they act on the control part of the vehicle. This increasing automationABV- A Low Speed Automation Project to Study the...

  18. Enhancing Power Grid Stability through Analytics

    E-Print Network [OSTI]

    Lakoba, Taras I.

    the "Smart" Grid? · Premise #1: the grid has long been pretty smart (Edison, Tesla, Steinmetz et al were of Vermont Seminar October 23, 2013 3 What Drives the "Smart" Grid? · Premise #2: As well operated as grid of Vermont Seminar October 23, 2013 4 What Drives the "Smart" Grid? · Premise #3: new technology is providing

  19. Service Reliability Measurement Using Automated Fare Card Data Application to the London Underground

    E-Print Network [OSTI]

    Uniman, David L.

    This paper explores the potential of using automated fare card data to quantify the reliability of service as experienced by passengers of rail transit systems. The distribution of individual passenger journey times can ...

  20. GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical...

    Office of Environmental Management (EM)

    Challenges More Documents & Publications QER - Comment of GridWise Alliance 1 SmartGrid Consortium: Smart Grid Roadmap for the State of New York Smart Grid: Enabler of the...

  1. Grid Integration and the Carrying Capacity of the U.S. Grid to...

    Energy Savers [EERE]

    Grid Integration and the Carrying Capacity of the U.S. Grid to Incorporate Variable Renewable Energy Grid Integration and the Carrying Capacity of the U.S. Grid to Incorporate...

  2. Results and commissioning issues from an automated demand responsepilot

    SciTech Connect (OSTI)

    Piette, Mary Ann; Watson, Dave; Sezgen, Osman; Motegi, Naoya

    2004-08-05T23:59:59.000Z

    This paper describes a research project to develop and test Automated Demand Response hardware and software technology in large facilities. We describe the overall project and some of the commissioning and system design problems that took place. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability purposes, manage electricity costs, and ensure that customers receive signals that encourage load reduction during times when the electric grid is near its capacity. There were a number of specific commissioning challenges in conducting this test including software compatibility, incorrect time zones, IT and EMCS failures, and hardware issues. The knowledge needed for this type of system commissioning combines knowledge of building controls with network management and knowledge of emerging information technologies.

  3. Automated Circuit Breaker Monitoring U.S. DOE CERTS Project

    E-Print Network [OSTI]

    Reliability Technology Solutions (CERTS), and funded by the Office of Electric Transmission and Distribution a portion of the power system is very critical task and circuit breakers must be very reliableAutomated Circuit Breaker Monitoring U.S. DOE CERTS Project Power Systems Engineering Research

  4. Medical and Home automation Sensor Networks for Senior Citizens Telehomecare

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of building smart homes named "Vill'Âge" at France. Keywords: Telemedicine, Tele-Healthcare, Elderly Healthcare, Smart Home, Distributed health record, Actimetry, Fuzzy logic, Home automation I. INTRODUCTION and Internet technologies have a key role in the development of smart homes. Healthcare integrated smart homes

  5. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

    Kiliccote, Sila; Global Energy Partners; Pacific Gas and Electric Company

    2008-01-01T23:59:59.000Z

    their partnership in demand response automation research andand Techniques for Demand Response. LBNL Report 59975. Mayof Fully Automated Demand Response in Large Facilities.

  6. Home Network Technologies and Automating Demand Response

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01T23:59:59.000Z

    and Automating Demand Response Charles McParland, Lawrenceand Automating Demand Response Charles McParland, LBNLCommercial and Residential Demand Response Overview of the

  7. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

    Kiliccote, Sila; Global Energy Partners; Pacific Gas and Electric Company

    2008-01-01T23:59:59.000Z

    al: Installation and Commissioning Automated Demand ResponseConference on Building Commissioning: April 22 – 24, 2008al: Installation and Commissioning Automated Demand Response

  8. Smart Grid - Transforming Power System Operations

    SciTech Connect (OSTI)

    Widergren, Steven E.; Kirkham, Harold

    2010-04-28T23:59:59.000Z

    Abstract—Electric power systems are entering a new realm of operations. Large amounts of variable generation tax our ability to reliably operate the system. Couple this with a greater reliance on the electricity network to serve consumer demand that is likely to rise significantly even as we drive for greater efficiency. Trade-offs between energy and environmental needs will be constantly negotiated, while a reliable supply of electricity needs even greater assurance in a world where threats of disruption have risen. Smart grid capabilities are being proposed to help address the challenges confronting system operations. This paper reviews the impact of smart grid functionality on transforming power system operations. It explores models for distributed energy resources (DER – generation, storage, and load) that are appearing on the system. It reviews the evolving nature of electricity markets to deal with this complexity and a change of emphasis on signals from these markets to affect power system control. Smart grid capabilities will also impact reliable operations, while cyber security issues must be addressed as a culture change that influences all system design, implementation, and maintenance. Lastly, the paper explores significant questions for further research and the need for a simulation environment that supports such investigation and informs deployments to mitigate operational issues as they arise.

  9. Integration of automation design information using XML technologies

    E-Print Network [OSTI]

    Integration of automation design information using XML technologies Master of Science Thesis Mika Degree Program Institute of Automation and Control Viinikkala, Mika: Integration of automation design Software Ltd., Metso Automation, and TEKES Department of Automation June 2002 Keywords: System integration

  10. New Science on the Open Science Grid

    SciTech Connect (OSTI)

    Pordes, Ruth; Altunay, Mine; Avery, Paul; Bejan, Alina; Blackburn, Kent; Blatecky, Alan; Gardner, Rob; Kramer, Bill; Livny, Miron; McGee, John; Potekhin, Maxim; /Fermilab /Florida U. /Chicago U. /Caltech /LBL, Berkeley /Wisconsin U., Madison /Indiana U. /Brookhaven /UC, San Diego

    2008-06-01T23:59:59.000Z

    The Open Science Grid (OSG) includes work to enable new science, new scientists, and new modalities in support of computationally based research. There are frequently significant sociological and organizational changes required in transformation from the existing to the new. OSG leverages its deliverables to the large scale physics experiment member communities to benefit new communities at all scales through activities in education, engagement and the distributed facility. As a partner to the poster and tutorial at SciDAC 2008, this paper gives both a brief general description and some specific examples of new science enabled on the OSG. More information is available at the OSG web site: www.opensciencegrid.org.

  11. Sandia Energy - Smart Grid Tools and Technology

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstitute ofSiting and Barrier

  12. Micro-Grids for Colonias (TX)

    SciTech Connect (OSTI)

    Dean Schneider; Michael Martin; Renee Berry; Charles Moyer

    2012-07-31T23:59:59.000Z

    This report describes the results of the final implementation and testing of a hybrid micro-grid system designed for off-grid applications in underserved Colonias along the Texas/Mexico border. The project is a federally funded follow-on to a project funded by the Texas State Energy Conservation Office in 2007 that developed and demonstrated initial prototype hybrid generation systems consisting of a proprietary energy storage technology, high efficiency charging and inverting systems, photovoltaic cells, a wind turbine, and bio-diesel generators. This combination of technologies provided continuous power to dwellings that are not grid connected, with a significant savings in fuel by allowing power generation at highly efficient operating conditions. The objective of this project was to complete development of the prototype systems and to finalize and engineering design; to install and operate the systems in the intended environment, and to evaluate the technical and economic effectiveness of the systems. The objectives of this project were met. This report documents the final design that was achieved and includes the engineering design documents for the system. The system operated as designed, with the system availability limited by maintenance requirements of the diesel gensets. Overall, the system achieved a 96% availability over the operation of the three deployed systems. Capital costs of the systems were dependent upon both the size of the generation system and the scope of the distribution grid, but, in this instance, the systems averaged $0.72/kWh delivered. This cost would decrease significantly as utilization of the system increased. The system with the highest utilization achieved a capitol cost amortized value of $0.34/kWh produced. The average amortized fuel and maintenance cost was $0.48/kWh which was dependent upon the amount of maintenance required by the diesel generator. Economically, the system is difficult to justify as an alternative to grid power. However, the operational costs are reasonable if grid power is unavailable, e.g. in a remote area or in a disaster recovery situation. In fact, avoided fuel costs for the smaller of the systems in use during this project would have a payback of the capital costs of that system in 2.3 years, far short of the effective system life.

  13. Automated fiber pigtailing machine

    DOE Patents [OSTI]

    Strand, O.T.; Lowry, M.E.

    1999-01-05T23:59:59.000Z

    The Automated Fiber Pigtailing Machine (AFPM) aligns and attaches optical fibers to optoelectronic (OE) devices such as laser diodes, photodiodes, and waveguide devices without operator intervention. The so-called pigtailing process is completed with sub-micron accuracies in less than 3 minutes. The AFPM operates unattended for one hour, is modular in design and is compatible with a mass production manufacturing environment. This machine can be used to build components which are used in military aircraft navigation systems, computer systems, communications systems and in the construction of diagnostics and experimental systems. 26 figs.

  14. Methods for Multisweep Automation

    SciTech Connect (OSTI)

    SHEPHERD,JASON F.; MITCHELL,SCOTT A.; KNUPP,PATRICK; WHITE,DAVID R.

    2000-09-14T23:59:59.000Z

    Sweeping has become the workhorse algorithm for creating conforming hexahedral meshes of complex models. This paper describes progress on the automatic, robust generation of MultiSwept meshes in CUBIT. MultiSweeping extends the class of volumes that may be swept to include those with multiple source and multiple target surfaces. While not yet perfect, CUBIT's MultiSweeping has recently become more reliable, and been extended to assemblies of volumes. Sweep Forging automates the process of making a volume (multi) sweepable: Sweep Verification takes the given source and target surfaces, and automatically classifies curve and vertex types so that sweep layers are well formed and progress from sources to targets.

  15. Automated fiber pigtailing machine

    DOE Patents [OSTI]

    Strand, Oliver T. (Castro Valley, CA); Lowry, Mark E. (Castro Valley, CA)

    1999-01-01T23:59:59.000Z

    The Automated Fiber Pigtailing Machine (AFPM) aligns and attaches optical fibers to optoelectonic (OE) devices such as laser diodes, photodiodes, and waveguide devices without operator intervention. The so-called pigtailing process is completed with sub-micron accuracies in less than 3 minutes. The AFPM operates unattended for one hour, is modular in design and is compatible with a mass production manufacturing environment. This machine can be used to build components which are used in military aircraft navigation systems, computer systems, communications systems and in the construction of diagnostics and experimental systems.

  16. INFOGRAPHIC: Understanding the Grid | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    can I participate? Send us your questions about how the grid works using GridWeek on Facebook, Twitter and Google+. Join the GridWeek Twitter chat on Thursday, November 20 at 2PM...

  17. Embodied Energy and Off-Grid Lighting

    E-Print Network [OSTI]

    Alstone, Peter

    2012-01-01T23:59:59.000Z

    Life Cycle Assessment of Off-Grid Lighting Applications:Testing for Emerging Off-grid White-LED Illumination SystemsBudget: The Economics of Off-Grid Lighting for Small

  18. Parametrization-independent elliptic surface grid generation

    E-Print Network [OSTI]

    Rasmussen, Britt Bille

    2009-01-01T23:59:59.000Z

    The generation of computational grids on surfaces of three-dimensional configurations is an important component of many areas of computational research, both as a boundary grid for volume grid generation or to perform ...

  19. Considering Prefabulous and Almost Off the Grid

    E-Print Network [OSTI]

    Grenier, Lotus; Beba, Zoe; Gray, Art

    2013-01-01T23:59:59.000Z

    Prefabulous and Almost Off the Grid Introduction Two recentPrefabulous and Almost Off the Grid by Sheri Koones In herand Almost O?fz‘/Je Grid (Abrams, 2012), Sheri Koones pro?

  20. Smart Grid Status and Metrics Report

    SciTech Connect (OSTI)

    Balducci, Patrick J.; Weimar, Mark R.; Kirkham, Harold

    2014-07-01T23:59:59.000Z

    To convey progress made in achieving the vision of a smart grid, this report uses a set of six characteristics derived from the National Energy Technology Laboratory Modern Grid Strategy. It measures 21 metrics to provide insight into the grid’s capacity to embody these characteristics. This report looks across a spectrum of smart grid concerns to measure the status of smart grid deployment and impacts.

  1. National Smart Water Grid

    SciTech Connect (OSTI)

    Beaulieu, R A

    2009-07-13T23:59:59.000Z

    The United States repeatedly experiences floods along the Midwest's large rivers and droughts in the arid Western States that cause traumatic environmental conditions with huge economic impact. With an integrated approach and solution these problems can be alleviated. Tapping into the Mississippi River and its tributaries, the world's third largest fresh water river system, during flood events will mitigate the damage of flooding and provide a new source of fresh water to the Western States. The trend of increased flooding on the Midwest's large rivers is supported by a growing body of scientific literature. The Colorado River Basin and the western states are experiencing a protracted multi-year drought. Fresh water can be pumped via pipelines from areas of overabundance/flood to areas of drought or high demand. Calculations document 10 to 60 million acre-feet (maf) of fresh water per flood event can be captured from the Midwest's Rivers and pumped via pipelines to the Colorado River and introduced upstream of Lake Powell, Utah, to destinations near Denver, Colorado, and used in areas along the pipelines. Water users of the Colorado River include the cities in southern Nevada, southern California, northern Arizona, Colorado, Utah, Indian Tribes, and Mexico. The proposed start and end points, and routes of the pipelines are documented, including information on right-of-ways necessary for state and federal permits. A National Smart Water Grid{trademark} (NSWG) Project will create thousands of new jobs for construction, operation, and maintenance and save billions in drought and flood damage reparations tax dollars. The socio-economic benefits of NWSG include decreased flooding in the Midwest; increased agriculture, and recreation and tourism; improved national security, transportation, and fishery and wildlife habitats; mitigated regional climate change and global warming such as increased carbon capture; decreased salinity in Colorado River water crossing the US-Mexico border; and decreased eutrophication (excessive plant growth and decay) in the Gulf of Mexico to name a few. The National Smart Water Grid{trademark} will pay for itself in a single major flood event.

  2. Integrated Retail and Wholesale Power System Operation with Smart-Grid Functionality

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Integrated Retail and Wholesale Power System Operation with Smart-Grid Functionality Dionysios of retail and wholesale power markets operating over transmission and distribution networks with smart-grid functionality. This test bed seams together two existing test beds, the AMES Wholesale Power Market Test Bed

  3. Developing a PHP-based Legacy Application Grid System Lorenzo Campanelli

    E-Print Network [OSTI]

    Miles, Will

    electrical grid. Just as the power grid is readily accessible and collectively organizes many power plants to defeat such threats are rewarded with greater efficiency over alternate systems for distributive derived its name from its ideal similarity to the way power companies and their users share the modern

  4. Utility Computing on Global Grids Chee Shin Yeo, Rajkumar Buyya1

    E-Print Network [OSTI]

    Buyya, Rajkumar

    . Utility computing is envisioned to be the next generation of Information Technology (IT) evolution1 Utility Computing on Global Grids Chee Shin Yeo, Rajkumar Buyya1 , Marcos Dias de Assunção, Jia Yu, Anthony Sulistio, Srikumar Venugopal, and Martin Placek Grid Computing and Distributed Systems

  5. Building a DBMS on top of the JuxMem Grid Data-Sharing Service

    E-Print Network [OSTI]

    Building a DBMS on top of the JuxMem Grid Data-Sharing Service Abdullah Almousa Almaksour , Gabriel.antoniu@irisa.fr Abstract-- We claim that building a distributed DBMS on top of a general-purpose grid data-sharing service propose consists in providing the DBMS with a transparent, persistent and fault-tolerant access

  6. Sandia Energy - Grid Cyber Vulnerability & Assessments

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Consequences and Impacts It's important to recognize that adopting these advanced grid-control technologies doesn't just have the potential to increase power grid reliability...

  7. Sandia National Laboratories: smart-grid technologies

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    smart-grid technologies New Jersey Transit FutureGrid MOU Signing On October 4, 2013, in Analysis, Energy Surety, Infrastructure Security, Microgrid, Modeling, Modeling & Analysis,...

  8. Sandia National Laboratories: energy resilient smart grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    resilient smart grid Hoboken Hopes To Reduce Power Outages With New 'Smart Grid' System On June 20, 2013, in Energy, Energy Assurance, Energy Storage, Energy Storage Systems,...

  9. Conference Proceedings Available - The Smart Grid Experience...

    Energy Savers [EERE]

    the Grid Through Integration Conservation and Optimization via VoltVar Control Systems Driving the Integrated Grid - Including DMS, DA, DERMS, DRMS Communications and Cyber...

  10. Sandia National Laboratories: Transmission Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Transmission Grid Integration Wind Generator Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy Surety, Grid Integration, Infrastructure Security,...

  11. Tribal Renewable Energy Foundational Course: Electricity Grid...

    Office of Environmental Management (EM)

    Electricity Grid Basics Tribal Renewable Energy Foundational Course: Electricity Grid Basics Watch the U.S. Department of Energy Office of Indian Energy foundational course webinar...

  12. Principal Characteristics of a Modern Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Self heals - acts as the grid's "immune system" Supports grid reliability, security, and power quality Today Tomorrow Protects assets following disruption (e.g. trip relay)...

  13. Principal Characteristics of a Modern Grid

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Modern Grid Wisconsin Public Utility Institute and UW Energy Institute Joe Miller, Steve Pullins, Steve Bossart - Modern Grid Team April 29, 2008 1 Conducted by the National Energy...

  14. National Grid (Gas)- Commercial Energy Efficiency Programs

    Broader source: Energy.gov [DOE]

    National Grid’s Commercial Energy Efficiency Program provides support services and incentives to commercial customers who install energy efficient natural gas related measures. Prescriptive...

  15. Solar Power and the Electric Grid, Energy Analysis (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-03-01T23:59:59.000Z

    In today's electricity generation system, different resources make different contributions to the electricity grid. This fact sheet illustrates the roles of distributed and centralized renewable energy technologies, particularly solar power, and how they will contribute to the future electricity system. The advantages of a diversified mix of power generation systems are highlighted.

  16. An Electricity Trade Model for Microgrid Communities in Smart Grid

    E-Print Network [OSTI]

    Pedram, Massoud

    is the major trend of future smart grid, which contains various kinds of renewable power generation centers]. This distributed power generation center has made it easier to make use of all kinds of renewable energy sources as a "prosumer" (producer and consumer) [3]. It contains one or multiple kinds of renewable power generation

  17. Semi-Cooperative Learning in Smart Grid Agents

    E-Print Network [OSTI]

    Veloso, Manuela M.

    , either expressed or implied, of any sponsoring institution, the U.S. government or any other entity. #12 generate and use electricity. We need to develop Smart Grid systems in which distributed sustainable energy resources are fully integrated and energy consumption is efficient. Customers, i.e., con- sumers

  18. A Lightweight, Scalable Grid Computing Framework for Parallel Bioinformatics Applications

    E-Print Network [OSTI]

    De Sterck, Hans

    and methods for solving large scientific and engineering problems on such parallel and distributed computersA Lightweight, Scalable Grid Computing Framework for Parallel Bioinformatics Applications Hans De Sterck Department of Applied Mathematics University of Waterloo Waterloo, Ontario N2L 3G1, Canada Email

  19. Semi-Cooperative Learning in Smart Grid Agents

    E-Print Network [OSTI]

    electricity. We need to develop Smart Grid systems in which distributed sustainable energy resources are fully-1, prime sponsor DARPA under grant number FA8650-08-C-7812. The views and conclusions in this document the environmental impact of our growing energy demand creates tough new challenges in how we generate and use

  20. Smart Grid | Department of Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9MorganYou are here HomeSmart Grid Smart Grid Smart

  1. GridStat – Cyber Security and Regional Deployment Project Report

    SciTech Connect (OSTI)

    Clements, Samuel L.

    2009-02-18T23:59:59.000Z

    GridStat is a developing communication technology to provide real-time data delivery services to the electric power grid. It is being developed in a collaborative effort between the Electrical Power Engineering and Distributed Computing Science Departments at Washington State University. Improving the cyber security of GridStat was the principle focus of this project. A regional network was established to test GridStat’s cyber security mechanisms in a realistic environment. The network consists of nodes at Pacific Northwest National Laboratory, Idaho National Laboratory, and Washington State University. Idaho National Laboratory (INL) was tasked with performing the security assessment, the results of which detailed a number or easily resolvable and previously unknown issues, as well as a number of difficult and previously known issues. Going forward we recommend additional development prior to commercialization of GridStat. The development plan is structured into three domains: Core Development, Cyber Security and Pilot Projects. Each domain contains a number of phased subtasks that build upon each other to increase the robustness and maturity of GridStat.

  2. IEEE Smart Grid Series of Standards IEEE 2030 (Interoperability) and IEEE 1547 (Interconnection) Status: Preprint

    SciTech Connect (OSTI)

    Basso, T.; DeBlasio, R.

    2012-04-01T23:59:59.000Z

    The IEEE American National Standards smart grid publications and standards development projects IEEE 2030, which addresses smart grid interoperability, and IEEE 1547TM, which addresses distributed resources interconnection with the grid, have made substantial progress since 2009. The IEEE 2030TM and 1547 standards series focus on systems-level aspects and cover many of the technical integration issues involved in a mature smart grid. The status and highlights of these two IEEE series of standards, which are sponsored by IEEE Standards Coordinating Committee 21 (SCC21), are provided in this paper.

  3. Hydrogen ions produced by plasma-assisted catalytic ionization using nickel grid

    SciTech Connect (OSTI)

    Oohara, W.; Kawata, K.; Hibino, T. [Department of Electronic Device Engineering, Yamaguchi University, Ube 755-8611 (Japan)] [Department of Electronic Device Engineering, Yamaguchi University, Ube 755-8611 (Japan)

    2013-06-15T23:59:59.000Z

    Positive and negative hydrogen ions are produced by plasma-assisted catalytic ionization using a nickel grid, where the irradiation current density of positive ions onto the grid can be controlled by the discharge power. The irradiation energy can be controlled by both the grid potential and the discharge plasma potential. Extraction properties and energy distributions of positive and negative ions produced in the cases of using the grid and a porous nickel plate are compared. Two production mechanisms of negative ions are found in the process of plasma-assisted catalytic ionization.

  4. Field Test Results of Automated Demand Response in a Large Office Building

    SciTech Connect (OSTI)

    Han, Junqiao; Piette, Mary Ann; Kiliccote, Sila

    2008-10-20T23:59:59.000Z

    Demand response (DR) is an emerging research field and an effective tool that improves grid reliability and prevents the price of electricity from rising, especially in deregulated markets. This paper introduces the definition of DR and Automated Demand Response (Auto-DR). It describes the Auto-DR technology utilized at a commercial building in the summer of 2006 and the methodologies to evaluate associated demand savings. On the basis of field tests in a large office building, Auto-DR is proven to be a reliable and credible resource that ensures a stable and economical operation of the power grid.

  5. Towards Automated Service Composition using Policy Ontology in Building Automation System

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Towards Automated Service Composition using Policy Ontology in Building Automation System Son N.crespi}@it-sudparis.eu Abstract--Automated service composition is critical for suc- cessfully implementing Building Automation-service composition; semantic web; policy; ontol- ogy; building automation system; I. INTRODUCTION In building

  6. L3 Informatique Automates et langages formels 4 mars 2009 TD 5 : Automates `a pile

    E-Print Network [OSTI]

    Schmitz, Sylvain

    L3 Informatique Automates et langages formels 4 mars 2009 TD 5 : Automates `a pile Exercice 1 (Exemples d'automates `a pile). Donner un automate `a pile A = Q, , Z, T, q0, z0, F pour chacun des trois pile. Montrer que l'on peut construire un automate `a pile A ´equivalent avec une relation de

  7. ABV-A Low Speed Automation Project to Study the Technical Feasibility of Fully Automated Driving

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    on vehicle automation since many years. From 1987 to 1995 the European Commission funded the 800 million concepts of vehicles designed as fully automated vehicles [1]. Beyond its fully automation ability Automated Highway System Consortium (NAHSC) that demonstrated about 20 automated vehicles in Demo'97 on I-15

  8. Introduction to FireGrid 

    E-Print Network [OSTI]

    Welch, Stephen; Usmani, Asif; Upadhyay, Rochan; Berry, Dave; Potter, Stephen; Torero, Jose L

    2007-11-14T23:59:59.000Z

    FireGrid is an ambitious and innovative project, seeking to develop the technology to support a new way of managing emergency response in the modern built environment. Specific novel aspects include the integration of ...

  9. Grid Pricing of Fed Cattle

    E-Print Network [OSTI]

    Schroeder, Ted C.; Hogan, Robert J.; Anderson, David P.

    2009-03-02T23:59:59.000Z

    There are several value-based fed cattle pricing systems, including formula pricing, price grids and alliances. This publication describes the different cattle pricing methods and helps you decide which is best for you....

  10. Sandia National Laboratories: Grid Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    grid relies on power transmission from the production source-be it a coal-fired plant, solar array, or wind farm-to the consumer. Long-distance transmission results in sizeable...

  11. Communication in automation, including networking and wireless

    E-Print Network [OSTI]

    Antsaklis, Panos

    Communication in automation, including networking and wireless Nicholas Kottenstette and Panos J and networking in automation is given. Digital communication fundamentals are reviewed and networked control are presented. 1 Introduction 1.1 Why communication is necessary in automated systems Automated systems use

  12. automated on-line separation-preconcentration: Topics by E-print...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Automation 12;Test Automation Outline Test Automation Mousavi: Test Automation 12;Test Automation Why? Challenges of Manual Testing Test-case design: Choosing inputs Mousavi,...

  13. automated on-line solvent: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Automation 12;Test Automation Outline Test Automation Mousavi: Test Automation 12;Test Automation Why? Challenges of Manual Testing Test-case design: Choosing inputs Mousavi,...

  14. Smart Wire Grid: Resisting Expectations

    ScienceCinema (OSTI)

    Ramsay, Stewart; Lowe, DeJim

    2014-04-09T23:59:59.000Z

    Smart Wire Grid's DSR technology (Discrete Series Reactor) can be quickly deployed on electrical transmission lines to create intelligent mesh networks capable of quickly rerouting electricity to get power where and when it's needed the most. With their recent ARPA-E funding, Smart Wire Grid has been able to move from prototype and field testing to building out a US manufacturing operation in just under a year.

  15. Smart Wire Grid: Resisting Expectations

    SciTech Connect (OSTI)

    Ramsay, Stewart; Lowe, DeJim

    2014-03-03T23:59:59.000Z

    Smart Wire Grid's DSR technology (Discrete Series Reactor) can be quickly deployed on electrical transmission lines to create intelligent mesh networks capable of quickly rerouting electricity to get power where and when it's needed the most. With their recent ARPA-E funding, Smart Wire Grid has been able to move from prototype and field testing to building out a US manufacturing operation in just under a year.

  16. NREL: Transmission Grid Integration - Forecasting

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecasting NREL researchers use

  17. NREL: Transmission Grid Integration - News

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecastingNews The following news

  18. NREL: Transmission Grid Integration - Projects

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecastingNews The

  19. NREL: Transmission Grid Integration - Publications

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecastingNews ThePublications

  20. NREL: Transmission Grid Integration - Webinars

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning and Analysis

  1. NREL: Transmission Grid Integration - Webmaster

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning and AnalysisWebmaster

  2. Microsoft PowerPoint - MACRUC Smart Grid School_rev 2A_NETL.pptx

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Technology Areas 8 What's different with the Smart Grid? * Adds de-centralized supply and control * Two-way power flow at the distribution level * Two-way power flow at the...

  3. A new wholesale bidding mechanism for enhanced demand response in smart grids

    E-Print Network [OSTI]

    Wang, Jiankang

    Calls to improve customer participation as a key element of smart grids have reinvigorated interest in demand-side features such as distributed generation, on-site storage and demand response. In the context of deregulated ...

  4. Robust automated knowledge capture.

    SciTech Connect (OSTI)

    Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

    2011-10-01T23:59:59.000Z

    This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

  5. ISOGA: Integrated Services Optical Grid Architecture for Emerging E-Science Collaborative Applications

    SciTech Connect (OSTI)

    Oliver Yu

    2008-11-28T23:59:59.000Z

    This final report describes the accomplishments in the ISOGA (Integrated Services Optical Grid Architecture) project. ISOGA enables efficient deployment of existing and emerging collaborative grid applications with increasingly diverse multimedia communication requirements over a wide-area multi-domain optical network grid; and enables collaborative scientists with fast retrieval and seamless browsing of distributed scientific multimedia datasets over a wide-area optical network grid. The project focuses on research and development in the following areas: the polymorphic optical network control planes to enable multiple switching and communication services simultaneously; the intelligent optical grid user-network interface to enable user-centric network control and monitoring; and the seamless optical grid dataset browsing interface to enable fast retrieval of local/remote dataset for visualization and manipulation.

  6. Automated Verification of Quantum Protocols using MCMAS

    E-Print Network [OSTI]

    F. Belardinelli; P. Gonzalez; A. Lomuscio

    2012-07-04T23:59:59.000Z

    We present a methodology for the automated verification of quantum protocols using MCMAS, a symbolic model checker for multi-agent systems The method is based on the logical framework developed by D'Hondt and Panangaden for investigating epistemic and temporal properties, built on the model for Distributed Measurement-based Quantum Computation (DMC), an extension of the Measurement Calculus to distributed quantum systems. We describe the translation map from DMC to interpreted systems, the typical formalism for reasoning about time and knowledge in multi-agent systems. Then, we introduce dmc2ispl, a compiler into the input language of the MCMAS model checker. We demonstrate the technique by verifying the Quantum Teleportation Protocol, and discuss the performance of the tool.

  7. Cyber Security & Smart Grid 

    E-Print Network [OSTI]

    Shapiro, J.

    2011-01-01T23:59:59.000Z

    to complexity, proprietary nature and different management teams ? Ripe for exploitation ? Intel, Microsoft, Security vendors are not focused on this technology ? Many are NOT PC?s ? Many can be infected and the devices cannot be cleaned ESL-KT-11...-11-23 CATEE 2011, Dallas, Texas, Nov. 7 ? 9, 2011 Inherent Vulnerabilities ? Two-way communications ? Distributed connectivity ? Customer usage data ? Metering devices ? Weak authentication and access control ? Lack of adequate training ? Lack...

  8. Framework for Interactive Parallel Dataset Analysis on the Grid

    SciTech Connect (OSTI)

    Alexander, David A.; Ananthan, Balamurali; /Tech-X Corp.; Johnson, Tony; Serbo, Victor; /SLAC

    2007-01-10T23:59:59.000Z

    We present a framework for use at a typical Grid site to facilitate custom interactive parallel dataset analysis targeting terabyte-scale datasets of the type typically produced by large multi-institutional science experiments. We summarize the needs for interactive analysis and show a prototype solution that satisfies those needs. The solution consists of desktop client tool and a set of Web Services that allow scientists to sign onto a Grid site, compose analysis script code to carry out physics analysis on datasets, distribute the code and datasets to worker nodes, collect the results back to the client, and to construct professional-quality visualizations of the results.

  9. Networks, smart grids: new model for synchronization

    E-Print Network [OSTI]

    - 1 - Networks, smart grids: new model for synchronization May 21, 2013 Networks of individual scenarios and in smart grid applications. "Smart grid" refers to technology to modernize utility electricity in a volatile smart grid scenario that included fluctuating loads with random power demand, renewable energy

  10. Benchmarking Grid Information Systems Laurence Field1

    E-Print Network [OSTI]

    Sakellariou, Rizos

    Benchmarking Grid Information Systems Laurence Field1 and Rizos Sakellariou2 1 CERN, Geneva. Grid information systems play a central role in today's pro- duction Grid infrastructures, enabling the discovery of a range of in- formation about the Grid services that exist in an infrastructure. As the number

  11. Grid Architecture Release 2.3

    E-Print Network [OSTI]

    Draft Grid Architecture Release 2.3 November 2014 Draft #12;Grid Architecture Release 2.3 November..................................................................................................... 2.1 3.0 Brief Introduction to Grid Architecture........................................................................................ 3.2 3.1 How Grid Architecture Can Be Used

  12. Evidential Grids Information Management in Dynamic Environments

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of Compiègne CNRS Heudiasyc UMR 7253, France Email: surname.name@utc.fr Abstract--An occupancy grid map conditions. The perception strategy involves map and scan grids [9], [10]. Indeed, an instantaneous scan grid-detections. The map grid acts as a filter that accumulate information and allows to detect moving objects. In dynamic

  13. Smart Grid e-Forum | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Federal Smart Grid Task Force Smart Grid e-Forum Smart Grid e-Forum DOE conducted a series of Smart Grid E-Forums to discuss various issues surrounding Smart Grid including...

  14. Participation through Automation: Fully Automated Critical Peak Pricing in Commercial Buildings

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

    2006-01-01T23:59:59.000Z

    Figure 2. Demand Response Automation Server and BuildingII system to notify the Automation Server of an up comingoccurs day-ahead). 2. The Automation Server posts two pieces

  15. Automation of Termination: Abstracting CCG through MWG Automation of Termination: Abstracting Calling

    E-Print Network [OSTI]

    Ayala-Rincón, Mauricio

    Automation of Termination: Abstracting CCG through MWG Automation of Termination: Abstracting of Termination: Abstracting CCG through MWG Motivation Termination analysis is a fundamental topic in computer science. While classical results state the undecidability of various termination problems, automated

  16. Smart Grid Information Security (IS) Functional Requirement

    E-Print Network [OSTI]

    Ling, Amy Poh Ai

    2011-01-01T23:59:59.000Z

    It is important to implement safe smart grid environment to enhance people's lives and livelihoods. This paper provides information on smart grid IS functional requirement by illustrating some discussion points to the sixteen identified requirements. This paper introduces the smart grid potential hazards that can be referred as a triggering factor to improve the system and security of the entire grid. The background of smart information infrastructure and the needs for smart grid IS is described with the adoption of hermeneutic circle as methodology. Grid information technology and security-s session discusses that grid provides the chance of a simple and transparent access to different information sources. In addition, the transformation between traditional versus smart grid networking trend and the IS importance on the communication field reflects the criticality of grid IS functional requirement identification is introduces. The smart grid IS functional requirements described in this paper are general and ...

  17. A Multi-Commodity Flow Approach to Maximising Utility in Linked Market-Based Grids

    E-Print Network [OSTI]

    Melbourne, University of

    . We then obtain a utility-aware distributed algorithm that generates increased utility utility in linked market-driven distributed and Grid systems. In such sys- tems, users submit jobs through-based, utility driven distributed systems, where all participants selfishly attempt to max- imise their own gain

  18. Aspects of automation mode confusion

    E-Print Network [OSTI]

    Wheeler, Paul H. (Paul Harrison)

    2007-01-01T23:59:59.000Z

    Complex systems such as commercial aircraft are difficult for operators to manage. Designers, intending to simplify the interface between the operator and the system, have introduced automation to assist the operator. In ...

  19. A Survey of Automated Deduction 

    E-Print Network [OSTI]

    Bundy, Alan

    We survey research in the automation of deductive inference, from its beginnings in the early history of computing to the present day. We identify and describe the major areas of research interest and their applications. ...

  20. Automated Assembly Using Feature Localization

    E-Print Network [OSTI]

    Gordon, Steven Jeffrey

    1986-12-01T23:59:59.000Z

    Automated assembly of mechanical devices is studies by researching methods of operating assembly equipment in a variable manner; that is, systems which may be configured to perform many different assembly operations ...