Sample records for grid integration group

  1. 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.

  2. 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,...

  3. 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...

  4. 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,...

  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. 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...

  7. 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,...

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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...

  13. 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,...

  14. 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.

  15. 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,...

  16. 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...

  17. 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,...

  18. 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,...

  19. 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,...

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. Transmission and Grid Integration: Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01T23:59:59.000Z

    Factsheet developed to describe the activites of the Transmission and Grid Integration Group within NREL's Electricity, Resources, and Buildings Systems Integration center.

  7. 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

  8. NREL: Transmission Grid Integration - Wind Integration Datasets

    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 andStudy PhaseWind

  9. Articles about Grid Integration and Transmission

    Broader source: Energy.gov [DOE]

    Stories about grid integration and transmission featured by the U.S. Department of Energy (DOE) Wind Program.

  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:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcomeLongEnergy StorageB.

  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:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757KelleyEffectsonSandia's Stan AtcittyRenewables

  12. 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 PossibleRadiationImplementingnpitche Home About npitche This authorEnergy &EC,Team

  13. Opening Remarks, Grid Integration Initiative Overview

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

    Loads Power Systems Integration Lab PV and Grid Simulators Energy Systems Integration Lab Fuel Cells, Electrolyzers Outdoor Test Area EVs, MV equipment Rooftop PV & Wind Energy...

  14. 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

  15. Grid Integration | Department of Energy

    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 1,006 492 742 33Frequently20,000 RussianBy: Thomas P. D'Agostino,Glen WattmanInvestigationsandGrid Integration The

  16. 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

  17. Articles about Grid Integration and Transmission | Department...

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

    grid integration and transmission featured by the U.S. Department of Energy (DOE) Wind Program. May 18, 2015 New Report Says Western Grid Can Weather Disturbances with High Wind,...

  18. 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.

  19. 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...

  20. 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-

  1. 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

  2. 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

  3. 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,...

  4. 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,...

  5. 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...

  6. 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,”

  7. 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...

  8. Sandia National Laboratories: smart grid integration

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

    Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The Vermont RTC...

  9. NREL: Transmission Grid Integration - Active Power Controls

    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 Available forVoucherPossibleNew

  10. NREL: Transmission Grid Integration - Eastern Renewable Generation

    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 Available forVoucherPossibleNewData

  11. NREL: Transmission Grid Integration - FESTIV Model

    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 Available

  12. NREL: Transmission Grid Integration - Generator Modeling

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

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  13. NREL: Transmission Grid Integration - Research Staff

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

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  14. NREL: Transmission Grid Integration - Wholesale Electricity Market

    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 andStudy Phase

  15. NREL: Transmission Grid Integration - Working With Us

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

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  16. NREL: Transmission Grid Integration Home Page

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

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  17. NREL: Transportation Research - Electric Vehicle Grid Integration

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

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  18. 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

  19. Sandia National Laboratories - Grid Integration Collaborations

    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 npitcheSandian Wins Award inPHOTOVOLTAIC- Grid

  20. 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

  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 ToDecisionDistribution Grid

  2. Request for Comments on the Electric Grid Integration Technical...

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

    Comments on the Electric Grid Integration Technical Workshops Summaries: Federal Register Notice Volume 78, No. 35 - Feb. 21, 2013 Request for Comments on the Electric Grid...

  3. Integration Technology for PHEV-Grid-Connectivity, with Support...

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

    Technology for PHEV-Grid-Connectivity, with Support for SAE Electrical Standards Integration Technology for PHEV-Grid-Connectivity, with Support for SAE Electrical Standards 2010...

  4. NREL: Transmission Grid Integration - Data and Resources

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

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  5. NREL: Transmission Grid Integration - Energy Imbalance Markets

    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 Available forVoucherPossibleNewDataEnergy

  6. NREL: Transmission Grid Integration - Hawaii Solar Integration Study

    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

  7. NREL: Transmission Grid Integration - Oahu Wind Integration and

    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

  8. NREL: Transmission Grid Integration - Solar Integration National Dataset

    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 AvailableForecastingNewsToolkit

  9. NREL: Transmission Grid Integration - Solar Power Data for 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 Possible for Renewable Energy: Grid IntegrationReport

  10. NREL: Transmission Grid Integration - Western Wind and Solar 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 Possible for Renewable Energy: Grid IntegrationReportTransmission Planning and

  11. NREL: Transmission Grid Integration - Western Wind and Solar 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 Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy Phase 2

  12. NREL: Wind Research - 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 Science (SC)Integrated CodesTransparency VisitSilver Toyota Prius being driven in frontDataGet

  13. State Grid and Shenzhen Energy Group Biomass Engineering Technology...

    Open Energy Info (EERE)

    Energy Group Biomass Engineering Technology Research Centre Jump to: navigation, search Name: State Grid and Shenzhen Energy Group Biomass Engineering Technology Research Centre...

  14. Sustainability of Large Deployment of Photovoltaics: Environmental & Grid Integration Research

    E-Print Network [OSTI]

    Ohta, Shigemi

    1 Sustainability of Large Deployment of Photovoltaics: Environmental & Grid Integration Research Sustainability of Large Deployment of Photovoltaics: Environmental & Grid Integration Research www Photovoltaics Environmental Research Center Brookhaven National Laboratory #12;2 Source: PV Market Outlook

  15. Role of Smarter Grids in Variable Renewable Resource Integration (Presentation)

    SciTech Connect (OSTI)

    Miller, M.

    2012-07-01T23:59:59.000Z

    This presentation discusses the role of smarter grids in variable renewable resource integration and references material from a forthcoming ISGAN issue paper: Smart Grid Contributions to Variable Renewable Resource Integration, co-written by the presenter and currently in review.

  16. 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

  17. 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:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitche ThisStrategicThirdSandianSandia

  18. NREL: Transmission Grid Integration - Western Wind and Solar 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 Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy Phase 2Study

  19. 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

  20. Advanced Grid Integration (AGI) | 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 Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartment ofATVM LoanActiveMission » Advanced Grid Integration

  1. SensorGrid: Integrating Sensor Networks and Grid Computing Chen-Khong Tham1

    E-Print Network [OSTI]

    Melbourne, University of

    SensorGrid: Integrating Sensor Networks and Grid Computing Chen-Khong Tham1 and Rajkumar Buyya2 Keywords: Sensors, Sensor Networks, Grid computing, SensorML, SensorWeb. 1. Introduction Recent advances in electronic circuit miniaturization and micro-electromechanical systems (MEMS) have led to the creation

  2. Electric Vehicle Grid Integration for Sustainable Military Installations (Presentation)

    SciTech Connect (OSTI)

    Simpson, M.

    2011-05-05T23:59:59.000Z

    This presentation discusses electric vehicle grid integration for sustainable military installations. Fort Carson Military Reservation in Colorado Springs is used as a case study.

  3. 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

  4. A Middleware Substrate for Integrating Services on the Grid

    E-Print Network [OSTI]

    Daniels, Jeffrey J.

    A Middleware Substrate for Integrating Services on the Grid Viraj Bhat and Manish Parashar://www.caip.rutgers.edu/TASSL Abstract. In this paper we present the design, implementation and evaluation of the Grid-enabled Discover middleware substrate. The mid- dleware substrate enables Grid infrastructure services provided by the Globus

  5. Power Grid Voltage Integrity Verification Department of ECE

    E-Print Network [OSTI]

    Najm, Farid N.

    Power Grid Voltage Integrity Verification Maha Nizam Department of ECE University of Toronto devgan@magma-da.com ABSTRACT Full-chip verification requires one to check if the power grid is safe, i.e., if the voltage drop on the grid does not exceed a cer- tain threshold. The traditional simulation-based solution

  6. Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal Scheduler Optimal Design of Energy-Efficient Integrated Distillation Processes for

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Scheduler Optimal Design of Energy-Efficient Integrated Distillation Processes for Multicomponent Ideal Optimal design of energy-efficient integrated distillation processes for multicomponent ideal and non, The Netherlands The dividing wall distillation columns (DWC) find increased use in industrial practice

  7. Chaninik Wind Group Wind Heat Smart Grids Final Report

    SciTech Connect (OSTI)

    Meiners, Dennis [Technical Contact

    2013-06-29T23:59:59.000Z

    Final report summarizes technology used, system design and outcomes for US DoE Tribal Energy Program award to deploy Wind Heat Smart Grids in the Chaninik Wind Group communities in southwest Alaska.

  8. Smart Grid Savings and Grid Integration of Renewables in Idaho

    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 742EnergyOn April 23, 2014,Zaleski - PolicyWork Force withNonprofit---5---12DOESmartthe 1 Smart Grid

  9. Sandia National Laboratories: transmission 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...

  10. Grid Integration of Aggregated Demand Response, Part I: Load Availability

    E-Print Network [OSTI]

    LBNL-6417E Grid Integration of Aggregated Demand Response, Part I: Load Availability Profiles Resources 4 #12;#12;#12;CHAPTER 3: Results: DR Profiles 3.1 Projected Demand Response Availability in 2020

  11. 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.

  12. Rethinking the Future Grid: Integrated Nuclear Renewable Energy...

    Office of Scientific and Technical Information (OSTI)

    Rethinking the Future Grid: Integrated Nuclear Renewable Energy Systems: Preprint Re-direct Destination: The U.S. DOE is supporting research and development that could lead to more...

  13. NREL: Transmission Grid Integration - Issues Affecting Renewable 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's Possible for Renewable Energy: Grid IntegrationReport AvailableForecasting NRELIntegration

  14. NREL: Transmission Grid Integration - NREL Study Indicates Economic

    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

  15. NREL: Transmission Grid Integration - Transmission Planning and Analysis

    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 Thumbnail

  16. Market-Based Indian Grid Integration Study Options: Preprint

    SciTech Connect (OSTI)

    Stoltenberg, B.; Clark, K.; Negi, S. K.

    2012-03-01T23:59:59.000Z

    The Indian state of Gujarat is forecasting solar and wind generation expansion from 16% to 32% of installed generation capacity by 2015. Some states in India are already experiencing heavy wind power curtailment. Understanding how to integrate variable generation (VG) into the grid is of great interest to local transmission companies and India's Ministry of New and Renewable Energy. This paper describes the nature of a market-based integration study and how this approach, while new to Indian grid operation and planning, is necessary to understand how to operate and expand the grid to best accommodate the expansion of VG. Second, it discusses options in defining a study's scope, such as data granularity, generation modeling, and geographic scope. The paper also explores how Gujarat's method of grid operation and current system reliability will affect how an integration study can be performed.

  17. Solar Grid Integration Industrial Research Perspectives

    E-Print Network [OSTI]

    Homes, Christopher C.

    with 25 inverters) Substation 1 Substation 2 Solar Power Generation Wind Generation 100 MW Wide variety of power levels and grid connections #12;5 Presenter and Event 3/30/2011 PV Generation Segmentation 1 and Event 3/30/2011 Essential PV power plant features Reliable power conversion Extensive service network

  18. Integrated modeling of the electric grid, communications, and control

    SciTech Connect (OSTI)

    Nutaro, James J [ORNL; Miller, Laurie E [ORNL; Shankar, Mallikarjun [ORNL; Kuruganti, Phani Teja [ORNL

    2006-01-01T23:59:59.000Z

    We present a central concern in modeling and simulating electric grids and the information infrastructure that monitors and controls them: hybrid modeling and simulation. We argue that imminent modernizations and new technologies will require a joint (hybrid) modeling of the continuous world of power systems and the discrete world of events sparked by external contingencies, and by communication, computation, and control operations. The power systems community requires methods to model and simulate hybrid scenarios for systems as large and complex as the electric grid. We discuss an approach based on DEVS and present a scenario in which the integrated information and electric grid infrastructures address a frequency maintenance problem.

  19. Integrating Grid Services into the Cray XT4 Environment

    SciTech Connect (OSTI)

    NERSC; Cholia, Shreyas; Lin, Hwa-Chun Wendy

    2009-05-01T23:59:59.000Z

    The 38640 core Cray XT4"Franklin" system at the National Energy Research Scientific Computing Center (NERSC) is a massively parallel resource available to Department of Energy researchers that also provides on-demand grid computing to the Open Science Grid. The integration of grid services on Franklin presented various challenges, including fundamental differences between the interactive and compute nodes, a stripped down compute-node operating system without dynamic library support, a shared-root environment and idiosyncratic application launching. Inour work, we describe how we resolved these challenges on a running, general-purpose production system to provide on-demand compute, storage, accounting and monitoring services through generic grid interfaces that mask the underlying system-specific details for the end user.

  20. Smart Grid Integrity Attacks: Characterizations and Countermeasures

    SciTech Connect (OSTI)

    Annarita Giani; Eilyan Bitar; Miles McQueen; Pramod Khargonekar; Kameshwar Poolla

    2011-10-01T23:59:59.000Z

    Real power injections at loads and generators, and real power flows on selected lines in a transmission network are monitored, transmitted over a SCADA network to the system operator, and used in state estimation algorithms to make dispatch, re-balance and other energy management system [EMS] decisions. Coordinated cyber attacks of power meter readings can be arranged to be undetectable by any bad data detection algorithm. These unobservable attacks present a serious threat to grid operations. Of particular interest are sparse attacks that involve the compromise of a modest number of meter readings. An efficient algorithm to find all unobservable attacks [under standard DC load flow approximations] involving the compromise of exactly two power injection meters and an arbitrary number of power meters on lines is presented. This requires O(n2m) flops for a power system with n buses and m line meters. If all lines are metered, there exist canonical forms that characterize all 3, 4, and 5-sparse unobservable attacks. These can be quickly detected in power systems using standard graph algorithms. Known secure phase measurement units [PMUs] can be used as countermeasures against an arbitrary collection of cyber attacks. Finding the minimum number of necessary PMUs is NP-hard. It is shown that p + 1 PMUs at carefully chosen buses are sufficient to neutralize a collection of p cyber attacks.

  1. Integration of Smart Home Data with Simulated Smart Grid

    E-Print Network [OSTI]

    Collins, Gary S.

    Integration of Smart Home Data with Simulated Smart Grid Introduction Data was generated using The Energy Detective (TED 5000) Data was exported to then to the RTDS Data from the smart home lab from smart home to simulate real-life scenario Real Time Digital Simulator (RTDS) RTDS is a real time

  2. Distributed Energy Systems Integration Group (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-10-01T23:59:59.000Z

    Factsheet developed to describe the activites of the Distributed Energy Systems Integration Group within NREL's Electricity, Resources, and Buildings Systems Integration center.

  3. NREL: Wind Research - Grid Integration of Offshore Wind

    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: GridTruck Platooning Testing Photo ofResearchFAST Revs Up

  4. Agent-Grid Integration Ontology Frederic Duvert, Clement Jonquet, Pascal Dugenie, and Stefano A. Cerri

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Agent-Grid Integration Ontology Frederic Duvert, Clement Jonquet, Pascal Dugenie, and Stefano A, jonquet, dugenie, cerri}@lirmm.fr Abstract. The integration of GRID and MAS (Multi-Agents Systems) is an active research topic. We have recently proposed the Agent-Grid Integration Lan- guage, to describe

  5. Metrics for Assessment of Smart Grid Data Integrity Attacks

    SciTech Connect (OSTI)

    Annarita Giani; Miles McQueen; Russell Bent; Kameshwar Poolla; Mark Hinrichs

    2012-07-01T23:59:59.000Z

    There is an emerging consensus that the nation’s electricity grid is vulnerable to cyber attacks. This vulnerability arises from the increasing reliance on using remote measurements, transmitting them over legacy data networks to system operators who make critical decisions based on available data. Data integrity attacks are a class of cyber attacks that involve a compromise of information that is processed by the grid operator. This information can include meter readings of injected power at remote generators, power flows on transmission lines, and relay states. These data integrity attacks have consequences only when the system operator responds to compromised data by redispatching generation under normal or contingency protocols. These consequences include (a) financial losses from sub-optimal economic dispatch to service loads, (b) robustness/resiliency losses from placing the grid at operating points that are at greater risk from contingencies, and (c) systemic losses resulting from cascading failures induced by poor operational choices. This paper is focused on understanding the connections between grid operational procedures and cyber attacks. We first offer two examples to illustrate how data integrity attacks can cause economic and physical damage by misleading operators into taking inappropriate decisions. We then focus on unobservable data integrity attacks involving power meter data. These are coordinated attacks where the compromised data are consistent with the physics of power flow, and are therefore passed by any bad data detection algorithm. We develop metrics to assess the economic impact of these attacks under re-dispatch decisions using optimal power flow methods. These metrics can be use to prioritize the adoption of appropriate countermeasures including PMU placement, encryption, hardware upgrades, and advance attack detection algorithms.

  6. Articles about Grid Integration and Transmission | 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 Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartment ofATVMAgriculturalAn1(BENEFIT)Grid Integration and

  7. Integration of Computing and Information on Grids Geoffrey Fox

    E-Print Network [OSTI]

    by Fran Berman, Tony Hey and myself. (http://www.grid2002.org/ ) · Grids support e-Science representing

  8. GridOPTICS(TM) A Novel Software Framework for Integrating Power Grid Data Storage, Management and Analysis

    SciTech Connect (OSTI)

    Gorton, Ian; Yin, Jian; Akyol, Bora A.; Ciraci, Selim; Critchlow, Terence; Liu, Yan; Gibson, Tara D.; Purohit, Sumit; Sharma, Poorva; Vlachopoulou, Maria

    2013-01-09T23:59:59.000Z

    This paper describes the architecture and design of GridOPTICSTM, a novel software framework to integrate a collection of software tools developed by PNNL’s Future Power Grid Initiative (FPGI) into a coherent, powerful operations and planning tool for the power grid of the future. GridOPTICSTM enables plug-and-play of various analysis, modeling and visualization software tools for fast and accurate control of the power grid. To bridge the data access for different control purposes, GridOPTICSTM provides a scalable and thin layer of event processing that hides the complexity of data storage and management. The initial prototype of GridOPTICSTM was demonstrated with several use cases from PNNL’s FPGI.

  9. Rethinking the Future Grid: Integrated Nuclear Renewable Energy Systems: Preprint

    SciTech Connect (OSTI)

    Bragg-Sitton, S. M.; Boardman, R.; Ruth, M.; Zinaman, O.; Forsberg, C.

    2015-01-01T23:59:59.000Z

    The U.S. DOE is supporting research and development that could lead to more efficient utilization of clean energy generation sources, including renewable and nuclear options, to meet both grid demand and thermal energy needs in the industrial sector. One concept under consideration by the DOE-NE and DOE-EERE is tighter coupling of nuclear and renewable energy sources in a manner that better optimizes energy use for the combined electricity, industrial manufacturing, and transportation sectors. This integration concept has been referred to as a 'hybrid system' that is capable of apportioning thermal and electrical energy to first meet the grid demand (with appropriate power conversion systems), then utilizing excess thermal and, in some cases, electrical energy to drive a process that results in an additional product.

  10. NREL: Transmission Grid Integration - Western Wind and Solar 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 Science (SC)Integrated CodesTransparency Visit |InfrastructureAerialWork-for-OthersStudy

  11. The Role of Smart Grids in Integrating Renewable 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 OurThe Iron Spin Transition in the Earth's LowerFacilityThe ResearchDepartment

  12. 2014-09-30 Issuance: Buildings-to-Grid Integration and Related...

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

    09-30 Issuance: Buildings-to-Grid Integration and Related Areas of Research; Notice of Availability and Request for Public Comment 2014-09-30 Issuance: Buildings-to-Grid...

  13. RETHINKING THE FUTURE GRID: INTEGRATED NUCLEAR-RENEWABLE ENERGY SYSTEMS

    SciTech Connect (OSTI)

    S.M. Bragg-Sitton; R. Boardman

    2014-12-01T23:59:59.000Z

    The 2013 electricity generation mix in the United States consisted of ~13% renewables (hydropower, wind, solar, geothermal), 19% nuclear, 27% natural gas, and 39% coal. In the 2011 State of the Union Address, President Obama set a clean energy goal for the nation: “By 2035, 80 percent of America’s electricity will come from clean energy sources. Some folks want wind and solar. Others want nuclear, clean coal and natural gas. To meet this goal we will need them all.” The U.S. Department of Energy (DOE) Offices of Nuclear Energy (NE) and Energy Efficiency and Renewable Energy (EERE) recognize that “all of the above” means that we are called to best utilize all available clean energy sources. To meet the stated environmental goals for electricity generation and for the broader energy sector, there is a need to transform the energy infrastructure of the U.S. and elsewhere. New energy systems must be capable of significantly reducing environmental impacts in an efficient and economically viable manner while utilizing both hydrocarbon resources and clean energy generation sources. The U.S. DOE is supporting research and development that could lead to more efficient utilization of clean energy generation sources, including renewable and nuclear options, to meet both grid demand and thermal energy needs in the industrial sector. A concept being advanced by the DOE-NE and DOE-EERE is tighter coupling of nuclear and renewable energy sources in a manner that better optimizes energy use for the combined electricity, industrial manufacturing, and the transportation sectors. This integration concept has been referred to as a “hybrid system” that is capable of apportioning thermal and electrical energy to first meet the grid demand (with appropriate power conversion systems), then utilizing excess thermal and, in some cases, electrical energy to drive a process that results in an additional product. For the purposes of the present work, the hybrid system would integrate two or more energy resources to generate two or more products, one of which must be an energy commodity, such as electricity or transportation fuel. Subsystems would be integrated ‘‘behind’’ the electrical transmission bus and would be comprised of two or more energy conversion subsystems that have traditionally been separate or isolated. Energy flows would be dynamically apportioned as necessary to meet grid demand via a single, highly responsive connection to the grid that provides dispatchable electricity while capital-intensive generation assets operate at full capacity. Candidate region-specific hybrid energy systems selected for further study and figures of merit that will be used to assess system performance will be presented.

  14. Integrating Grid Services into the Cray XT4 Environment

    E-Print Network [OSTI]

    Cholia, Shreyas

    2010-01-01T23:59:59.000Z

    with the system side of the grid work. Before joining NERSC,Franklin login node for grid access. This will simplify thethe feasibility of grid VO based project accounts to share

  15. 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

  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. Solar Energy Grid Integration Systems -- Energy Storage (SEGIS-ES).

    SciTech Connect (OSTI)

    Hanley, Charles J.; Ton, Dan T. (U.S. Department of Energy, Washington, D.C.); Boyes, John D.; Peek, Georgianne Huff

    2008-07-01T23:59:59.000Z

    This paper describes the concept for augmenting the SEGIS Program (an industry-led effort to greatly enhance the utility of distributed PV systems) with energy storage in residential and small commercial applications (SEGIS-ES). The goal of SEGIS-ES is to develop electrical energy storage components and systems specifically designed and optimized for grid-tied PV applications. This report describes the scope of the proposed SEGIS-ES Program and why it will be necessary to integrate energy storage with PV systems as PV-generated energy becomes more prevalent on the nation's utility grid. It also discusses the applications for which energy storage is most suited and for which it will provide the greatest economic and operational benefits to customers and utilities. Included is a detailed summary of the various storage technologies available, comparisons of their relative costs and development status, and a summary of key R&D needs for PV-storage systems. The report concludes with highlights of areas where further PV-specific R&D is needed and offers recommendations about how to proceed with their development.

  18. Utility Variable Generation Integration Group Fall Technical...

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

    15, 2014 9:00AM CDT to October 17, 2014 3:00PM CDT The Utility Variable Generation Integration Group (UVIG) Fall Technical Workshop in San Antonio, Texas will provide attendees...

  19. Shane Canon! Group Leader for Technology Integration Biosciences

    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! Group Leader for

  20. European Hydrogen Energy Conference, Maastricht, 18 -22 June 2007 Hydrogen for Grid Integration

    E-Print Network [OSTI]

    Heinemann, Detlev

    that an increasing need for balancing power will result from the advent of large offshore wind parks in the North Sea Integration HYDROGEN AS A MEANS TO CONTROL AND INTEGRATE WIND POWER INTO ELECTRICITY GRIDS Robert Steinberger of wind energy into electricity grids will pose future challenges as the levels of production rise, power

  1. Integrated Retail and Wholesale (IRW) Power System Operations with Smart-Grid Functionality

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Integrated Retail and Wholesale (IRW) Power System Operations with Smart-Grid Functionality Leigh of the Integrated Retail/Wholesale (IRW) project at Iowa State University · IRW Test Bed development · Integration-NE, MISO, XM, RTE, MEC IRW Project: Integrated Retail/Wholesale Power System Operation with Smart

  2. Hagrid, a grid computing solution chosen for the Bioinformatics and Evolutionary Genomics group at the University of Ghent.

    E-Print Network [OSTI]

    Gent, Universiteit

    Hagrid, a grid computing solution chosen for the Bioinformatics and Evolutionary Genomics group up "cheap" solutions based on the concept known as grid computing. Grid computing can be roughly organization such as CERN is now setting up grid solutions to manage computing needs. Although the general

  3. 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

  4. Grid Integration and the Carrying Capacity of the U.S. Grid to Incorporate Variable Renewable 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 YourTransport(Fact Sheet), GeothermalGrid Integration and the Carrying Capacity of the U.S. Grid

  5. 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

  6. Integration of decentralized generators with the electric power grid

    E-Print Network [OSTI]

    Finger, Susan

    1981-01-01T23:59:59.000Z

    This report develops a new methodology for studying the economic interaction of customer-owned electrical generators with the central electric power grid. The purpose of the report is to study the reciprocal effects of the ...

  7. Solar Electric Grid Integration- Advanced Concepts (SEGIS-AC) Funding Opportunity

    Broader source: Energy.gov [DOE]

    Through the Solar Electric Grid Integration – Advanced Concepts (SEGIS-AC) program, DOE is funding solar projects that are targeting ways to develop power electronics and build smarter, more...

  8. 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.

  9. Interim Test Procedures for Evaluating Electrical Performance and Grid Integration of Vehicle-to-Grid Applications

    SciTech Connect (OSTI)

    Chakraborty, S.; Kramer, W.; Kroposki, B.; Martin, G.; McNutt, P.; Kuss, M.; Markel, T.; Hoke, A.

    2011-06-01T23:59:59.000Z

    The objective of this report is to provide a test plan for V2G testing. The test plan is designed to test and evaluate the vehicle's power electronics capability to provide power to the grid, and to evaluate the vehicle's ability to connect and disconnect from the utility according to a subset of the IEEE Std. 1547 tests.

  10. An integrated security framework for GOSS power grid analytics platform

    SciTech Connect (OSTI)

    Gibson, Tara D.; Ciraci, Selim; Sharma, Poorva; Allwardt, Craig H.; Rice, Mark J.; Akyol, Bora A.

    2014-06-23T23:59:59.000Z

    In power grid operations, security is an essential component for any middleware platform. Security protects data against unwanted access as well as cyber attacks. GridOpticsTM Software System (GOSS) is an open source power grid analytics platform that facilitates ease of access between applications and data sources and promotes development of advanced analytical applications. GOSS contains an API that abstracts many of the difficulties in connecting to various heterogeneous data sources. A number of applications and data sources have already been implemented to demonstrate functionality and ease of use. A security framework has been implemented which leverages widely accepted, robust JavaTM security tools in a way such that they can be interchanged as needed. This framework supports the complex fine-grained, access control rules identified for the diverse data sources already in GOSS. Performance and reliability are also important considerations in any power grid architecture. An evaluation is done to determine the overhead cost caused by security within GOSS and ensure minimal impact to performance.

  11. NREL's Grid Integration Lab Nominated for Prestigious Project...

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

    for Prestigious Project Management Award November 3, 2014 - 11:48am Addthis The new Energy Systems Integration Facility (ESIF) at the Energy Departments National...

  12. Sandia Energy - Solar Energy Grid Integration Systems (SEGIS)

    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 BarrierSolarSolarSolar

  13. Grid Integration and the Carrying Capacity of the U.S. Grid to...

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

    D.; King, J.; Mousseau, T.; Zavadil, R.; Heath, B.; Hecker, L.; Lawhorn, J.; Osborn, D.; Smith, J.T.; Hunt, R.; Moland, G. (2011). Eastern Wind Integration and Transmission Study....

  14. NREL Confirms Large Potential for Grid Integration of Wind, Solar Power (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01T23:59:59.000Z

    To fully harvest the nation's bountiful wind and solar resources, it is critical to know how much electrical power from these renewable resources could be integrated reliably into the grid. To inform the discussion about the potential of such variable sources, the National Renewable Energy Laboratory (NREL) launched two key regional studies, examining the east and west sections of the U.S. power grid. The studies show that it is technically possible for U.S. power systems to integrate 20%-35% renewable electricity if infrastructure and operational improvements can be made.

  15. Integration of Distributed Energy The CERTS MicroGrid Concept

    E-Print Network [OSTI]

    the California Energy Commission passed upon the accuracy or adequacy of the information in this report. #12 Foundation's Power Systems Engineering Research Center, and Sandia National Laboratories. #12;LBNL-50829 Systems Integration Program Public Interest Energy Research California Energy Commission Prepared

  16. EECS 498 Special Topic Grid Integration of Alternative

    E-Print Network [OSTI]

    Eustice, Ryan

    . 7. Design of renewable energy systems using HOMER. 8. Plug-in electric vehicles: local and large with energy processing technologies that are required for power system connection. System integration issues will be addressed, with consideration given to impacts on current power system design philosophies and operating

  17. Multiple Timescale Dispatch and Scheduling for Stochastic Reliability in Smart Grids with Wind Generation Integration

    E-Print Network [OSTI]

    He, Miao; Zhang, Junshan

    2010-01-01T23:59:59.000Z

    Integrating volatile renewable energy resources into the bulk power grid is challenging, due to the reliability requirement that at each instant the load and generation in the system remain balanced. In this study, we tackle this challenge for smart grid with integrated wind generation, by leveraging multi-timescale dispatch and scheduling. Specifically, we consider smart grids with two classes of energy users - traditional energy users and opportunistic energy users (e.g., smart meters or smart appliances), and investigate pricing and dispatch at two timescales, via day-ahead scheduling and realtime scheduling. In day-ahead scheduling, with the statistical information on wind generation and energy demands, we characterize the optimal procurement of the energy supply and the day-ahead retail price for the traditional energy users; in realtime scheduling, with the realization of wind generation and the load of traditional energy users, we optimize real-time prices to manage the opportunistic energy users so as...

  18. Shaping Power System Inter-area Oscillations through Control Loops of Grid Integrated Wind Farms

    E-Print Network [OSTI]

    Gayme, Dennice

    Shaping Power System Inter-area Oscillations through Control Loops of Grid Integrated Wind Farms. However, in many situations, it may not be possible to site a wind farm at the location with the most desirable frequency response. Here, we show that one can design a wind farm controller to shape

  19. EWEC 2006 Scientific Track Advanced Forecast Systems for the Grid Integration of 25 GW

    E-Print Network [OSTI]

    Heinemann, Detlev

    forecasts, smoothing effects Abstract The economic success of offshore wind farms in liberalised electricity of offshore wind farms, their electricity production must be known well in advance to allow an efficient Oldenburg, Germany Key words: Offshore wind power, grid integration, short-term prediction, regional

  20. Procedure to Calculate NOx Reductions Using the Emissions & Generation Resource Integrated Database (E-Grid) Spreadsheet 

    E-Print Network [OSTI]

    Haberl, J. S.; Im, P.; Culp, C.; Yazdani, B.; Fitzpatrick, T.; Verdict, M.; Turner, W. D.

    2003-01-01T23:59:59.000Z

    and Generation Resource Integrated Database (E-GRID) is presented. This procedure is proposed for calculating county-wide NOx reductions in pounds per MWh for Energy Efficiency and Renewable Energy projects (EE/RE) implemented in each Power Control Area (PCA...

  1. U.S. Energy Infrastructure Investment: Large-Scale Integrated Smart Grid

    E-Print Network [OSTI]

    research on challenges facing the electric power industry and educating the next generation of powerU.S. Energy Infrastructure Investment: Large-Scale Integrated Smart Grid Solutions with High Penetration of Renewable Resources, Dispersed Generation, and Customer Participation White Paper Power Systems

  2. 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

  3. innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power

    E-Print Network [OSTI]

    innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power To fully harvest a database of potential wind power sites and detailed, time-dependent estimates of the power that would the nation's bountiful wind and solar resources, it is critical to know how much electrical power from

  4. How Do Wind and Solar Power Affect Grid Operations: The Western Wind and Solar Integration Study

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Freeman, L.; Miller, N.; Clark, K.; Piwko, R.

    2009-01-01T23:59:59.000Z

    The Western Wind and Solar Integration Study is one of the largest regional wind and solar integration studies to date, examining the operational impact of up to 35% wind, photovoltaics, and concentrating solar power on the WestConnect grid in Arizona, Colorado, Nevada, New Mexico, and Wyoming. This paper reviews the scope of the study, the development of wind and solar datasets, and the results to date on three scenarios.

  5. Utility Variable Generation Integration Group Fall O&M User Group...

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

    O&M User Group Meeting Utility Variable Generation Integration Group Fall O&M User Group Meeting October 1, 2014 7:00AM CDT to October 2, 2014 3:00PM CDT The Utility Variable...

  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. Grid-Integrated Fleet & Workplace Charging for Plug-in Electric Vehicles

    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 YourTransport(Fact Sheet), GeothermalGrid Integration and the Carrying Capacity

  8. Integrated Project Support Study Group : findings

    E-Print Network [OSTI]

    De Jonghe, J; Purvis, J; Smith, T; Van Uytvinck, E

    2006-01-01T23:59:59.000Z

    The challenges of the LHC project have lead CERN to produce a comprehensive set of project management tools covering engineering data management, project scheduling and costing, event management and document management. Each of these tools represents a significant and world-recognised advance in their respective domains. Reviewing the offering on the eve of LHC commissioning one can identify three major challenges: 1. How to integrate the tools to provide a uniform and integrated full-product lifecycle solution 2. How to evolve the functionality in certain areas to address weaknesses identified with our experience in constructing the LHC and integrate emerging industry best practices 3. How to coherently package the offering not just for future projects in CERN, but moreover in the context of providing a centre of excellence for worldwide collaboration in future HEP projects.

  9. SunEdison Photovoltaic Grid Integration Evaluation: Cooperative Research and Development Final Report, CRADA Number CRD-08-302

    SciTech Connect (OSTI)

    Kroposki, B.

    2012-09-01T23:59:59.000Z

    Under this Agreement, NREL will work with SunEdison to monitor and analyze the performance of photovoltaic (PV) systems as they relate to grid integration. Initially this project will examine the performance of PV systems with respect to evaluating the benefits and impacts on the electric power grid.

  10. Project/Research Opportunities Integrated Optoelectronics Group

    E-Print Network [OSTI]

    Das, Bijoy Krishna

    already succeeded to fabricate and characterize the single-mode ( ~ 1550 nm) SOI rib waveguides, integrated optical polarizer, compact directional coupler, 1X2 & 1X8 power splitters, 100 GHz ITU channel / Microelectronics Labs, Dept. of Electrical Engineering, IIT Madras. The rib waveguides used to develop

  11. Integrated Learning Environment for Smart Grid Security Kewen Wang, Yi Pan, Wen-Zhan Song

    E-Print Network [OSTI]

    Wang, Weichao

    . This smart grid emulator is named Smart-Grid Common Open Research Emulator (SCORE). It provides a platform

  12. A Grid & Place Cell Model of Path Integration Utilizing Phase Precession Versus Theta Neil Burgess12*, Caswell Barry123, Kathryn J Jeffery3, John O'Keefe2

    E-Print Network [OSTI]

    Burgess, Neil

    A Grid & Place Cell Model of Path Integration Utilizing Phase Precession Versus Theta Neil Burgess12*, Caswell Barry123, Kathryn J Jeffery3, John O'Keefe2 13Hz 7Hz 23Hz1m Grid cells in dorsomedial). Nearby grid cells have similar orientation and scale, but shifted to tile the environment B 1m Grid scale

  13. Message passing for integrating and assessing renewable generation in a redundant power grid

    SciTech Connect (OSTI)

    Zdeborova, Lenka [Los Alamos National Laboratory; Backhaus, Scott [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    A simplified model of a redundant power grid is used to study integration of fluctuating renewable generation. The grid consists of large number of generator and consumer nodes. The net power consumption is determined by the difference between the gross consumption and the level of renewable generation. The gross consumption is drawn from a narrow distribution representing the predictability of aggregated loads, and we consider two different distributions representing wind and solar resources. Each generator is connected to D consumers, and redundancy is built in by connecting R {le} D of these consumers to other generators. The lines are switchable so that at any instance each consumer is connected to a single generator. We explore the capacity of the renewable generation by determining the level of 'firm' generation capacity that can be displaced for different levels of redundancy R. We also develop message-passing control algorithm for finding switch sellings where no generator is overloaded.

  14. Solar energy grid integration systems : final report of the Florida Solar Energy Center Team.

    SciTech Connect (OSTI)

    Ropp, Michael (Northern Plains Power Technologies, Brookings, SD); Gonzalez, Sigifredo; Schaffer, Alan (Lakeland Electric Utilities, Lakeland, FL); Katz, Stanley (Satcon Technology Corporation, Boston, MA); Perkinson, Jim (Satcon Technology Corporation, Boston, MA); Bower, Ward Isaac; Prestero, Mark (Satcon Technology Corporation, Boston, MA); Casey, Leo (Satcon Technology Corporation, Boston, MA); Moaveni, Houtan (Florida Solar Energy Center of the University of Central Florida, Cocoa, FL); Click, David (Florida Solar Energy Center of the University of Central Florida, Cocoa, FL); Davis, Kristopher (Florida Solar Energy Center of the University of Central Florida, Cocoa, FL); Reedy, Robert (Florida Solar Energy Center of the University of Central Florida, Cocoa, FL); Kuszmaul, Scott S.; Sena-Henderson, Lisa; David, Carolyn; Akhil, Abbas Ali

    2012-03-01T23:59:59.000Z

    Initiated in 2008, the Solar Energy Grid Integration Systems (SEGIS) program is a partnership involving the U.S. DOE, Sandia National Laboratories, private sector companies, electric utilities, and universities. Projects supported under the program have focused on the complete-system development of solar technologies, with the dual goal of expanding utility-scale penetration and addressing new challenges of connecting large-scale solar installations in higher penetrations to the electric grid. The Florida Solar Energy Center (FSEC), its partners, and Sandia National Laboratories have successfully collaborated to complete the work under the third and final stage of the SEGIS initiative. The SEGIS program was a three-year, three-stage project that include conceptual design and market analysis in Stage 1, prototype development and testing in Stage 2, and moving toward commercialization in Stage 3. Under this program, the FSEC SEGIS team developed a comprehensive vision that has guided technology development that sets one methodology for merging photovoltaic (PV) and smart-grid technologies. The FSEC team's objective in the SEGIS project is to remove barriers to large-scale general integration of PV and to enhance the value proposition of photovoltaic energy by enabling PV to act as much as possible as if it were at the very least equivalent to a conventional utility power plant. It was immediately apparent that the advanced power electronics of these advanced inverters will go far beyond conventional power plants, making high penetrations of PV not just acceptable, but desirable. This report summarizes a three-year effort to develop, validate and commercialize Grid-Smart Inverters for wider photovoltaic utilization, particularly in the utility sector.

  15. Modeling Framework and Validation of a Smart Grid and Demand Response System for Wind Power Integration

    SciTech Connect (OSTI)

    Broeer, Torsten; Fuller, Jason C.; Tuffner, Francis K.; Chassin, David P.; Djilali, Ned

    2014-01-31T23:59:59.000Z

    Electricity generation from wind power and other renewable energy sources is increasing, and their variability introduces new challenges to the power system. The emergence of smart grid technologies in recent years has seen a paradigm shift in redefining the electrical system of the future, in which controlled response of the demand side is used to balance fluctuations and intermittencies from the generation side. This paper presents a modeling framework for an integrated electricity system where loads become an additional resource. The agent-based model represents a smart grid power system integrating generators, transmission, distribution, loads and market. The model incorporates generator and load controllers, allowing suppliers and demanders to bid into a Real-Time Pricing (RTP) electricity market. The modeling framework is applied to represent a physical demonstration project conducted on the Olympic Peninsula, Washington, USA, and validation simulations are performed using actual dynamic data. Wind power is then introduced into the power generation mix illustrating the potential of demand response to mitigate the impact of wind power variability, primarily through thermostatically controlled loads. The results also indicate that effective implementation of Demand Response (DR) to assist integration of variable renewable energy resources requires a diversity of loads to ensure functionality of the overall system.

  16. 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

    63  Off?Grid (Stand?Alone) PV Power System not well established. OFF-GRID (STAND-ALONE) PV POWER SYSTEMvariability characteristics of off-grid PV power systems and

  17. 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

    15,1998 pp. 1424-1431 [140] Grid 2020: Towards a Policy ofInverter connected to the Grid via LCL Filter Papavasiliou,Act, Title XIII- Smart Grid, Section 1301-Statement of

  18. The Adams-Bashforth-Moulton Integration Methods Generalized to an Adaptive Grid

    E-Print Network [OSTI]

    A. P. Hayes

    2011-04-16T23:59:59.000Z

    We present a generalization of the Adams-Bashforth-Moulton predictor-corrector numerical integration methods to an adaptive grid. The step size may be chosen dynamically in order to maintain a desired relative magnitude of error in each step. We demonstrate that the methods remain convergent to the expected degree, and apply various methods to the famous problem of determining the maximum possible mass of a neutron star supported by pure fermionic exclusion pressure. We reproduce the Tolman-Oppenheimer-Volkoff result of 0.71 solar masses using only 23 integration steps, and reproducing both mass and radius within 1% requires 27. We also present various optimizations and features of our implementation.

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. Quantifiably secure power grid operation, management, and evolution : a study of uncertainties affecting the grid integration of renewables.

    SciTech Connect (OSTI)

    Gray, Genetha Anne; Watson, Jean-Paul [Sandia National Laboratories, Albuquerque, NM; Silva Monroy, Cesar Augusto [Sandia National Laboratories, Albuquerque, NM; Gramacy, Robert B. [University of Chicago, Chicago, IL

    2013-09-01T23:59:59.000Z

    This report summarizes findings and results of the Quantifiably Secure Power Grid Operation, Management, and Evolution LDRD. The focus of the LDRD was to develop decisionsupport technologies to enable rational and quantifiable risk management for two key grid operational timescales: scheduling (day-ahead) and planning (month-to-year-ahead). Risk or resiliency metrics are foundational in this effort. The 2003 Northeast Blackout investigative report stressed the criticality of enforceable metrics for system resiliency - the grid's ability to satisfy demands subject to perturbation. However, we neither have well-defined risk metrics for addressing the pervasive uncertainties in a renewable energy era, nor decision-support tools for their enforcement, which severely impacts efforts to rationally improve grid security. For day-ahead unit commitment, decision-support tools must account for topological security constraints, loss-of-load (economic) costs, and supply and demand variability - especially given high renewables penetration. For long-term planning, transmission and generation expansion must ensure realized demand is satisfied for various projected technological, climate, and growth scenarios. The decision-support tools investigated in this project paid particular attention to tailoriented risk metrics for explicitly addressing high-consequence events. Historically, decisionsupport tools for the grid consider expected cost minimization, largely ignoring risk and instead penalizing loss-of-load through artificial parameters. The technical focus of this work was the development of scalable solvers for enforcing risk metrics. Advanced stochastic programming solvers were developed to address generation and transmission expansion and unit commitment, minimizing cost subject to pre-specified risk thresholds. Particular attention was paid to renewables where security critically depends on production and demand prediction accuracy. To address this concern, powerful filtering techniques for spatio-temporal measurement assimilation were used to develop short-term predictive stochastic models. To achieve uncertaintytolerant solutions, very large numbers of scenarios must be simultaneously considered. One focus of this work was investigating ways of reasonably reducing this number.

  4. 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

  5. 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

  6. Sodium-Beta Batteries for Grid-Scale Storage: Planar Sodium-Beta Batteries for Renewable Integration and Grid Applications

    SciTech Connect (OSTI)

    None

    2010-02-01T23:59:59.000Z

    Broad Funding Opportunity Announcement Project: EaglePicher is developing a sodium-beta alumina (Na-Beta) battery for grid-scale energy storage. High-temperature Na-Beta batteries are a promising grid-scale energy storage technology, but existing approaches are expensive and unreliable. EaglePicher has modified the shape of the traditional, tubular-shaped Na-Beta battery. It is using an inexpensive stacked design to improve performance at lower temperatures, leading to a less expensive overall storage technology. The new design greatly simplifies the manufacturing process for beta alumina membranes (a key enabling technology), providing a subsequent pathway to the production of scalable, modular batteries at half the cost of the existing tubular designs.

  7. 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.

  8. Grid Integration and the Carrying Capacity of the U.S. Grid to Incorporate Variable Renewable 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: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heaton Armed Services U.S.Gregory J.VehiclesGrid

  9. 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,...

  10. From Access and Integration to Mining of Secure Genomic Data Sets across the Grid

    E-Print Network [OSTI]

    Sinnott, R.O.

    Sinnott,R.O. Future Generation of Computer Systems, Special Edition on Life Science Grids for Biomedicine and Bioinformatics

  11. A Case Study of Wave Power Integration into the Ucluelet Area Electrical Grid Louise Anne St.Germain

    E-Print Network [OSTI]

    Victoria, University of

    as a renewable energy resource on Vancouver Island, specifically in the Tofino/Ucluelet area. A model of a waveA Case Study of Wave Power Integration into the Ucluelet Area Electrical Grid by Louise Anne St of wave power projects on Vancouver Island. Supervisors: Dr. Andrew Rowe, (Department of Mechanical

  12. The challenges and policy options for integrating plug-in hybrid electric vehicle into the electric grid

    SciTech Connect (OSTI)

    Srivastava, Anurag K.; Annabathina, Bharath; Kamalasadan, Sukumar

    2010-04-15T23:59:59.000Z

    Plug-in hybrid electric vehicle may be prime candidates for the next generation of vehicles, but they offer several technological and economical challenges. This article assesses current progress in PHEV technology, market trends, research needs, challenges ahead and policy options for integrating PHEVs into the electric grid. (author)

  13. Scaling Up Renewable Energy Generation: Aligning Targets and Incentives with Grid Integration Considerations, Greening The Grid (Fact Sheet), NREL (National Renewable Energy Laboratory)

    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 PossibleRadiationImplementingnpitcheResearch Briefs TheSanket A.LittleFY13 |SawteethDoug

  14. Empirical Analysis of the Variability of Wind Generation in India: Implications for Grid Integration

    SciTech Connect (OSTI)

    Phadke, Amol; Abhyankar, NIkit; Rao, Poorvi

    2014-06-17T23:59:59.000Z

    We analyze variability in load and wind generation in India to assess its implications for grid integration of large scale wind projects using actual wind generation and load data from two states in India, Karnataka and Tamil Nadu. We compare the largest variations in load and net load (load ?wind, i.e., load after integrating wind) that the generation fleet has to meet. In Tamil Nadu, where wind capacity is about 53percent of the peak demand, we find that the additional variation added due to wind over the current variation in load is modest; if wind penetration reaches 15percent and 30percent by energy, the additional hourly variation is less than 0.5percent and 4.5percent of the peak demand respectively for 99percent of the time. For wind penetration of 15percent by energy, Tamil Nadu system is found to be capable of meeting the additional ramping requirement for 98.8percent of the time. Potential higher uncertainty in net load compared to load is found to have limited impact on ramping capability requirements of the system if coal plants can me ramped down to 50percent of their capacity. Load and wind aggregation in Tamil Nadu and Karnataka is found to lower the variation by at least 20percent indicating the benefits geographic diversification. These findings suggest modest additional flexible capacity requirements and costs for absorbing variation in wind power and indicate that the potential capacity support (if wind does not generate enough during peak periods) may be the issue that has more bearing on the economics of integrating wind

  15. Computational Needs for the Next Generation Electric Grid Proceedings

    E-Print Network [OSTI]

    Birman, Kenneth

    2012-01-01T23:59:59.000Z

    data  integration  for  Smart  Grid”,  B 2010  3rd  IEEE simulation  integration,  the  next generation smart grid the Smart Grid vision requires the efficient integration of 

  16. Decision-Support Software for Grid Operators: Transmission Topology Control for Infrastructure Resilience to the Integration of Renewable Generation

    SciTech Connect (OSTI)

    None

    2012-03-16T23:59:59.000Z

    GENI Project: The CRA team is developing control technology to help grid operators more actively manage power flows and integrate renewables by optimally turning on and off entire power lines in coordination with traditional control of generation and load resources. The control technology being developed would provide grid operators with tools to help manage transmission congestion by identifying the facilities whose on/off status must change to lower generation costs, increase utilization of renewable resources and improve system reliability. The technology is based on fast optimization algorithms for the near to real-time change in the on/off status of transmission facilities and their software implementation.

  17. 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...

  18. SHELXT – Integrated space-group and crystal-structure determination

    SciTech Connect (OSTI)

    Sheldrick, George M., E-mail: gsheldr@shelx.uni-ac.gwdg.de [Georg-August Universität Göttingen, Tammannstrasse 4, Göttingen, 37077 (Germany)

    2015-01-01T23:59:59.000Z

    SHELXT automates routine small-molecule structure determination starting from single-crystal reflection data, the Laue group and a reasonable guess as to which elements might be present. The new computer program SHELXT employs a novel dual-space algorithm to solve the phase problem for single-crystal reflection data expanded to the space group P1. Missing data are taken into account and the resolution extended if necessary. All space groups in the specified Laue group are tested to find which are consistent with the P1 phases. After applying the resulting origin shifts and space-group symmetry, the solutions are subject to further dual-space recycling followed by a peak search and summation of the electron density around each peak. Elements are assigned to give the best fit to the integrated peak densities and if necessary additional elements are considered. An isotropic refinement is followed for non-centrosymmetric space groups by the calculation of a Flack parameter and, if appropriate, inversion of the structure. The structure is assembled to maximize its connectivity and centred optimally in the unit cell. SHELXT has already solved many thousand structures with a high success rate, and is optimized for multiprocessor computers. It is, however, unsuitable for severely disordered and twinned structures because it is based on the assumption that the structure consists of atoms.

  19. Integrating Variable Renewable Energy Into the Grid: Key Issues, Greening the Grid (Fact Sheet), NREL (National Renewable Energy Laboratory)

    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 PowerCherries 82981-1cnHigh SchoolIn Other NewsSpin andInterim DataCooling -INTEGRATING VARIABLE

  20. 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.

  1. Greater than the Sum of its Parts; Electricity, Resources, & Building Systems Integration (ERBSI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-11-01T23:59:59.000Z

    NREL's Electricity, Resources, and Building Systems Integration Center brings together a diverse group of experts performing grid integration and optimization R&D activities.

  2. International Piping Integrity Research Group (IPIRG) Program. Final report

    SciTech Connect (OSTI)

    Wilkowski, G.; Schmidt, R.; Scott, P. [and others

    1997-06-01T23:59:59.000Z

    This is the final report of the International Piping Integrity Research Group (IPIRG) Program. The IPIRG Program was an international group program managed by the U.S. Nuclear Regulatory Commission and funded by a consortium of organizations from nine nations: Canada, France, Italy, Japan, Sweden, Switzerland, Taiwan, the United Kingdom, and the United States. The program objective was to develop data needed to verify engineering methods for assessing the integrity of circumferentially-cracked nuclear power plant piping. The primary focus was an experimental task that investigated the behavior of circumferentially flawed piping systems subjected to high-rate loadings typical of seismic events. To accomplish these objectives a pipe system fabricated as an expansion loop with over 30 meters of 16-inch diameter pipe and five long radius elbows was constructed. Five dynamic, cyclic, flawed piping experiments were conducted using this facility. This report: (1) provides background information on leak-before-break and flaw evaluation procedures for piping, (2) summarizes technical results of the program, (3) gives a relatively detailed assessment of the results from the pipe fracture experiments and complementary analyses, and (4) summarizes advances in the state-of-the-art of pipe fracture technology resulting from the IPIRG program.

  3. 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,...

  4. 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

  5. Bioinformatician position available Integrative Genomics of Ageing Group, University of Liverpool

    E-Print Network [OSTI]

    Bioinformatician position available Integrative Genomics of Ageing Group, University of Liverpool A bioinformatician position is available in the Integrative Genomics of Ageing Group at the University of Liverpool) systems biology, functional genomics, network analysis, and genome evolution. Applicants should have

  6. Methods of integrating a high penetration photovoltaic power plant into a micro grid.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Johnson, Lars (SunPower Corporation, Richmond, CA); Nelson, Lauren (SunPower Corporation, Richmond, CA); Lenox, Carl (SunPower Corporation, Richmond, CA); Johnson, Robert. (SunPower Corporation, Richmond, CA)

    2010-06-01T23:59:59.000Z

    The island of Lanai is currently one of the highest penetration PV micro grids in the world, with the 1.2 MWAC La Ola Solar Farm operating on a grid with a peak net load of 4.7 MW. This facility interconnects to one of Lanai's three 12.47 kV distribution circuits. An initial interconnection requirements study (IRS) determined that several control and performance features are necessary to ensure safe and reliable operation of the island grid. These include power curtailment, power factor control, over/under voltage and frequency ride through, and power ramp rate limiting. While deemed necessary for stable grid operation, many of these features contradict the current IEEE 1547 interconnection requirements governing distributed generators. These controls have been successfully implemented, tested, and operated since January 2009. Currently, the system is producing power in a curtailed mode according to the requirements of a power purchase agreement (PPA).

  7. 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

  8. Sandia National Laboratories: renewable energy integration

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

    Grid Integration, Infrastructure Security, Microgrid, News, News & Events, Partnership, Renewable Energy, SMART Grid, Transmission Grid Integration, Transportation Energy Under...

  9. Thermal Systems Group; Electricity, Resources, & Building Systems Integration (ERBSI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-11-01T23:59:59.000Z

    Factsheet developed to describe the activites of the Thermal Systems Group within NREL's Electricity, Resources, and Buildings Systems Integration center.

  10. 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,...

  11. 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...

  12. 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.

  13. An introduction to Lie group integrators – basics, new developments and applications

    SciTech Connect (OSTI)

    Celledoni, Elena, E-mail: elenac@math.ntnu.no [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway)] [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway); Marthinsen, Håkon, E-mail: hakonm@math.ntnu.no [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway)] [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway); Owren, Brynjulf, E-mail: bryn@math.ntnu.no [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway)] [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway)

    2014-01-15T23:59:59.000Z

    We give a short and elementary introduction to Lie group methods. A selection of applications of Lie group integrators are discussed. Finally, a family of symplectic integrators on cotangent bundles of Lie groups is presented and the notion of discrete gradient methods is generalised to Lie groups.

  14. Procedure to Calculate NOx Reductions Using the Emissions & Generation Resource Integrated Database (E-Grid) Spreadsheet

    E-Print Network [OSTI]

    Haberl, J. S.; Im, P.; Culp, C.; Yazdani, B.; Fitzpatrick, T.; Verdict, M.; Turner, W. D.

    2003-01-01T23:59:59.000Z

    and Renewable Energy projects (EE/RE) implemented in each Power Control Area (PCA) in the ERCOT region E-GRID is a comprehensive database of environmental attributes of electric power systems. E-GRID is based on available plant-specific data for all U... in Figure 9 that three counties (i.e., Ward, McLennan, and Mitchell) rise significantly in NOx reductions during peak days when compared to annual NOx reductions (Figure 5). Table 1. EPA's EGRID table: County-wide NOx Reductions in pounds per MWh for EE/RE...

  15. NREL Energy Models Examine the Potential for Wind and Solar Grid Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-11-01T23:59:59.000Z

    As renewable energy generating sources, such as wind turbines and solar power systems, reach high levels of penetration in parts of the United States, the National Renewable Energy Laboratory (NREL) is helping the utility industry to peer into the future. Using software modeling tools that the lab developed, NREL is examining the future operation of the electrical grid as renewable energy continues to grow.

  16. A Toolkit for Modelling and Simulation of Data Grids with Integration of Data Storage, Replication and

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Barry St, Carlton VIC 3053 Australia bFaculty of Computer and Information Science The University, such as in the area of astronomy, protein simulation and high energy physics. This is because experiments have developed provides essential building blocks for simulating Data Grid scenarios. It provides

  17. Hyper: A Framework for Peer-to-Peer Data Integration on Grids

    E-Print Network [OSTI]

    De Giacomo, Giuseppe

    Giacomo2 , Maurizio Lenzerini2 , Riccardo Rosati2 , and Guido Vetere3 1 Faculty of Computer Science, Free`a di Roma "La Sapienza", lastname @dis.uniroma1.it 3 IBM Italia gvetere@it.ibm.com Abstract. Data Grids Hyper, a joint research initiative of Universit`a di Roma "La Sapienza" and IBM Italia, which aims

  18. 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...

  19. 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

    Integration of Intermittent Renewable Technologies Yih-huei,W. ; Parsons, B National Renewable Energy Laboratory, August2020: Towards a Policy of Renewable and Distributed Energy

  20. Ten Frequently Asked Questions and Answers About Wind Energy Grid Integration

    Broader source: Energy.gov [DOE]

    First presented to the Kansas State Legislature in 2008, these slides present 10 questions and answers regarding basic wind power issues including technology, transmission, and integration.

  1. VOLTTRON™: An Agent Platform for Integrating Electric Vehicles and Smart Grid

    SciTech Connect (OSTI)

    Haack, Jereme N.; Akyol, Bora A.; Tenney, Nathan D.; Carpenter, Brandon J.; Pratt, Richard M.; Carroll, Thomas E.

    2013-12-06T23:59:59.000Z

    The VOLTTRON™ platform provides a secure environment for the deployment of intelligent applications in the smart grid. VOLTTRON design is based on the needs of control applications running on small form factor devices, namely security and resource guarantees. Services such as resource discovery, secure agent mobility, and interacting with smart and legacy devices are provided by the platform to ease the development of control applications and accelerate their deployment. VOLTTRON platform has been demonstrated in several different domains that influenced and enhanced its capabilities. This paper will discuss the features of VOLTTRON and highlight its usage to coordinate electric vehicle charging with home energy usage

  2. Technology Evaluation and Integration Group: Center for Transportation Technologies and Systems

    SciTech Connect (OSTI)

    Not Available

    2008-08-01T23:59:59.000Z

    Fact sheet describes the specialized work done by NREL's Technology Evaluation and Integration Group in the Center for Transportation Technologies and Systems.

  3. ESIF Plugs Utility-Scale Hardware into Simulated Grids to Assess Integration Effects (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-04-01T23:59:59.000Z

    At NREL's Energy Systems Integration Facility (ESIF), integrated, megawatt-scale power hardware-in-the-loop (PHIL) capability allows researchers and manufacturers to test new energy technologies at full power in real-time simulations - safely evaluating component and system performance and reliability before going to market.

  4. Empirical Analysis of the Variability of Wind Generation in India: Implications for Grid Integration

    E-Print Network [OSTI]

    Phadke, Amol

    2014-01-01T23:59:59.000Z

    and V. Neimane. 2005. 4000 MW Wind Power in Sweden-Impact onand Michael Milligan. 2009. “Wind Energy and Power SystemOperations: A Review of Wind Integration Studies to Date. ”

  5. Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System

    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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking of BlytheDepartmentEnergy Integrated EnergyIntegratedAdapting

  6. 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

  7. EV-Smart Grid Research & Interoperability Activities 2014 DOE...

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

    - Codes & Standards Support, Grid Connectivity R&D, International Cooperation and EV-Smart Grid Interoperability Center (funding began in FY 2013) Grid Integration * PEV J1772...

  8. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, VOL. 30, NO. 5, MAY 2011 691 Fast Vectorless Power Grid Verification

    E-Print Network [OSTI]

    Najm, Farid N.

    2011 691 Fast Vectorless Power Grid Verification Under an RLC Model Nahi H. Abdul Ghani, Student MemberIEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, VOL. 30, NO. 5, MAY, IEEE, and Farid N. Najm, Fellow, IEEE Abstract--As part of early system design, one must verify

  9. Integration of photovoltaic units into electric utility grids: experiment information requirements and selected issues

    SciTech Connect (OSTI)

    Not Available

    1980-09-01T23:59:59.000Z

    A number of investigations, including those conducted by The Aerospace Corporation and other contractors, have led to the recognition of technical, economic, and institutional issues relating to the interface between solar electric technologies and electric utility systems. These issues derive from three attributes of solar electric power concepts, including (1) the variability and unpredictability of the solar resources, (2) the dispersed nature of those resources which suggests the feasible deployment of small dispersed power units, and (3) a high initial capital cost coupled with relatively low operating costs. It is imperative that these integration issues be pursued in parallel with the development of each technology if the nation's electric utility systems are to effectively utilize these technologies in the near to intermediate term. Analyses of three of these issues are presented: utility information requirements, generation mix and production cost impacts, and rate structures in the context of photovoltaic units integrated into the utility system. (WHK)

  10. New Energy Systems Integration Facility (ESIF) to Help Modernize the 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 Science (SC)Integrated CodesTransparency VisitSilverNephelineNeuralNew AdvancesNewNew

  11. Integrated Operation Scenarios ITPA Topical Group Meeting | Princeton

    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 | National Nuclear Security Administration Facebook TwitterPlasma

  12. Green Energy Workshop Student Posters Semantic Complex Event Processing for Smart Grid Information

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    for Smart Grid Information Integration and Demand Management Qunzhi Zhou, Yogesh of the power grid to a Smart Grid. The benefits of Smart Grid include demand Grid Demonstration Project. We define an ontology model for Smart Grid

  13. Problematic Integration Theory, Appraisal Theory, and the Bosom Buddies Breast Cancer Support Group

    E-Print Network [OSTI]

    Kunkel, Adrianne; Keyton, Joann; Dennis, Michael Robert

    2008-09-26T23:59:59.000Z

    Problematic integration (Babrow, 1992) and appraisal (Lazarus, 1991) theories are utilized to analyze the beneficial coping and social support produced within the discourse of Bosom Buddies, a breast cancer support group. Transcripts of eight weekly...

  14. Integration of geodesic flows on homogeneous spaces: the case of a wild lie group

    E-Print Network [OSTI]

    A. A. Magazev; I. V. Shirokov

    2007-03-21T23:59:59.000Z

    We obtain necessary and sufficient conditions for the integrability in quadratures of geodesic flows on homogeneous spaces $M$ with invariant and central metrics. The proposed integration algorithm consists in using a special canonical transformation in the space $T^*M$ based on constructing the canonical coordinates on the orbits of the coadjoint representation and on the simplectic sheets of the Poisson algebra of invariant functions. This algorithm is applicable to integrating geodesic flows on homogeneous spaces of a wild Lie group.

  15. Authentication Procedures - The Procedures and Integration Working Group

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Bratcher, Leigh; Gosnell, Tom; Langner, Diana; MacArthur, D.; Mihalczo, John T.; Pura, Carolyn; Riedy, Alex; Rexroth, Paul; Scott, Mary; Springarn, Jay

    2001-05-31T23:59:59.000Z

    Authentication is how we establish trust in monitoring systems and measurements to verify compliance with, for example, the storage of nuclear weapons material. Authentication helps assure the monitoring party that accurate and reliable information is provided by any measurement system and that any irregularities are detected. The U.S. is developing its point of view on the procedures for authentication of monitoring systems now planned or contemplated for arms reduction and control applications. The authentication of a system utilizes a set of approaches, including: functional testing using trusted calibration sources, evaluation of documentation, evaluation of software, evaluation of hardware, random selection of hardware and software, tamper-indicating devices, and operational procedures. Authentication of measurement systems should occur throughout their lifecycles, starting with the elements of design, and moving to off-site authentication, on-siste authentication, and continuing with authentication following repair. The most important of these is the initial design of systems. Hardware and software design criteria and procurement decisions can make future authentication relatively straightforward or conversely very difficult. Facility decisions can likewise ease the procedures for authentication since reliable and effective monitoring systems and tampering indicating devices can help provide the assurance needed in the integrity of such items as measurement systems, spare equipment, and reference sources. This paper will summarize the results of the U.S. Authentication Task Force discussion on the role of procedures in authentication.

  16. 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.

  17. 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 Climate

  18. Renewables and Grid Integration

    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'tOrigin ofEnergy at Waste-to-Energy using Fues Cells Webinar, July 13,Energy Renewables

  19. 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.

  20. 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

  1. 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...

  2. PEV Integration with Renewables (Presentation)

    SciTech Connect (OSTI)

    Markel, T.

    2014-06-18T23:59:59.000Z

    This presentation discusses current research at NREL on integrating plug-in electric vehicles with the grid and using renewable energy to charge the grid. The Electric Vehicle Grid Integration (EVGI) and Integrated Network Testbed for Energy Grid Research and Technology Experimentation (INTEGRATE) are addressing the opportunities and technical requirements for vehicle grid integration that will increase marketability and lead to greater petroleum reduction.

  3. Wind Energy Management System Integration Project Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

    2010-09-01T23:59:59.000Z

    The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation) and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. In order to improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively, by including all sources of uncertainty (load, intermittent generation, generators’ forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. In this report, a new methodology to predict the uncertainty ranges for the required balancing capacity, ramping capability and ramp duration is presented. Uncertainties created by system load forecast errors, wind and solar forecast errors, generation forced outages are taken into account. The uncertainty ranges are evaluated for different confidence levels of having the actual generation requirements within the corresponding limits. The methodology helps to identify system balancing reserve requirement based on a desired system performance levels, identify system “breaking points”, where the generation system becomes unable to follow the generation requirement curve with the user-specified probability level, and determine the time remaining to these potential events. The approach includes three stages: statistical and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence intervals. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis incorporating all sources of uncertainty and parameters of a continuous (wind forecast and load forecast errors) and discrete (forced generator outages and failures to start up) nature. Preliminary simulations using California Independent System Operator (California ISO) real life data have shown the effectiveness of the proposed approach. A tool developed based on the new methodology described in this report will be integrated with the California ISO systems. Contractual work is currently in place to integrate the tool with the AREVA EMS system.

  4. International Journal of Smart Grid and Clean Energy Smart Grid Security: Threats, Vulnerabilities and Solutions

    E-Print Network [OSTI]

    Aloul, Fadi

    to be able to communicate with smart meters via a Home Area Network (HAN) facilitating efficient powerInternational Journal of Smart Grid and Clean Energy Smart Grid Security: Threats, Vulnerabilities is currently evolving into the smart grid. Smart grid integrates the traditional electrical power grid

  5. EA-1750: Smart Grid, Center for Commercialization of Electric Technology, Technology Solutions for Wind Integration in ERCOT, Houston, Texas

    Broader source: Energy.gov [DOE]

    This EA evaluates the potential environmental impacts of providing a financial assistance grant under the American Recovery and Reinvestment Act of 2009 to the Center for Commercialization of Electric Technology to facilitate the development and demonstration of a multi-faceted, synergistic approach to managing fluctuations in wind power within the Electric Reliability Council of Texas transmission grid.

  6. 2014-09-30 Issuance: Buildings-to-Grid Integration and Related Areas of Research; Notice of Availability and Request for Public Comment

    Broader source: Energy.gov [DOE]

    This document is a pre-publication Federal Register notice of availability and request for public comment regarding buildings-to-grid integration and related areas of research, as issued by the Deputy Assistant Secretary for Energy Efficiency on September 30, 2014. Though it is not intended or expected, should any discrepancy occur between the document posted here and the document published in the Federal Register, the Federal Register publication controls. This document is being made available through the Internet solely as a means to facilitate the public's access to this document.

  7. 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

  8. 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.

  9. 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.

  10. A Dynamic Job Grouping-Based Scheduling for Deploying Applications with Fine-Grained Tasks on Global Grids

    E-Print Network [OSTI]

    Buyya, Rajkumar

    A Dynamic Job Grouping-Based Scheduling for Deploying Applications with Fine-Grained Tasks for executing applications with compute-intensive jobs, there exist several applications with a large number of lightweight jobs. The overall processing undertaking of these applications involves high overhead time

  11. Solar Energy Grid Integration Systems. Final Report of the Princeton Power Systems Development of the 100kW Demand Response Inverter.

    SciTech Connect (OSTI)

    Bower, Ward Isaac; Heavener, Paul (Princeton Power Systems, Inc., Princeton, NJ); Sena-Henderson, Lisa; Hammell, Darren (Princeton Power Systems, Inc., Princeton, NJ); Holveck, Mark (Princeton Power Systems, Inc., Princeton, NJ); David, Carolyn; Akhil, Abbas Ali; Gonzalez, Sigifredo

    2012-01-01T23:59:59.000Z

    Initiated in 2008, the Solar Energy Grid Integration (SEGIS) program is a partnership involving the U.S. Department of Energy, Sandia National Laboratories, electric utilities, academic institutions and the private sector. Recognizing the need to diversify the nation's energy portfolio, the SEGIS effort focuses on specific technologies needed to facilitate the integration of large-scale solar power generation into the nation's power grid Sandia National Laboratories (SNL) awarded a contract to Princeton Power Systems, Inc., (PPS) to develop a 100kW Advanced AC-link SEGIS inverter prototype under the Department of Energy Solar Energy Technologies Program for near-term commercial applications. This SEGIS initiative emphasizes the development of advanced inverters, controllers, communications and other balance-of-system components for photovoltaic (PV) distributed power applications. The SEGIS Stage 3 Contract was awarded to PPS on July 28, 2010. PPS developed and implemented a Demand Response Inverter (DRI) during this three-stage program. PPS prepared a 'Site Demonstration Conference' that was held on September 28, 2011, to showcase the cumulative advancements. This demo of the commercial product will be followed by Underwriters Laboratories, Inc., certification by the fourth quarter of 2011, and simultaneously the customer launch and commercial production sometime in late 2011 or early 2012. This final report provides an overview of all three stages and a full-length reporting of activities and accomplishments in Stage 3.

  12. 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...

  13. Strategies and Decision Support Systems for Integrating Variable Energy Resources in Control Centers for Reliable Grid Operations

    SciTech Connect (OSTI)

    Jones, Lawrence E.

    2011-12-01T23:59:59.000Z

    A variety of studies have recently evaluated the opportunities for the large-scale integration of wind energy into the US power system. These studies have included, but are not limited to, "20 Percent Wind Energy by 2030: Increasing Wind Energy's Contribution to US Electricity Supply", the "Western Wind and Solar Integration Study", and the "Eastern Wind Integration and Transmission Study." Each of these US based studies have evaluated a variety of activities that can be undertaken by utilities to help integrate wind energy.

  14. How do Wind and Solar Power Affect Grid Operations: The Western Wind and Solar Integration Study; Preprint

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Freeman, L.; Miller, N.; Clark, K.; Piwko, R.

    2009-09-01T23:59:59.000Z

    This paper reviews the scope of the Western Wind and Solar Integration Study, the development of wind and solar datasets, and the results to date on three scenarios.

  15. 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.

  16. 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.

  17. A First-Ever Global Examination of Successful Wind Energy Grid...

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

    A First-Ever Global Examination of Successful Wind Energy Grid Integration Practices A First-Ever Global Examination of Successful Wind Energy Grid Integration Practices December...

  18. How Do High Levels of Wind and Solar Impact the Grid? The Western Wind and Solar Integration Study

    SciTech Connect (OSTI)

    Lew, D.; Piwko, D.; Miller, N.; Jordan, G.; Clark, K.; Freeman, L.

    2010-12-01T23:59:59.000Z

    This paper is a brief introduction to the scope of the Western Wind and Solar Integration Study (WWSIS), inputs and scenario development, and the key findings of the study.

  19. Smart Grid Research At TTU Robert C. Qiu and David Gao

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Grid #12;Smart Grid Research at TTU Renewable and clean energy integration into smart grid Wind PowerSmart Grid Research At TTU Robert C. Qiu and David Gao Department of Electrical and Computer Technologies Integrated communications Fast and reliable communications for the grid Allowing the grid

  20. 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.

  1. 15Geographic Information Sciences Vol. 11, No. 1, June 2005 The Integration of Grid-enabled Internet GIServices and

    E-Print Network [OSTI]

    Tsou, Ming-Hsiang

    are too slow to enable complicated web-based spatial analysis procedures. The heterogeneous geospatial and integrate computing power with geospatial data and services. Geospatial ontologies are incorporatedAgent) techniques are used to automate the procedures for searching, retrieving and processing geospatial data

  2. Wind Energy Management System EMS Integration Project: Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

    2010-01-01T23:59:59.000Z

    The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind and solar power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation), and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind/solar forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. To improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively by including all sources of uncertainty (load, intermittent generation, generators’ forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. Currently, uncertainties associated with wind and load forecasts, as well as uncertainties associated with random generator outages and unexpected disconnection of supply lines, are not taken into account in power grid operation. Thus, operators have little means to weigh the likelihood and magnitude of upcoming events of power imbalance. In this project, funded by the U.S. Department of Energy (DOE), a framework has been developed for incorporating uncertainties associated with wind and load forecast errors, unpredicted ramps, and forced generation disconnections into the energy management system (EMS) as well as generation dispatch and commitment applications. A new approach to evaluate the uncertainty ranges for the required generation performance envelope including balancing capacity, ramping capability, and ramp duration has been proposed. The approach includes three stages: forecast and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence levels. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis, incorporating all sources of uncertainties of both continuous (wind and load forecast errors) and discrete (forced generator outages and start-up failures) nature. A new method called the “flying brick” technique has been developed to evaluate the look-ahead required generation performance envelope for the worst case scenario within a user-specified confidence level. A self-validation algorithm has been developed to validate the accuracy of the confidence intervals.

  3. 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...

  4. 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 ...

  5. Using the GridSim Toolkit for Enabling Grid Computing Education Manzur Murshed

    E-Print Network [OSTI]

    Melbourne, University of

    with (Grid-enabled) resources or their agents using middleware services, map tasks to resources (schedulingUsing the GridSim Toolkit for Enabling Grid Computing Education Manzur Murshed Gippsland School: Grid Simulation; Education; Scheduling; Resource Management. Abstract Numerous research groups

  6. 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)

  7. A Multi-Level Grid Interactive Bi-directional AC/DC-DC/AC Converter and a Hybrid Battery/Ultra-capacitor Energy Storage System with Integrated Magnetics for Plug-in Hybrid Electric Vehicles

    SciTech Connect (OSTI)

    Onar, Omer C [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    This study presents a bi-directional multi-level power electronic interface for the grid interactions of plug-in hybrid electric vehicles (PHEVs) as well as a novel bi-directional power electronic converter for the combined operation of battery/ultracapacitor hybrid energy storage systems (ESS). The grid interface converter enables beneficial vehicle-to-grid (V2G) interactions in a high power quality and grid friendly manner; i.e, the grid interface converter ensures that all power delivered to/from grid has unity power factor and almost zero current harmonics. The power electronic converter that provides the combined operation of battery/ultra-capacitor system reduces the size and cost of the conventional ESS hybridization topologies while reducing the stress on the battery, prolonging the battery lifetime, and increasing the overall vehicle performance and efficiency. The combination of hybrid ESS is provided through an integrated magnetic structure that reduces the size and cost of the inductors of the ESS converters. Simulation and experimental results are included as prove of the concept presenting the different operation modes of the proposed converters.

  8. 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.

  9. Integration

    E-Print Network [OSTI]

    Koschorke, Albrecht; Musanovic, Emina

    2013-01-01T23:59:59.000Z

    Integration By Albrecht Koschorkeby Emina Musanovic [Integration (from Lat. integrare, “toa social unity. Social integration is distinct from systemic

  10. 2012 SG Peer Review - Recovery Act: LADWP Smart Grid Regional...

    Energy Savers [EERE]

    Funding (K) FY1011 - FY1516 60,280K Match Grant Technical Scope *Integrate Electric Vehicles into the LADWP grid *Demonstrate integrated Demand Response operation and...

  11. 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

  12. Arnold Schwarzenegger INTEGRATING NEW AND EMERGING

    E-Print Network [OSTI]

    GRID INFRASTRUCTURE A Report on a Smart Grid for California PIERFINALPROJECTREPORT Prepared For Technologies into the California Smart Grid Infrastructure. EPRI, Palo Alto, CA; California Energy Commission Technologies · Transportation Integrating New and Emerging Technologies into the California Smart Grid

  13. Spherical Harmonic Decomposition on a Cubic Grid

    E-Print Network [OSTI]

    Charles W. Misner

    1999-10-12T23:59:59.000Z

    A method is described by which a function defined on a cubic grid (as from a finite difference solution of a partial differential equation) can be resolved into spherical harmonic components at some fixed radius. This has applications to the treatment of boundary conditions imposed at radii larger than the size of the grid, following Abrahams, Rezzola, Rupright et al.(gr-qc/9709082}. In the method described here, the interpolation of the grid data to the integration 2-sphere is combined in the same step as the integrations to extract the spherical harmonic amplitudes, which become sums over grid points. Coordinates adapted to the integration sphere are not needed.

  14. Final Report. An Integrated Partnership to Create and Lead the Solar Codes and Standards Working Group

    SciTech Connect (OSTI)

    Rosenthal, Andrew [New Mexico State Univ., Las Cruces, NM (United States)

    2013-12-30T23:59:59.000Z

    The DOE grant, “An Integrated Partnership to Create and Lead the Solar Codes and Standards Working Group,” to New Mexico State University created the Solar America Board for Codes and Standards (Solar ABCs). From 2007 – 2013 with funding from this grant, Solar ABCs identified current issues, established a dialogue among key stakeholders, and catalyzed appropriate activities to support the development of codes and standards that facilitated the installation of high quality, safe photovoltaic systems. Solar ABCs brought the following resources to the PV stakeholder community; Formal coordination in the planning or revision of interrelated codes and standards removing “stove pipes” that have only roofing experts working on roofing codes, PV experts on PV codes, fire enforcement experts working on fire codes, etc.; A conduit through which all interested stakeholders were able to see the steps being taken in the development or modification of codes and standards and participate directly in the processes; A central clearing house for new documents, standards, proposed standards, analytical studies, and recommendations of best practices available to the PV community; A forum of experts that invites and welcomes all interested parties into the process of performing studies, evaluating results, and building consensus on standards and code-related topics that affect all aspects of the market; and A biennial gap analysis to formally survey the PV community to identify needs that are unmet and inhibiting the market and necessary technical developments.

  15. What is the Smart Grid Anyway

    Broader source: Energy.gov [DOE]

    Presentation covers what is the smart grid at the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

  16. Smart Grid Publications Archive | Department of Energy

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

    July 2009 The Smart Grid Stakeholder Roundtable Group Perspectives (September 2009) Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A...

  17. Smart Grid Newsletter ? The Regulators Role in Grid Modernization...

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

    of the Smart Grid by providing them with information, control and options. AMI includes smart meters for advanced measurement, an integrated two- way communications...

  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. 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

  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. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    Williams, “Security issues in SCADA networks,” Computers andA Cyber Security Study of a SCADA Energy Management System,”and transmitted over a SCADA network to the system operator.

  2. Sandia National Laboratories: 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...

  3. Grid Integration | Department of Energy

    Office of Environmental Management (EM)

    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 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12 OPAMGeneral GuidanceEnergy Launching Pad

  4. 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

  5. PNNL Data-Intensive Computing for a Smarter Energy Grid

    ScienceCinema (OSTI)

    Carol Imhoff; Zhenyu (Henry) Huang; Daniel Chavarria

    2012-12-31T23:59:59.000Z

    The Middleware for Data-Intensive Computing (MeDICi) Integration Framework, an integrated platform to solve data analysis and processing needs, supports PNNL research on the U.S. electric power grid. MeDICi is enabling development of visualizations of grid operations and vulnerabilities, with goal of near real-time analysis to aid operators in preventing and mitigating grid failures.

  6. IMPLEMENTING ENTORHINAL GRID FIELDS IN BIOPHYSICAL NEURONAL MODELS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    IMPLEMENTING ENTORHINAL GRID FIELDS IN BIOPHYSICAL NEURONAL MODELS Michiel W.H. Remme Group entorhinal cortical neurons form characteristic grid patterns as a function of the ani- mal's position neurons form characteristic grid patterns as a function of the an- imal's position [1]. The hexagonal grid

  7. Evanescent Coupling Device Design for Waveguide-Integrated Group IV Photodetectors

    E-Print Network [OSTI]

    Ahn, Donghwan

    We have fabricated vertical p-i-n silicon photodetectors that are monolithically integrated with compact silicon-oxynitride channel waveguides. By comparing the evanescent coupling from low index-contrast waveguides and ...

  8. GridOPTICS(TM): A Design for Plug-and-Play Smart Grid Software Architecture

    SciTech Connect (OSTI)

    Gorton, Ian; Liu, Yan; Yin, Jian

    2012-06-03T23:59:59.000Z

    As the smart grid becomes reality, software architectures for integrating legacy systems with new innovative approaches for grid management are needed. These architectures must exhibit flexibility, extensibility, interoperability and scalability. In this position paper, we describe our preliminary work to design such an architecture, known as GridOPTICS, that will enable the deployment and integration of new software tools in smart grid operations. Our preliminary design is based upon use cases from PNNL’s Future Power Grid Initiative, which is a developing a collection of advanced software technologies for smart grid management and control. We describe the motivations for GridOPTICS, and the preliminary design that we are currently prototyping for several distinct use cases.

  9. INTRODUCTION TO SMART GRID Weichao Wang (UNCC), Yi Pan (Georgia State),

    E-Print Network [OSTI]

    Wang, Weichao

    INTRODUCTION TO SMART GRID Weichao Wang (UNCC), Yi Pan (Georgia State), Wenzhan Song (Georgia State) and Le Xie (Texas A&M) NSF SFS Project Team on "Integrated Learning Environment for Smart Grid Security" #12; Objective of National Power Grid Modernization Architecture of Smart Grid What is Smart Grid

  10. 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

  11. 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

  12. 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

  13. Model Developments for Development of Improved Emissions Scenarios: Developing Purchasing-Power Parity Models, Analyzing Uncertainty, and Developing Data Sets for Gridded Integrated Assessment Models

    SciTech Connect (OSTI)

    Yang, Zili; Nordhaus, William

    2009-03-19T23:59:59.000Z

    In the duration of this project, we finished the main tasks set up in the initial proposal. These tasks include: setting up the basic platform in GAMS language for the new RICE 2007 model; testing various model structure of RICE 2007; incorporating PPP data set in the new RICE model; developing gridded data set for IA modeling.

  14. 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...

  15. 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

  16. Final report for %22High performance computing for advanced national electric power grid modeling and integration of solar generation resources%22, LDRD Project No. 149016.

    SciTech Connect (OSTI)

    Reno, Matthew J.; Riehm, Andrew Charles; Hoekstra, Robert John; Munoz-Ramirez, Karina; Stamp, Jason Edwin; Phillips, Laurence R.; Adams, Brian M.; Russo, Thomas V.; Oldfield, Ron A.; McLendon, William Clarence, III; Nelson, Jeffrey Scott; Hansen, Clifford W.; Richardson, Bryan T.; Stein, Joshua S.; Schoenwald, David Alan; Wolfenbarger, Paul R.

    2011-02-01T23:59:59.000Z

    Design and operation of the electric power grid (EPG) relies heavily on computational models. High-fidelity, full-order models are used to study transient phenomena on only a small part of the network. Reduced-order dynamic and power flow models are used when analysis involving thousands of nodes are required due to the computational demands when simulating large numbers of nodes. The level of complexity of the future EPG will dramatically increase due to large-scale deployment of variable renewable generation, active load and distributed generation resources, adaptive protection and control systems, and price-responsive demand. High-fidelity modeling of this future grid will require significant advances in coupled, multi-scale tools and their use on high performance computing (HPC) platforms. This LDRD report demonstrates SNL's capability to apply HPC resources to these 3 tasks: (1) High-fidelity, large-scale modeling of power system dynamics; (2) Statistical assessment of grid security via Monte-Carlo simulations of cyber attacks; and (3) Development of models to predict variability of solar resources at locations where little or no ground-based measurements are available.

  17. Questions and Answers for the Smart Grid Investment Grant Program...

    Office of Environmental Management (EM)

    Questions and answers related to the reporting of meter installations in the SmartGrid Integrated Project Reporting Information System (SIPRIS), both for the intial report...

  18. Questions and Answers for the Smart Grid Investment Grant Program...

    Office of Environmental Management (EM)

    Retained in SIPRIS Questions and answers related to the reporting of jobs in the SmartGrid Integrated Project Reporting Information System (SIPRIS), both for the intial report...

  19. GENI: Grid Hardware and Software

    SciTech Connect (OSTI)

    None

    2012-01-09T23:59:59.000Z

    GENI Project: The 15 projects in ARPA-E’s GENI program, short for “Green Electricity Network Integration,” aim to modernize the way electricity is transmitted in the U.S. through advances in hardware and software for the electric grid. These advances will improve the efficiency and reliability of electricity transmission, increase the amount of renewable energy the grid can utilize, and provide energy suppliers and consumers with greater control over their power flows in order to better manage peak power demand and cost.

  20. 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

  1. Grid Cells and Theta as Oscillatory Interference: Theory and Predictions

    E-Print Network [OSTI]

    Burgess, Neil

    Grid Cells and Theta as Oscillatory Interference: Theory and Predictions Neil Burgess* ABSTRACT: The oscillatory interference model [Burgess et al. (2007) Hippocampus 17:801­802] of grid cell firing is reviewed as an algorith- mic level description of path integration and as an implementation level description of grid

  2. The Second International Piping Integrity Research Group (IPIRG-2) program. Final report, October 1991--April 1996

    SciTech Connect (OSTI)

    Hopper, A.; Wilowski, G.; Scott, P.; Olson, R. [and others

    1997-03-01T23:59:59.000Z

    The IPIRG-2 program was an international group program managed by the US NRC and funded by organizations from 15 nations. The emphasis of the IPIRG-2 program was the development of data to verify fracture analyses for cracked pipes and fittings subjected to dynamic/cyclic load histories typical of seismic events. The scope included: (1) the study of more complex dynamic/cyclic load histories, i.e., multi-frequency, variable amplitude, simulated seismic excitations, than those considered in the IPIRG-1 program, (2) crack sizes more typical of those considered in Leak-Before-Break (LBB) and in-service flaw evaluations, (3) through-wall-cracked pipe experiments which can be used to validate LBB-type fracture analyses, (4) cracks in and around pipe fittings, such as elbows, and (5) laboratory specimen and separate effect pipe experiments to provide better insight into the effects of dynamic and cyclic load histories. Also undertaken were an uncertainty analysis to identify the issues most important for LBB or in-service flaw evaluations, updating computer codes and databases, the development and conduct of a series of round-robin analyses, and analyst`s group meetings to provide a forum for nuclear piping experts from around the world to exchange information on the subject of pipe fracture technology. 17 refs., 104 figs., 41 tabs.

  3. Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study

    E-Print Network [OSTI]

    Cappers, Peter

    2012-01-01T23:59:59.000Z

    Smart Grid, and specifically AMI, can play in mitigating variable generation integrationSmart Grid could be the “silver bullet” for mitigating variable generation integrationSmart Grid could be the “silver bullet” for mitigating variable generation integration

  4. IEEE TRANSACTIONS ON SMART GRID, VOL. 2, NO. 4, DECEMBER 2011 645 Malicious Data Attacks on the Smart Grid

    E-Print Network [OSTI]

    Tong, Lang

    between users and suppliers. While such integration is essential for a future "smart" grid, it also makesIEEE TRANSACTIONS ON SMART GRID, VOL. 2, NO. 4, DECEMBER 2011 645 Malicious Data Attacks on the Smart Grid Oliver Kosut, Member, IEEE, Liyan Jia, Robert J. Thomas, Life Fellow, IEEE, and Lang Tong

  5. Microsoft PowerPoint - E_forum_1_What is a Smart Grid_Miller...

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

    Optimizes Assets & Operates Efficiently Little integration with asset management Deep integration of grid intelligence with asset management software Self Heals Protects assets...

  6. Science Education Group | Princeton Plasma Physics Lab

    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 PossibleRadiationImplementingnpitcheResearch BriefsTenney, Office ofScience Education Group View

  7. Student Research Abstract: Trustworthy Remote Entities in the Smart Grid

    E-Print Network [OSTI]

    Oxford, University of

    Student Research Abstract: Trustworthy Remote Entities in the Smart Grid Andrew J. Paverd to enhance user privacy by introducing a novel element into the smart grid architecture. The Trustworthy a group of smart meters and the external smart grid entities. The TRE enhances user privacy by providing

  8. Smart Grid Information Clearinghouse (SGIC)

    SciTech Connect (OSTI)

    Rahman, Saifur

    2014-08-31T23:59:59.000Z

    Since the Energy Independence and Security Act of 2007 was enacted, there has been a large number of websites that discusses smart grid and relevant information, including those from government, academia, industry, private sector and regulatory. These websites collect information independently. Therefore, smart grid information was quite scattered and dispersed. The objective of this work was to develop, populate, manage and maintain the public Smart Grid Information Clearinghouse (SGIC) web portal. The information in the SGIC website is comprehensive that includes smart grid information, research & development, demonstration projects, technical standards, costs & benefit analyses, business cases, legislation, policy & regulation, and other information on lesson learned and best practices. The content in the SGIC website is logically grouped to allow easily browse, search and sort. In addition to providing the browse and search feature, the SGIC web portal also allow users to share their smart grid information with others though our online content submission platform. The Clearinghouse web portal, therefore, serves as the first stop shop for smart grid information that collects smart grid information in a non-bias, non-promotional manner and can provide a missing link from information sources to end users and better serve users’ needs. The web portal is available at www.sgiclearinghouse.org. This report summarizes the work performed during the course of the project (September 2009 – August 2014). Section 2.0 lists SGIC Advisory Committee and User Group members. Section 3.0 discusses SGIC information architecture and web-based database application functionalities. Section 4.0 summarizes SGIC features and functionalities, including its search, browse and sort capabilities, web portal social networking, online content submission platform and security measures implemented. Section 5.0 discusses SGIC web portal contents, including smart grid 101, smart grid projects, deployment experience (i.e., use cases, lessons learned, cost-benefit analyses and business cases), in-depth information (i.e., standards, technology, cyber security, legislation, education and training and demand response), as well as international information. Section 6.0 summarizes SGIC statistics from the launch of the portal on July 07, 2010 to August 31, 2014. Section 7.0 summarizes publicly available information as a result of this work.

  9. Smart Grid Request for Information and Public Comments | Department...

    Office of Environmental Management (EM)

    Association CURRENT Group Dairyland Power Cooperative RICE Ruling Water Heater Ruling Demand Response and Smart Grid Coalition (DRSG) District of Columbia Office of the...

  10. Smart Grid: Creating Jobs while Delivering Reliable,Environmentally...

    Open Energy Info (EERE)

    Smart Grid: Creating Jobs while Delivering Reliable, Environmentally-friendly Energy Home > Groups > OpenEI Community Central Graham7781's picture Submitted by Graham7781(2017)...

  11. Communication Needs and Integration Options

    E-Print Network [OSTI]

    Communication Needs and Integration Options for AMI in the Smart Grid Future Grid Initiative White System #12;Communication Needs and Integration Options for AMI in the Smart Grid Prepared for the Project #12;ii Executive Summary This white paper analyzes the current state of communications

  12. Communication Needs and Integration Options

    E-Print Network [OSTI]

    Communication Needs and Integration Options for AMI in the Smart Grid Future Grid Initiative White System #12;Communication Needs and Integration Options for AMI in the Smart Grid Prepared for the Project the current state of communications for the advanced metering infrastructure (AMI) and recommends

  13. 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...

  14. 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...

  15. 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...

  16. 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 PossibleRadiationImplementingnpitche Home About npitche ThisStrategicThird AnnualSandia

  17. GridLAB-D: An Agent-Based Simulation Framework for Smart Grids

    SciTech Connect (OSTI)

    Chassin, David P.; Fuller, Jason C.; Djilali, Ned

    2014-06-23T23:59:59.000Z

    Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets that are becoming part of modern electricity production, delivery, and consumption systems. As a result, the US Department of Energy’s Office of Electricity commissioned the development of a new type of power system simulation tool called GridLAB-D that uses an agent-based approach to simulating smart grids. This paper presents the numerical methods and approach to time-series simulation used by GridLAB-D and reviews applications in power system studies, market design, building control system design, and integration of wind power in a smart grid.

  18. GridLAB-D: An Agent-Based Simulation Framework for Smart Grids

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

    Chassin, David P.; Fuller, Jason C.; Djilali, Ned

    2014-01-01T23:59:59.000Z

    Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets that are becoming part of modern electricity production, delivery, and consumption systems. As a result, the US Department of Energy’s Office of Electricity commissioned the development of a new type of power system simulation tool called GridLAB-D that uses an agent-based approach to simulating smart grids. This paper presents the numerical methods and approach to time-series simulation used by GridLAB-D and reviews applications in power system studies, market design, building control systemmore »design, and integration of wind power in a smart grid.« less

  19. PNNL Future Power Grid Initiative-developed GridOPTICS Software System (GOSS)

    SciTech Connect (OSTI)

    None

    2014-11-03T23:59:59.000Z

    The power grid is changing and evolving. One aspect of this change is the growing use of smart meters and other devices, which are producing large volumes of useful data. However, in many cases, the data can’t be translated quickly into actionable guidance to improve grid performance. There's a need for innovative tools. The GridOPTICS(TM) Software System, or GOSS, developed through PNNL's Future Power Grid Initiative, is open source and became publicly available in spring 2014. The value of this middleware is that it easily integrates grid applications with sources of data and facilitates communication between them. Such a capability provides a foundation for developing a range of applications to improve grid management.

  20. IEEE TRANSACTIONS ON SMART GRID, VOL. 2, NO. 4, DECEMBER 2011 643 Guest Editorial

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    IEEE TRANSACTIONS ON SMART GRID, VOL. 2, NO. 4, DECEMBER 2011 643 Guest Editorial Cyber, Physical, and System Security for Smart Grid The vision of a smart grid relies heavily on the information, facilitating the integration of renewable energy sources into the grid, and empowering the consumer with tools

  1. Grid computing and molecular simulations: the vision of the eMinerals project

    E-Print Network [OSTI]

    Cambridge, University of

    1 Grid computing and molecular simulations: the vision of the eMinerals project Martin T Dove1, London WC1E 7HX Abstract This paper discusses a number of aspects of using grid computing methods for a useful grid infrastructure are discussed, including the integration of compute and data grids, automatic

  2. 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.

  3. 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

  4. 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,

  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. Cloud feedback studies with a physics grid

    SciTech Connect (OSTI)

    Dipankar, Anurag [Max Planck Institute for Meteorology Hamburg; Stevens, Bjorn [Max Planck Institute for Meteorology Hamburg

    2013-02-07T23:59:59.000Z

    During this project the investigators implemented a fully parallel version of dual-grid approach in main frame code ICON, implemented a fully conservative first-order interpolation scheme for horizontal remapping, integrated UCLA-LES micro-scale model into ICON to run parallely in selected columns, and did cloud feedback studies on aqua-planet setup to evaluate the classical parameterization on a small domain. The micro-scale model may be run in parallel with the classical parameterization, or it may be run on a "physics grid" independent of the dynamics grid.

  10. 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).

  11. SmartGrid Information | 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 SmartSmartGrid

  12. Effective Grid Utilization: A Technical Assessment and Application Guide; April 2011 - September 2012

    SciTech Connect (OSTI)

    Balser, S.; Sankar, S.; Miller, R.; Rawlins, A.; Israel, M.; Curry, T.; Mason, T.

    2012-09-01T23:59:59.000Z

    In order to more fully integrate renewable resources, such as wind and solar, into the transmission system, additional capacity must be realized in the short term using the installed transmission capacity that exists today. The U.S. Department of Energy (DOE) and the National Renewable Energy Laboratory Transmission and Grid Integration Group supported this study to assemble the history of regulations and status of transmission technology to expand existing grid capacity. This report compiles data on various transmission technology methods and upgrades for increased capacity utilization of the existing transmission system and transmission corridors. The report discusses the technical merit of each method and explains how the method could be applied within the current regulatory structure to increase existing transmission conductor and/or corridor capacity. The history and current state of alternatives to new construction is presented for regulators, legislators, and other policy makers wrestling with issues surrounding integration of variable generation. Current regulations are assessed for opportunities to change them to promote grid expansion. To support consideration of these alternatives for expanding grid capacity, the report lists relevant rules, standards, and policy changes.

  13. 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.

  14. 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.

  15. Grid Integration of Offshore Windparks (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 are8COaBulkTransmissionSitingProcess.pdfGetec AG ContractingGreenOrderNebraska: EnergyStrategy |Information

  16. High-Performance Secure Database Access Technologies for HEP Grids

    SciTech Connect (OSTI)

    Matthew Vranicar; John Weicher

    2006-04-17T23:59:59.000Z

    The Large Hadron Collider (LHC) at the CERN Laboratory will become the largest scientific instrument in the world when it starts operations in 2007. Large Scale Analysis Computer Systems (computational grids) are required to extract rare signals of new physics from petabytes of LHC detector data. In addition to file-based event data, LHC data processing applications require access to large amounts of data in relational databases: detector conditions, calibrations, etc. U.S. high energy physicists demand efficient performance of grid computing applications in LHC physics research where world-wide remote participation is vital to their success. To empower physicists with data-intensive analysis capabilities a whole hyperinfrastructure of distributed databases cross-cuts a multi-tier hierarchy of computational grids. The crosscutting allows separation of concerns across both the global environment of a federation of computational grids and the local environment of a physicist’s computer used for analysis. Very few efforts are on-going in the area of database and grid integration research. Most of these are outside of the U.S. and rely on traditional approaches to secure database access via an extraneous security layer separate from the database system core, preventing efficient data transfers. Our findings are shared by the Database Access and Integration Services Working Group of the Global Grid Forum, who states that "Research and development activities relating to the Grid have generally focused on applications where data is stored in files. However, in many scientific and commercial domains, database management systems have a central role in data storage, access, organization, authorization, etc, for numerous applications.” There is a clear opportunity for a technological breakthrough, requiring innovative steps to provide high-performance secure database access technologies for grid computing. We believe that an innovative database architecture where the secure authorization is pushed into the database engine will eliminate inefficient data transfer bottlenecks. Furthermore, traditionally separated database and security layers provide an extra vulnerability, leaving a weak clear-text password authorization as the only protection on the database core systems. Due to the legacy limitations of the systems’ security models, the allowed passwords often can not even comply with the DOE password guideline requirements. We see an opportunity for the tight integration of the secure authorization layer with the database server engine resulting in both improved performance and improved security. Phase I has focused on the development of a proof-of-concept prototype using Argonne National Laboratory’s (ANL) Argonne Tandem-Linac Accelerator System (ATLAS) project as a test scenario. By developing a grid-security enabled version of the ATLAS project’s current relation database solution, MySQL, PIOCON Technologies aims to offer a more efficient solution to secure database access.

  17. 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.

  18. Vehicle to Grid Demonstration Project

    SciTech Connect (OSTI)

    Willett Kempton; Meryl Gardner; Michael Hidrue; Fouad Kamilev; Sachin Kamboj; Jon Lilley; Rodney McGee; George Parsons; Nat Pearre; Keith Trnka

    2010-12-31T23:59:59.000Z

    This report summarizes the activities and accomplishments of a two-year DOE-funded project on Grid-Integrated Vehicles (GIV) with vehicle to grid power (V2G). The project included several research and development components: an analysis of US driving patterns; an analysis of the market for EVs and V2G-capable EVs; development and testing of GIV components (in-car and in-EVSE); interconnect law and policy; and development and filing of patents. In addition, development activities included GIV manufacturing and licensing of technologies developed under this grant. Also, five vehicles were built and deployed, four for the fleet of the State of Delaware, plus one for the University of Delaware fleet.

  19. Smart Grid Primer (Smart Grid Books) | 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 Home »SmallNew

  20. Grid Interaction Tech Team, and International Smart Grid Collaboration |

    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 YourTransport(Fact Sheet), GeothermalGrid Integration and the Carrying Capacity of the

  1. August 2012 CIP Report Focuses on Smart Grid Security

    Broader source: Energy.gov [DOE]

    The August 2012 issue of The CIP Report from George Mason University's Center for Infrastructure Protection and Homeland Security highlights the significance and challenges to securing the smart grid. The report includes an overview of smart grid security by Deputy Assistant Secretary Hank Kenchington and the findings for reducing cyber risks from the Workshop on Securing the Smart Grid: Best Practices in Supply Chain Security, Integrity, and Resilience.

  2. 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 &...

  3. 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

  4. 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

  5. Insightful Workflow For Grid Computing

    SciTech Connect (OSTI)

    Dr. Charles Earl

    2008-10-09T23:59:59.000Z

    We developed a workflow adaptation and scheduling system for Grid workflow. The system currently interfaces with and uses the Karajan workflow system. We developed machine learning agents that provide the planner/scheduler with information needed to make decisions about when and how to replan. The Kubrick restructures workflow at runtime, making it unique among workflow scheduling systems. The existing Kubrick system provides a platform on which to integrate additional quality of service constraints and in which to explore the use of an ensemble of scheduling and planning algorithms. This will be the principle thrust of our Phase II work.

  6. 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.

  7. Introduction The electric power grid and electric power

    E-Print Network [OSTI]

    of systems" that integrates an end-to-end, advanced com- munications infrastructure into the electric powerIntroduction The electric power grid and electric power industry are undergoing a dramatic transforma- tion. By linking information technologies with the electric power grid--to provide "electricity

  8. 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

  9. 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.

  10. 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.

  11. Microsoft Word - Smart_Grid_Comments_NAF_11.1.10.doc

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

    empowerment by integrating consumer behavior and devices into grid operations for electricity price control, energy usage management, energy trade, renewable energy...

  12. Expanding Buildings-to-Grid (B2G) Objectives in India

    E-Print Network [OSTI]

    Ghatikar, Girish

    2014-01-01T23:59:59.000Z

    Efficiency Demand Response Building-to-Grid RequirementsPolicy Demand Response Market Design Building IntegrationDemand Response Potential Market in Commercial Buildings ..

  13. 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...

  14. 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...

  15. 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.

  16. Networks, smart grids: new model for synchronization

    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:Nanowire Solar541,9337, 2011 at3, Issue 30 NewNetworks, smart grids:

  17. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-AmericaGrid Wabash Valley Power

  18. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-AmericaGrid Wabash Valley

  19. 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

    integration into the Internet ecosphere presents both opportunities and architectural issues for the expansion of the Smart Grid

  20. prismprismNo 258/February 2011 Smarter Grid reSearch centre powerS up

    E-Print Network [OSTI]

    Mottram, Nigel

    the integration of new renewable energy sources, electric vehicles and smart household appliances with the grid and industry leaders to drive forward innovation and efficiencies in energy and smart grid technologiesprismprismNo 258/February 2011 Smarter Grid reSearch centre powerS up The University has unveiled

  1. Survey Paper Cyber security in the Smart Grid: Survey and challenges q

    E-Print Network [OSTI]

    Wang, Wenye

    importantly, with the integration of advanced computing and communication technologies, the Smart GridSurvey Paper Cyber security in the Smart Grid: Survey and challenges q Wenye Wang , Zhuo Lu Accepted 29 December 2012 Available online 17 January 2013 Keywords: Smart Grid Cyber security Attacks

  2. Chain ReAKTing: Collaborative Advanced Knowledge Technologies in the Combechem Grid

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    and the Combechem grid. The deeper integration supports the publication at source research objective of Combechem.g. the smart laboratory (smart- tea.org), grid-enabled instrumentation, data tracking for analysis, methodologyChain ReAKTing: Collaborative Advanced Knowledge Technologies in the Combechem Grid Michelle

  3. Grid Cell Hexagonal Patterns Formed by Fast Self-Organized Learning Within Entorhinal Cortex

    E-Print Network [OSTI]

    Spence, Harlan Ernest

    integration; spatial navigation INTRODUCTION A Hierarchy of Self-Organizing Maps The discovery of grid cells how an entorhinal-hip- pocampal self-organizing map can learn the relationships between grid cellGrid Cell Hexagonal Patterns Formed by Fast Self-Organized Learning Within Entorhinal Cortex

  4. Sandia National Laboratories - Grid Integration Collaborations

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

    Standards Organizations - Underwriters Laboratory - Institute of Electrical and Electronics Engineers - National Institute of Standards and Technology - North American...

  5. Semantic Information Integration for Smart Grid Applications*

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    practices for other utilities. Demand response optimization (DR) is one of the key goals of the project [2 techniques to bring about a quantum leap in the way demand response load optimization is performed architecture for demand response optimization (USC and Yogesh Simmhan · Viktor Prasanna Ming Hsieh Department

  6. 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...

  7. Sandia National Laboratories: Transmission 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...

  8. Buildings to Grid Integration & Interoperability

    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: Theof Energy FutureDepartment of EnergyRolandBuildingDepartment

  9. Opening Remarks, Grid Integration Initiative Overview

    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'tOrigin of Contamination in ManyDepartment ofOil's Impact onDepartmentDepartment of

  10. 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

  11. Reliability Considerations from Integration of Smart 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 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuary 29,3, 2012VisitorsThis pageA

  12. 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

  13. Transmission 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'tOriginEducationVideoStrategic|IndustrialCenter Gets People Work,Amy7AUnderstanding' %

  14. Articles about Grid Integration and Transmission

    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 Data Center Home Page onYouTube YouTube Note: Since the YouTube platform is alwaysISOSource Heat 1PowerofSystems | DepartmentArticle 295161

  15. DOD/NREL Model Integrates Vehicles, Renewables & Microgrid (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-02-01T23:59:59.000Z

    Fact sheet on microgrid model created by the Electric Vehicle Grid Integration program at the Fort Carson Army facility.

  16. 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

  17. 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.

  18. 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.

  19. Renewable Energy Integration and the Impact of Carbon Regulation

    E-Print Network [OSTI]

    Renewable Energy Integration and the Impact of Carbon Regulation on the Electric Grid Future Grid the Future Electric Energy System #12;Thrust Area 3 White Paper Renewable Energy Integration and the Impact. #12;ii Executive Summary The integration of renewable energy resources into the power grid is driven

  20. 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.

  1. A Security Architecture for Data Aggregation and Access Control in Smart Grids

    E-Print Network [OSTI]

    Ruj, Sushmita; Stojmenovic, Ivan

    2011-01-01T23:59:59.000Z

    We propose an integrated architecture for smart grids, that supports data aggregation and access control. Data can be aggregated by home area network, building area network and neighboring area network in such a way that the privacy of customers is protected. We use homomorphic encryption technique to achieve this. The consumer data that is collected is sent to the substations where it is monitored by remote terminal units (RTU). The proposed access control mechanism gives selective access to consumer data stored in data repositories and used by different smart grid users. Users can be maintenance units, utility centers, pricing estimator units or analyzing and prediction groups. We solve this problem of access control using cryptographic technique of attribute-based encryption. RTUs and users have attributes and cryptographic keys distributed by several key distribution centers (KDC). RTUs send data encrypted under a set of attributes. Users can decrypt information provided they have valid attributes. The ac...

  2. Integration of Renewable Resources November 2007

    E-Print Network [OSTI]

    Integration of Renewable Resources November 2007 Transmission and operating issues and recommendations for integrating renewable resources on the California ISO-controlled Grid California Independent System Operator #12;CAISO Integration of Renewable Resources Members of the Renewables Workgroup

  3. Silicon ball grid array chip carrier

    DOE Patents [OSTI]

    Palmer, David W. (Albuquerque, NM); Gassman, Richard A. (Greensboro, NC); Chu, Dahwey (Albuquerque, NM)

    2000-01-01T23:59:59.000Z

    A ball-grid-array integrated circuit (IC) chip carrier formed from a silicon substrate is disclosed. The silicon ball-grid-array chip carrier is of particular use with ICs having peripheral bond pads which can be reconfigured to a ball-grid-array. The use of a semiconductor substrate such as silicon for forming the ball-grid-array chip carrier allows the chip carrier to be fabricated on an IC process line with, at least in part, standard IC processes. Additionally, the silicon chip carrier can include components such as transistors, resistors, capacitors, inductors and sensors to form a "smart" chip carrier which can provide added functionality and testability to one or more ICs mounted on the chip carrier. Types of functionality that can be provided on the "smart" chip carrier include boundary-scan cells, built-in test structures, signal conditioning circuitry, power conditioning circuitry, and a reconfiguration capability. The "smart" chip carrier can also be used to form specialized or application-specific ICs (ASICs) from conventional ICs. Types of sensors that can be included on the silicon ball-grid-array chip carrier include temperature sensors, pressure sensors, stress sensors, inertia or acceleration sensors, and/or chemical sensors. These sensors can be fabricated by IC processes and can include microelectromechanical (MEM) devices.

  4. Earth System Grid II, Turning Climate Datasets into Community Resources

    SciTech Connect (OSTI)

    Middleton, Don

    2006-08-01T23:59:59.000Z

    The Earth System Grid (ESG) II project, funded by the Department of Energy’s Scientific Discovery through Advanced Computing program, has transformed climate data into community resources. ESG II has accomplished this goal by creating a virtual collaborative environment that links climate centers and users around the world to models and data via a computing Grid, which is based on the Department of Energy’s supercomputing resources and the Internet. Our project’s success stems from partnerships between climate researchers and computer scientists to advance basic and applied research in the terrestrial, atmospheric, and oceanic sciences. By interfacing with other climate science projects, we have learned that commonly used methods to manage and remotely distribute data among related groups lack infrastructure and under-utilize existing technologies. Knowledge and expertise gained from ESG II have helped the climate community plan strategies to manage a rapidly growing data environment more effectively. Moreover, approaches and technologies developed under the ESG project have impacted datasimulation integration in other disciplines, such as astrophysics, molecular biology and materials science.

  5. 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.

  6. 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

  7. Pacific Northwest Smart Grid Demonstration Project

    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 RenewableSpeedingBiomassPPPO Website Directory PPPOLarson.CherylPacific

  8. National Wind Technology Center Controllable Grid Interface

    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:Nanowire Solar EnergyKambaraorRENEWABLE MobileResourcesVahan

  9. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators

  10. 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.

  11. NREL: Energy Systems Integration Facility - Integrated Deployment Workshop

    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 Integration NREL is spearheadingIntegrated Deployment Workshop

  12. 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)

  13. Sandia National Laboratories: photovoltaic systems integration

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

    Photovoltaic Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The...

  14. NREL: Energy Systems Integration Home Page

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

    Systems Integration News to learn what's happening in ESI at NREL and beyond. Photo of solar panels with the words 'Redefining What's Possible for Renewable Energy: Grid...

  15. 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...

  16. 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    

  17. 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

  18. 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....

  19. 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 ...

  20. Modelling Chinese Smart Grid: A Stochastic Model Checking Case Study

    E-Print Network [OSTI]

    Yüksel, Ender; Nielson, Flemming; Zhu, Huibiao; Huang, Heqing

    2012-01-01T23:59:59.000Z

    Cyber-physical systems integrate information and communication technology functions to the physical elements of a system for monitoring and controlling purposes. The conversion of traditional power grid into a smart grid, a fundamental example of a cyber-physical system, raises a number of issues that require novel methods and applications. In this context, an important issue is the verification of certain quantitative properties of the system. In this technical report, we consider a specific Chinese Smart Grid implementation and try to address the verification problem for certain quantitative properties including performance and battery consumption. We employ stochastic model checking approach and present our modelling and analysis study using PRISM model checker.

  1. Integrated Retail & Wholesale Power System Operation

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Integrated Retail & Wholesale Power System Operation with Smart-Grid Functionality PIs: Dionysios Retail/Wholesale Power System Operation with Smart-Grid Functionality Project PIs: Dionysios Aliprantis (open-source release): AMES Wholesale Power Market Testbed (ISU) + GridLAB-D distribution platform (DOE

  2. 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.

  3. Wide-area situation awareness in electric power grid

    SciTech Connect (OSTI)

    Greitzer, Frank L.

    2010-04-28T23:59:59.000Z

    Two primary elements of the US energy policy are demand management and efficiency and renewable sources. Major objectives are clean energy transmission and integration, reliable energy transmission, and grid cyber security. Development of the Smart Grid seeks to achieve these goals by lowering energy costs for consumers, achieving energy independence and reducing greenhouse gas emissions. The Smart Grid is expected to enable real time wide-area situation awareness (SA) for operators. Requirements for wide-area SA have been identified among interoperability standards proposed by the Federal Energy Regulatory Commission and the National Institute of Standards and Technology to ensure smart-grid functionality. Wide-area SA and enhanced decision support and visualization tools are key elements in the transformation to the Smart Grid. This paper discusses human factors research to promote SA in the electric power grid and the Smart Grid. Topics that will be discussed include the role of human factors in meeting US energy policy goals, the impact and challenges for Smart Grid development, and cyber security challenges.

  4. 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.

  5. 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.

  6. 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...

  7. 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

  8. Improving Grid Performance with Electric Vehicle Charging 2011San Diego Gas & Electric Company. All copyright and trademark rights reserved.

    E-Print Network [OSTI]

    California at Davis, University of

    Improving Grid Performance with Electric Vehicle Charging © 2011San Diego Gas & Electric Company · Education SDG&E Goal ­ Grid Integrated Charging · More plug-in electric vehicles · More electric grid to a hairdryer) per PEV in the population · Instantaneous demand, 40 all-electric vehicles for one day (8

  9. Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01T23:59:59.000Z

    The Systems Integration (SI) subprogram works closely with industry, universities, and the national laboratories to overcome technical barriers to the large-scale deployment of solar technologies. To support these goals, the subprogram invests primarily in four areas: grid integration, technology validation, solar resource assessment, and balance of system development.

  10. Integration of Behind-the-Meter PV Fleet Forecasts into Utility...

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

    Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations Clean...

  11. NWTC Controllable Grid Interface (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-02-01T23:59:59.000Z

    NREL's Controllable Grid Interface tests wind turbines off-line from the grid, verifies compliance with standards, and provides grid operators with the performance information they need for a faction of the time and cost it would take to test the turbine in the field. To understand the behavior of wind turbines during grid disturbances, manufacturers and utility grid operators need to perform a series of tests and accurate transient simulation studies. The latest edition of the IEC 61400-21 standard describes methods for such tests that include low voltage ride-through (LVRT), active power set-point control, ramp rate limitations, and reactive power capability tests. The IEC methods are being widely adopted on both national and international levels by wind turbine manufacturers, certification authorities, and utilities. Utility operators also need to estimate how much power wind turbines might be able provide to help regulate grid frequency during situations when they need additional energy quickly, and after design modifications or changes are made to control software, manufacturers may be required to retest their turbines. But testing wind turbines in the field can be a lengthy and expensive process often requiring manufacturers and utility operators to send equipment and personnel to remote locations for long periods of time. NREL's National Wind Technology Center (NWTC) has developed a new Controllable Grid Interface (CGI) test system that can significantly reduce the time and cost required to conduct these tests. The CGI is first test facility in the United States that has fault simulation capabilities and allows manufacturers and system operators to conduct the tests required for certification in a controlled laboratory environment. It is the only system in the world that is fully integrated with two dynamometers and has the capacity to extend that integration to turbines in the field and to a matrix of electronic and mechanical storage devices, all of which are located within close proximity on the same site. NREL's 7.5 MVA CGI tests wind turbines off-line from the grid, verifies compliance with standards, and provides grid operators with the performance information they need for a fraction of the time and cost it would take to test the turbine in the field. The system combines hardware and real-time control software and is designed to operate with the NWTC's 2.5-MW dynamometer as well as the center's new 5-MW dynamometer test facilities. It is designed to work with four types of wind turbines, photovoltaic systems, and energy storage inverters. Results from the dynamometer tests can also be used to fine tune and validate the dynamic models used in integration studies and help industry improve turbine performance and develop test standards for renewable technologies and energy storage.

  12. Java Parallel Secure Stream for Grid Computing

    SciTech Connect (OSTI)

    Chen, Jie; Akers, Walter; Chen, Ying; Watson, William

    2001-09-01T23:59:59.000Z

    The emergence of high speed wide area networks makes grid computing a reality. However grid applications that need reliable data transfer still have difficulties to achieve optimal TCP performance due to network tuning of TCP window size to improve the bandwidth and to reduce latency on a high speed wide area network. This paper presents a pure Java package called JPARSS (Java Par-allel Secure Stream) that divides data into partitions that are sent over several parallel Java streams simultaneously and allows Java or Web applications to achieve optimal TCP performance in a gird environment without the necessity of tuning the TCP window size. Several experimental results are provided to show that using parallel stream is more effective than tuning TCP window size. In addi-tion X.509 certificate based single sign-on mechanism and SSL based connection establishment are integrated into this package. Finally a few applications using this package will be discussed.

  13. 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

  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. 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

  17. 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

  18. 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

  19. 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.

  20. 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...

  1. 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.

  2. 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...

  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. 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.

  5. 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

  6. NREL: Energy Systems Integration - Solectria

    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 Integration NREL is spearheading engineering

  7. NREL: Energy Systems 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 Integration NREL is spearheading engineeringWebmaster Please

  8. ASD Groups | Advanced Photon Source

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

    ASD Groups Accelerator Operations and Physics Applies integrated expertise in accelerator physics, operations techniques, safety systems, software development, and numerical...

  9. Power Grid Optimization | GE Global Research

    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 forPortsmouth/Paducah Project OfficePower Electronics Power Electronics Power w w w.pv

  10. Smart Grid Environmental Benefits … Part 2

    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 Home »SmallNew RFID

  11. What will the Smart Grid Look Like?

    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 OurThe Iron SpinPrincetonUsingWhat is a “Shut-down” in theWhat waters does

  12. Grid Interaction Tech Team | 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 YourTransport(Fact Sheet), GeothermalGrid Integration and the Carrying Capacity of the U.S.

  13. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolent solar2030

  14. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolent solar2030NETL

  15. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolent

  16. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolentActivities 1

  17. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolentActivities 1FERC -

  18. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolentActivities 1FERC

  19. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolentActivities

  20. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolentActivitiesSmart

  1. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolentActivitiesSmart An

  2. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators Figure-eightviolentActivitiesSmart

  3. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America Regulatory Conference Joe

  4. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America Regulatory Conference

  5. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America Regulatory ConferencePSC

  6. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America Regulatory

  7. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America RegulatoryJoe Miller -

  8. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America RegulatoryJoe Miller

  9. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America RegulatoryJoe

  10. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America RegulatoryJoeBuilding the

  11. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America RegulatoryJoeBuilding

  12. Principal Characteristics of a Modern 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 Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-America

  13. ORNL group leads calorimeter upgrade for Large Hadron Collider experiment |

    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:Nanowire3627Homeland SecurityJonathan Mbah andORNLornl.gov group

  14. Richard Gerber! Deputy Group Lead
 NERSC User Services

    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 Protection TechnicalResonant Soft X-RayReview/Verify3 TheRichardDeputy Group

  15. Combustion Group Group members

    E-Print Network [OSTI]

    Wang, Wei

    Combustion Group Group members: Thierry Poinsot, Emilien Courtine, Luc Vervisch, Benjamin Farcy 2014 #12;Combustion Group Combustion Physics and Modeling Pollutants, Emissions, and Soot Formation Thermoacoustics and Combustion Dynamics Research focus § Examine mechanisms responsible for flame stabilization

  16. A Distortion-Theoretic Perspective for Redundant Metering Security in a Smart Grid

    E-Print Network [OSTI]

    Kundur, Deepa

    A Distortion-Theoretic Perspective for Redundant Metering Security in a Smart Grid Mustafa El--In a smart grid environment some customers employ third-party meters and terminals for integrity verification of the smart meter power measurements reported by the electric utility company. We address the security issues

  17. SECURITY OF SMART GRID Weichao Wang (UNCC), Yi Pan (Georgia State),

    E-Print Network [OSTI]

    Wang, Weichao

    storage devices Local power generation Digital sensors and controls Real-time data Real-time price signals to purchase power based on dynamic pricing; Improved quality of power: less wastage; Integration of large variety of generation options; PRIMARY OBJECTIVES OF SMART GRIDS 3 #12;SMART GRID ARCHITECTURE Energy

  18. Greenbench: A Benchmark for Observing Power Grid Vulnerability Under Data-Centric Threats

    E-Print Network [OSTI]

    Wang, Wenye

    Greenbench: A Benchmark for Observing Power Grid Vulnerability Under Data-Centric Threats Mingkui infrastructure and begins to show its inability as the demand for power delivery and consumption boosts in recent power grid. This integration, however, brings a new host of vulnerabilities stem from Internet and opens

  19. Optimal Control of a Grid-Connected Hybrid Electrical Energy Storage System for Homes

    E-Print Network [OSTI]

    Pedram, Massoud

    . There are several ways to perform such a demand side management [3]. In this paper, we focus on integrating PV power companies can employ dynamic electricity pricing strategies incentivizing consumers to perform demand side management by adjusting their power demand from the Grid to match the power generation capacity of the Grid

  20. Smart Grid Interoperability Maturity Model Beta Version

    SciTech Connect (OSTI)

    Widergren, Steven E.; Drummond, R.; Giroti, Tony; Houseman, Doug; Knight, Mark; Levinson, Alex; longcore, Wayne; Lowe, Randy; Mater, J.; Oliver, Terry V.; Slack, Phil; Tolk, Andreas; Montgomery, Austin

    2011-12-02T23:59:59.000Z

    The GridWise Architecture Council was formed by the U.S. Department of Energy to promote and enable interoperability among the many entities that interact with the electric power system. This balanced team of industry representatives proposes principles for the development of interoperability concepts and standards. The Council provides industry guidance and tools that make it an available resource for smart grid implementations. In the spirit of advancing interoperability of an ecosystem of smart grid devices and systems, this document presents a model for evaluating the maturity of the artifacts and processes that specify the agreement of parties to collaborate across an information exchange interface. You are expected to have a solid understanding of large, complex system integration concepts and experience in dealing with software component interoperation. Those without this technical background should read the Executive Summary for a description of the purpose and contents of the document. Other documents, such as checklists, guides, and whitepapers, exist for targeted purposes and audiences. Please see the www.gridwiseac.org website for more products of the Council that may be of interest to you.

  1. 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

  2. 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

  3. Power Grid Data Analysis with R and Hadoop

    SciTech Connect (OSTI)

    Hafen, Ryan P.; Gibson, Tara D.; Kleese van Dam, Kerstin; Critchlow, Terence J.

    2014-01-01T23:59:59.000Z

    This book chapter presents an approach to analysis of large-scale time-series sensor information based on our experience with power grid data. We use the R-Hadoop Integrated Programming Environment (RHIPE) to analyze a 2TB data set and present code and results for this analysis.

  4. How Stochastic Network Calculus Concepts Help Green the Power Grid

    E-Print Network [OSTI]

    Low, Steven H.

    optimization techniques for hybrid PV/wind systems sizing have been proposed in the liter- ature [12 the feasibility of integrating solar photovoltaic (PV) panels and wind turbines into the grid. To deal into the power system of an island off the coast of Southern California. Performance of the hybrid system under

  5. 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...

  6. 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...

  7. SCM Working Group

    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 Release PrintedDEVIATIONS F O R NEUTRINO

  8. SCM Working Group

    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 Release PrintedDEVIATIONS F O R NEUTRINOcloud

  9. Radiative Processes Working Group

    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 Protection Radiation Protection Regulations: The

  10. 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.

  11. 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...

  12. 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

  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. 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 ...

  15. 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?

  16. Maturity Model for Advancing Smart Grid Interoperability

    SciTech Connect (OSTI)

    Knight, Mark; Widergren, Steven E.; Mater, J.; Montgomery, Austin

    2013-10-28T23:59:59.000Z

    Abstract—Interoperability is about the properties of devices and systems to connect and work properly. Advancing interoperability eases integration and maintenance of the resulting interconnection. This leads to faster integration, lower labor and component costs, predictability of projects and the resulting performance, and evolutionary paths for upgrade. When specifications are shared and standardized, competition and novel solutions can bring new value streams to the community of stakeholders involved. Advancing interoperability involves reaching agreement for how things join at their interfaces. The quality of the agreements and the alignment of parties involved in the agreement present challenges that are best met with process improvement techniques. The GridWise® Architecture Council (GWAC) sponsored by the United States Department of Energy is supporting an effort to use concepts from capability maturity models used in the software industry to advance interoperability of smart grid technology. An interoperability maturity model has been drafted and experience is being gained through trials on various types of projects and community efforts. This paper describes the value and objectives of maturity models, the nature of the interoperability maturity model and how it compares with other maturity models, and experiences gained with its use.

  17. 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.

  18. NREL: News - NREL Partnerships to Help the Grid Accommodate More Renewable

    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 Integration NREL isDataWorkingVoltage0214 NREL

  19. National Grid Generation, LLC | 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 SiteofEvaluatingGroup |JilinLuOpen Energy Information NationalNational Grid Generation,

  20. Strategies and Decision Support Systems for Integrating Variable...

    Open Energy Info (EERE)

    Strategies and Decision Support Systems for Integrating Variable Energy Resources in Control Centers for Reliable Grid Operations: Global Best Practices, Examples of Excellence and...

  1. Analysis of Mesoscale Model Data for Wind Integration (Poster)

    SciTech Connect (OSTI)

    Schwartz, M.; Elliott, D.; Lew, D.; Corbus, D.; Scott, G.; Haymes, S.; Wan, Y. H.

    2009-05-01T23:59:59.000Z

    Supports examination of implications of national 20% wind vision, and provides input to integration and transmission studies for operational impact of large penetrations of wind on the grid.

  2. 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...

  3. 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,...

  4. 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,...

  5. 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,...

  6. 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...

  7. 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)...

  8. 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...

  9. 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...

  10. 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.

  11. 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.

  12. NREL: Sustainable NREL - Energy Systems Integration Facility

    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 Integration NRELCost of6DataEnergy Systems Integration

  13. Combustion Group Group members

    E-Print Network [OSTI]

    Wang, Wei

    Combustion Group Group members: Thierry Poinsot, Emilien Courtine, Luc Vervisch, Benjamin Farcy § New combustion and energy-conversion concepts #12;Introduction Combustion research thrusts Combustion Dynamics and Flame-Stabilization Research objectives § Obtain fundamental understanding of combustion

  14. This is the preprint of an article which appeared in the Austrian Grid Sym-posium Proceedings as published by the Austrian Computer Society (http

    E-Print Network [OSTI]

    Uhl, Andreas

    This is the preprint of an article which appeared in the Austrian Grid Sym- posium Proceedings Abstract. GVid is a Grid service that enables the secure and transparent integration and develop- ment of graphical user interface applications in the Grid. It separates the potentially computation- ally complex

  15. Prospects for Grid-Computing in Future Power Networks Prof. Malcolm Irving1

    E-Print Network [OSTI]

    Taylor, Gary

    Prospects for Grid-Computing in Future Power Networks Prof. Malcolm Irving1 , Dr. Gareth Taylor1 , Dr. Peter Hobson2 28 October 2003 1 Brunel Institute of Power Systems 2 SIRE Group Department to alert the power system community to the concept of Grid-computing and to initiate a discussion of its

  16. 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.

  17. 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....

  18. Discrete fracture modeling for fractured reservoirs using Voronoi grid blocks

    E-Print Network [OSTI]

    Gross, Matthew Edward

    2007-09-17T23:59:59.000Z

    or pseudofracture groups modeled in their own grid blocks. Discrete Fracture Modeling (DFN) is still a relatively new field, and most research on it up to this point has been done with Delaunay tessellations. This research investigates an alternative approach using...

  19. Optimization and integration of renewable energy sources on a community scale using Artificial Neural Networks and Genetic Algorithms

    E-Print Network [OSTI]

    Davis, Bron

    2011-01-01T23:59:59.000Z

    in the Integration of Renewable Energy into the Smart Grid."Challenges of Integrating Renewable Energy into Electricitythe United States." Renewable Energy 34 (2009): 1270- 1278.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. Numerical solution of plasma fluid equations using locally refined grids

    SciTech Connect (OSTI)

    Colella, P., LLNL

    1997-01-26T23:59:59.000Z

    This paper describes a numerical method for the solution of plasma fluid equations on block-structured, locally refined grids. The plasma under consideration is typical of those used for the processing of semiconductors. The governing equations consist of a drift-diffusion model of the electrons and an isothermal model of the ions coupled by Poisson's equation. A discretization of the equations is given for a uniform spatial grid, and a time-split integration scheme is developed. The algorithm is then extended to accommodate locally refined grids. This extension involves the advancement of the discrete system on a hierarchy of levels, each of which represents a degree of refinement, together with synchronization steps to ensure consistency across levels. A brief discussion of a software implementation is followed by a presentation of numerical results.

  5. 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

  6. 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

  7. 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

  8. 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

  9. GridWise Alliance: Smart Grid RFI: Addressing Policy and Logistical

    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 YourTransport(Fact Sheet), GeothermalGrid Integration and the Carrying Capacity1Challenges |

  10. Open Grid Forum

    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)IntegratedSpeeding access toTest and Evaluation |quasicrystals65 (9/12)

  11. 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...

  12. 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 ...

  13. EconoGrid: A detailed Simulation Model of a Standards-based Grid Compute Economy

    E-Print Network [OSTI]

    EconoGrid: A detailed Simulation Model of a Standards-based Grid Compute Economy EconoGrid is a detailed simulation model, implemented in SLX1 , of a grid compute economy that implements selected of users. In a grid compute economy, computing resources are sold to users in a market where price

  14. A Core Grid Ontology for the Semantic Grid Wei Xing Marios D. Dikaiakos

    E-Print Network [OSTI]

    Pallis, George

    A Core Grid Ontology for the Semantic Grid Wei Xing Marios D. Dikaiakos Department of Computer, we propose a Core Grid Ontology (CGO) that defines fundamental Grid-specific concepts, and the re- lationships between them. One of the key goals is to make this Core Grid Ontology general enough and easily

  15. Modeling and Grid impedance Variation Analysis of Parallel Connected Grid Connected Inverter

    E-Print Network [OSTI]

    Bak, Claus Leth

    Modeling and Grid impedance Variation Analysis of Parallel Connected Grid Connected Inverter based in the same grid interface conditions by means of impedance-based analysis and modeling. Unlike the single grid connected inverter, it is found that multiple parallel connected inverters and grid impedance can

  16. What is a Grid? Grid Today, AUGUST 12, 2002: VOL. 1 NO. 9

    E-Print Network [OSTI]

    What is a Grid? Grid Today, AUGUST 12, 2002: VOL. 1 NO. 9 (http://www.gridtoday.com/02/0812/020812.html) I would like to provide perspective on the question of what is a Grid - a perspective derived from several years of building production Grids. For a significant segment of the Grid community, most

  17. Analysis of grid imprinting on geodesic spherical icosahedral grids Pedro S. Peixoto, Saulo R. M. Barros

    E-Print Network [OSTI]

    Analysis of grid imprinting on geodesic spherical icosahedral grids Pedro S. Peixoto, Saulo R. M-090 S~ao Paulo, Brazil Abstract Numerical grid imprinting errors have often been observed in global atmospheric models on icosahedral grids. In this paper we analyse the sources of grid imprinting error related

  18. Voltage grid support of DFIG wind turbines during grid faults Anca D. Hansen1

    E-Print Network [OSTI]

    Voltage grid support of DFIG wind turbines during grid faults Anca D. Hansen1 , Gabriele Michalke2 Abstract The fault ride-through and grid support capabilities of the doubly fed induction generator (DFIG and their contribution to support the grid, i.e. to the voltage control in the power system, during grid faults

  19. GRID-Launcher v.1.0

    E-Print Network [OSTI]

    N. Deniskina; M. Brescia; S. Cavuoti; G. d'Angelo; O. Laurino; G. Longo

    2008-06-06T23:59:59.000Z

    GRID-launcher-1.0 was built within the VO-Tech framework, as a software interface between the UK-ASTROGRID and a generic GRID infrastructures in order to allow any ASTROGRID user to launch on the GRID computing intensive tasks from the ASTROGRID Workbench or Desktop. Even though of general application, so far the Grid-Launcher has been tested on a few selected softwares (VONeural-MLP, VONeural-SVM, Sextractor and SWARP) and on the SCOPE-GRID.

  20. Renewable Generation and Interconnection to the Electrical Grid in Southern California

    Broader source: Energy.gov [DOE]

    Presentation covers the topic of "Renewable Generation and Interconnection to the Electrical Grid in Southern California," given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.