Optimal Power Flow Incorporating Voltage Collapse Constraints
CaĆ±izares, Claudio A.
Optimal Power Flow Incorporating Voltage Collapse Constraints William Rosehart Claudio Ca on the current operating con- ditions is presented. Second, an Optimal Power Flow formulation that incorporates: Voltage Collapse, Optimal Power Flow, Bifur- cations. I. Introduction As open-access market principles
Global Optimization of Optimal Power Flow
Grossmann, Ignacio E.
/03/2013 4 Power balance Power flows Physical limits Nonconvex constraints #12;8/26/2013 2 SDP Relaxation renewables into the grid e.g., Wind: Hard to forecast. Base load power plants cannot change their output problems. Multi-Period OPF Formulation 12/03/2013 9 Power balance Power flows Physical limits Storage
Optimal Power Flow Based Demand Response Offer Price Optimization
Lavaei, Javad
Optimal Power Flow Based Demand Response Offer Price Optimization Zhen Qiu 1 Introduction-time energy balance. Demand response programs are offered by the utility companies to reduce the load response cost in exchange for load reduction. A considerable amount of papers have discussed the demand
A COMPUTATIONAL ANALYSIS OF THE OPTIMAL POWER FLOW PROBLEM
algorithms to handle this problem for the e - 1 security constrained optimal power flow problem. We also.3. The MATPOWER package 4 2.4. Graph theoretic notions 4 3. Security constrained optimal power flow 5 3, such as the breakdown of a generator or a fault in some transmission line. The importance of being able to supply power
Inexactness of SDP Relaxation for Optimal Power Flow over Radial ...
Burak Kocuk
2014-10-03T23:59:59.000Z
Oct 3, 2014 ... Abstract: It has been recently proven that the semidefinite programming (SDP) relaxation of the optimal power flow problem over radial ...
Multi-objective Optimal Power Flows to Evaluate Voltage Security Costs in Power Networks
CaĆ±izares, Claudio A.
1 Multi-objective Optimal Power Flows to Evaluate Voltage Security Costs in Power Networks William Abstract-- In this paper, new optimal power flow (OPF) tech- niques are proposed based on multi- dard power flow models. The results obtained using the proposed mixed OPFs are compared and analyzed
Stability-Constrained Optimal Power Flow and Its Application to Pricing Power System Stabilizers
Cańizares, Claudio A.
1 Stability-Constrained Optimal Power Flow and Its Application to Pricing Power System Stabilizers locational marginal prices. A power system stabilizer (PSS) is then introduced in the test system Terms-- Angle stability, power system oscillations, elec- tricity markets, optimal power flow
An Optimal Power Flow (OPF) Method with Improved Power System Stability
Chen, Zhe
An Optimal Power Flow (OPF) Method with Improved Power System Stability Chi Su, Zhe Chen Department corresponding to certain critical oscillation modes. Power system stabilizer (PSS) and thyristor controlled an optimal power flow (OPF) method taking into account small signal stability as additional constraints
DC Optimal Power Flow: Uniqueness and Chee Wei Tan
Tan, Chee Wei
and are computationally fast for practical smart power grids. I. BACKGROUND The Optimal Power Flow (OPF) problem network. The DC-OPF can be practically important in a smart grid, where there are renewables, e.g., solar implications on how algorithms can be designed to solve the OPF in a smart grid. Different from prior work
Probabilistic Optimal Power Flow Applications to Electricity Markets
CaĆ±izares, Claudio A.
of electricity markets, special attention is paid to the uncertainty in Locational Marginal Prices (LMPs], [2]. In markets based on optimal power flows (OPF) to calculate electricity prices, one may use prices. Since OPF is a deterministic tool, it is necessary to complete many simulations to en- compass
Nonlinear optimal power flow 1.0 Some introductory comments
McCalley, James D.
1 Nonlinear optimal power flow 1.0 Some introductory comments Although the LPOPF does bring computation. We will also see that the NLOPF admits additional control capabilities that can be very useful Define: ng: number of generators N: number of buses x: state vector u: control vector Ei
Security Constrained Optimal Power Flow 1.0 Introduction and notation
McCalley, James D.
1 Security Constrained Optimal Power Flow 1.0 Introduction and notation Figure 1 below compares the optimal power flow (OPF) with the security-constrained optimal power flow (SCOPF). Fig. 1 Some comments normal flow moves from just 100% of continuous rating. SCOPF differs from an OPF solution
Zero Duality Gap in Optimal Power Flow Problem Javad Lavaei and Steven H. Low
Low, Steven H.
power flow (OPF) problem deals with finding an optimal operating point of a power system that mini1 Zero Duality Gap in Optimal Power Flow Problem Javad Lavaei and Steven H. Low Abstract--The optimal power flow (OPF) problem is nonconvex and generally hard to solve. In this paper, we propose
Optimal mixing and optimal stirring for fixed energy, fixed power or fixed palenstrophy flows
Novikov, Alexei
Optimal mixing and optimal stirring for fixed energy, fixed power or fixed palenstrophy flows-time perfect mixing with a finite energy constraint on the stirring flow. On the other hand, using techniques, University of Michigan, Ann Arbor, MI 48109 (Dated: 31 March 2012) We consider passive scalar mixing
Outage Detection in Power Distribution Networks with Optimally-Deployed Power Flow Sensors
Zhao, Yue
Outage Detection in Power Distribution Networks with Optimally-Deployed Power Flow Sensors Yue Zhao deployed real-time power flow sensors and that of load estimates via Advanced Metering Infrastructure (AMI of Naval Research, under Grant N00014-12-1-0767. where supervisory control and data acquisition (SCADA
Optimal Power Flow of Multiple Energy Carriers(Geidl and Andersson...
system planning The methods used in the paper are linear deterministic system without control signal, optimal power flow and economic dispatch The proposed method stabilized...
Bukhsh, Waqquas Ahmed
2014-07-01T23:59:59.000Z
Optimization plays a central role in the control and operation of electricity power networks. In this thesis we focus on two very important optimization problems in power systems. The first is the optimal power flow ...
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 15, NO. 2, MAY 2000 535 Stability-Constrained Optimal Abstract--Stability is an important constraint in power system operation. Often trial and error heuristics in the context of a 162-bus system. Index Terms--Power System, Transient Stability, Optimal Power Flow, Numerical
Edinburgh Research Explorer Local solutions of the optimal power flow problem
Millar, Andrew J.
law (KVL), which describes the flow of power in transmission lines, and is a nonlinear function of bus is to find a steady state operating point that minimizes the cost of electric power generation whileEdinburgh Research Explorer Local solutions of the optimal power flow problem Citation
1464 IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 3, SEPTEMBER 2013 Distributed Optimal Power Flow
Giannakis, Georgios
--Distributed optimization, distribution feeders, microgrids, optimal power flow, semidefinite relaxation. I. INTRODUCTION MICROGRIDS are portions of a power distribution net- work located downstream of the distribution substation) and energy storage devices [1]. A microgrid can operate in either grid-connected, islanded, or hybrid modes
Structure-exploiting interior point methods for security constrained optimal power flow problems
Chiang, Naiyuan
2013-07-01T23:59:59.000Z
The aim of this research is to demonstrate some more efficient approaches to solve the n-1 security constrained optimal power flow (SCOPF) problems by using structure-exploiting primal-dual interior point methods ...
Jacobian Singularities in Optimal Power Flow Problems Caused by Intertemporal Constraints
Li, Xin
that are time-dependent such as generator ramp limits and specifically energy storage constraints may cause on the Newton-Raphson al- gorithm are widely used to solve Optimal Power Flow (OPF) and Economic Dispatch a storage device is integrated into a multi-timestep OPF problem and the optimal solution
Low, Steven H.
to optimize a certain objective function, such as power loss, generation cost and/or user utilities, subject Power Flow Part II: Exactness Steven H. Low Electrical Engineering, Computing+Mathematical Sciences recent advances in the convex relaxation of the optimal power flow (OPF) problem, focusing on structural
Cornell University Ithaca, NY 14853 Abstract Stability is an important constraint in power system1 A Transient Stability Constrained Optimal Power Flow Deqiang Gan (M) Robert J. Thomas (F) Ray D. The methodology involves a stability constrained Optimal Power Flow (OPF). The theoretical development
A TWO-STAGE APPROACH TO SOLVING LARGE-SCALE OPTIMAL POWER FLOWS
Gross, George
A TWO-STAGE APPROACH TO SOLVING LARGE-SCALE OPTIMAL POWER FLOWS *F e l i x F. Wu George Gross James problem is formulated as an unconstrained minimization problem using penalty functions and i s solved ] and Sasson and Merrill [ 3 ] . The s i z e and t h e extensive amount of computation involved i n solving t h
Optimal Power Flow: Closing the Loop over Corrupted Data
Johansson, Karl Henrik
application are the Supervisory Control and Data Acquisition (SCADA) systems. In power networks, the SCADA System. Modern SCADA/EMS systems collect large amounts of measurement data and, using a State Estimator attack. We denote the data corruption by a. cyber attacks on SCADA/EMS systems operating power net- works
Xu , Huan
A Simple Optimal Power Flow Model with Energy Storage K. Mani Chandy, Steven H. Low, Ufuk Topcu and Huan Xu Abstract-- The integration of renewable energy generation, such as wind power how storage allows optimization of power generation across multiple time periods. The model
Grothey, Andreas
is primarily due to Kirchhoff's voltage law (KVL), which describes the flow of power in transmission lines that minimizes the cost of electric power generation while satisfying operating constraints and meeting demandLocal Solutions of Optimal Power Flow Waqquas A. Bukhsh, Andreas Grothey, Ken McKinnon, and Paul
power plants, nuclear power plants etc and selling power to consumers. The suppliers have contractsOptimal Power Flow Formulation in Market of Retail Wheeling Taiyou Yong, Student Member, IEEE at Madison, Madison, Wisconsin, USA Abstract: Power system deregulation along with retail wheeling
Large-scale optimal power flow: Effects of initialization, decoupling and discretization
Papalexopoulos, A.D.; Imparato, C.F.; Wu, F.F.
1989-08-01T23:59:59.000Z
The optimal power flow has entered a new era since the introduction of second-order methods. These methods have renewed hopes for its on-line application in Energy Management Systems. This paper reports on some of the results of tests of a second-order OPF method. The testing was conducted using a 1500 bus network, under a variety of loading conditions. Three issues were studied: Sensitivity of OPF solutions with respect to the starting points used in the solution; Accuracy of the active/reactive decoupled approach to OPF solution; Effects of discretization of transformer taps on the OPF solutions.
Lavaei, Javad
of the solution of the power flow problem, and (ii) the non-negativity of the locational marginal prices. Partial
algorithms to handle this problem for the e - 1 security constrained optimal power flow problem. We also.3. The MATPOWER package 4 2.4. Graph theoretic notions 4 3. Security constrained optimal power flow 5 3, such as the breakdown of a generator or a fault in some transmission line. The importance of being able to supply power
Optimal power flow in microgrids using event-triggered optimization Pu Wan and Michael D. Lemmon
Lemmon, Michael
be accomplished through small micro- turbines and gas/diesel generators. Storage devices such as battery banks Abstract-- Microgrids are power generation and distribution systems in which users and generators are in close proximity. They usually have limited power generation capacity, and are networked together to meet
Chance Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty
Bienstock, Daniel; Harnett, Sean
2012-01-01T23:59:59.000Z
When uncontrollable resources fluctuate, Optimum Power Flow (OPF), routinely used by the electric power industry to re-dispatch hourly controllable generation (coal, gas and hydro plants) over control areas of transmission networks, can result in grid instability, and, potentially, cascading outages. This risk arises because OPF dispatch is computed without awareness of major uncertainty, in particular fluctuations in renewable output. As a result, grid operation under OPF with renewable variability can lead to frequent conditions where power line flow ratings are significantly exceeded. Such a condition, which is borne by simulations of real grids, would likely resulting in automatic line tripping to protect lines from thermal stress, a risky and undesirable outcome which compromises stability. Smart grid goals include a commitment to large penetration of highly fluctuating renewables, thus calling to reconsider current practices, in particular the use of standard OPF. Our Chance Constrained (CC) OPF correct...
Power network analysis and optimization
Zhang, Wanping
2009-01-01T23:59:59.000Z
chip power supply network optimization using multigrid-basedchip decoupling capacitor optimization for high- performanceSapatnekar, Analysis and optimization of structured power/
Biogeography-Based Optimization and the Solution of the Power Flow Problem
Simon, Dan
engineer Jules Carpentier [7]. A power utility may own power generating plants fueled by coal, natural gas. It is important to adjust the power output levels among the various generating plants in the system at any given, the Law of Conservation of Energy requires that the power generated by the plants must equal the power
Optimal power flow application issues in the Pool paradigm George Grossa,*, Ettore Bompardb
Gross, George
a Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Power ramifications. These factors have wide ranging economic impacts, whose implications are very pronounced due consideration of some system performance measures into the steady state analysis of the power system. The basic
Dynamics-aware Optimal Power Flow Enrique Mallada and Ao Tang
Tang, A. Kevin
oscillations and voltage stability margins. This leads to two novel optimization problems that can find operation points which minimize oscillations or maximize voltage stability margins, and make apparent and small signal oscillation studies because the voltage collapse margin and stability of the operating
DC Optimal Power Flow Formulation and Solution Using QuadProgJ
Tesfatsion, Leigh
, still retaining an SCQP form, so that solution values for voltage angles and locational marginal prices power injections. However, solution values for locational marginal prices (LMPs), voltage angles, Chen-Ching Liu, Jim McCalley, Michael J. D. Powell, Jim Price, Harold Salazar, Johnny Wong, and Tong Wu
Probabilistic Optimal Power Flow in Electricity Markets Based on a Two-Point Estimate Method
CaĆ±izares, Claudio A.
in an "unpredictable" manner; hence, probability distributions of locational marginal prices are calculated as a result unpredictable, which can be considered as one of the main factors for electricity price volatility in some markets. Another "by- product" of deregulation is the reduction in power system stability margins
The Application of Robust Optimization in Power Systems
unit commitment and robust corrective topology control. The optimal power flow models used within partThe Application of Robust Optimization in Power Systems Final Project Report Power Systems Application of Robust Optimization in Power Systems Final Project Report Dr. Kory W. Hedman, Project Leader
Particle Swarm Optimization Based Reactive Power Optimization
Sujin, P R; Linda, M Mary
2010-01-01T23:59:59.000Z
Reactive power plays an important role in supporting the real power transfer by maintaining voltage stability and system reliability. It is a critical element for a transmission operator to ensure the reliability of an electric system while minimizing the cost associated with it. The traditional objectives of reactive power dispatch are focused on the technical side of reactive support such as minimization of transmission losses. Reactive power cost compensation to a generator is based on the incurred cost of its reactive power contribution less the cost of its obligation to support the active power delivery. In this paper an efficient Particle Swarm Optimization (PSO) based reactive power optimization approach is presented. The optimal reactive power dispatch problem is a nonlinear optimization problem with several constraints. The objective of the proposed PSO is to minimize the total support cost from generators and reactive compensators. It is achieved by maintaining the whole system power loss as minimum...
Optimization Online - Stochastic Optimization for Power System ...
Ludwig Kuznia
2011-02-17T23:59:59.000Z
Feb 17, 2011 ... Stochastic Optimization for Power System Configuration with Renewable Energy in Remote Areas. Ludwig Kuznia(lkuznia ***at*** mail.usf.edu)
Structural power flow measurement
Falter, K.J.; Keltie, R.F.
1988-12-01T23:59:59.000Z
Previous investigations of structural power flow through beam-like structures resulted in some unexplained anomalies in the calculated data. In order to develop structural power flow measurement as a viable technique for machine tool design, the causes of these anomalies needed to be found. Once found, techniques for eliminating the errors could be developed. Error sources were found in the experimental apparatus itself as well as in the instrumentation. Although flexural waves are the carriers of power in the experimental apparatus, at some frequencies longitudinal waves were excited which were picked up by the accelerometers and altered power measurements. Errors were found in the phase and gain response of the sensors and amplifiers used for measurement. A transfer function correction technique was employed to compensate for these instrumentation errors.
Network Flow Optimization under Uncertainty
Tesfatsion, Leigh
Network model in words Minimize the cost of satisfying demands for electric energy By: imports, exports and electricity Subject to: conservation of energy flows (net after losses), lower and upper bounds on flows is a reactive approach: how would the optimal solution have changed if I'd only known? Ā· Proactive approaches
2554 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 3, AUGUST 2013 Branch Flow Model: Relaxations
Low, Steven H.
2554 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 3, AUGUST 2013 Branch Flow Model: Relaxations--Convex relaxation, load flow control, optimal power flow, phase control, power system management. I. INTRODUCTION A and operation of power systems. One of the motivations for our work is the optimal power flow (OPF) problem. OPF
POWER FLOW ANALYSIS OF ELECTROSTRICTIVE ACTUATORS DRIVEN BYSWITCHMODE AMPLIFIERS
Lindner, Douglas K.
is developed with includes a dynamic structural model of the actuator, a dynamic model of the power electronics. It is shown that an outer acoustic control loop can modify this mechanical admittance and optimize the power, the power flow between the electrical and mechanical systems is analyzed through simulation. The flow
Optimization and Control of Electric Power Systems
Lesieutre, Bernard C.; Molzahn, Daniel K.
2014-10-17T23:59:59.000Z
The analysis and optimization needs for planning and operation of the electric power system are challenging due to the scale and the form of model representations. The connected network spans the continent and the mathematical models are inherently nonlinear. Traditionally, computational limits have necessitated the use of very simplified models for grid analysis, and this has resulted in either less secure operation, or less efficient operation, or both. The research conducted in this project advances techniques for power system optimization problems that will enhance reliable and efficient operation. The results of this work appear in numerous publications and address different application problems include optimal power flow (OPF), unit commitment, demand response, reliability margins, planning, transmission expansion, as well as general tools and algorithms.
Kammen, Daniel M.
228 POWER FLOW ANALYSIS parties, it is crucial to recognize the inherently subjective nature of OPF. Power flow analysis by itself basically answers a question of physics. By contrast, OPF answers criteria. In short, "optim- ality" does not arise from a power system's intrinsic technical properties
Heaton, Thomas H.
and Huan Xu Abstract-- The integration of renewable energy, such as wind power, into the electric grid and reactive power outputs, bus voltages and angles; the objective may be the minimization of generation cost by 2030 [8]. In 2006, Southern California Edison, the primary electricity utility company for the southern
Geometry of Power Flows in Tree Networks
Lavaei, Javad; Zhang, Baosen
2012-01-01T23:59:59.000Z
We investigate the problem of power flow and its relationship to optimization in tree networks by looking at the injection regions of the networks. The injection region is the set of all vectors of bus power injections that satisfy the network and operation constraints. The geometrical object of interest is the set of Pareto-optimal points of the injection region, since they are the solutions to the minimization of increasing functions. If the voltage magnitudes are fixed, the injection region of a tree network can be written as a linear transformation of the product of two-bus injection regions, one for each line in the network. Using this decomposition, we show that under the practical condition that the angle difference across each line is not too large, the set of Pareto-optimal points of the injection region remains unchanged by taking the convex hull. Therefore, the optimal power flow problem can be convexified and efficiently solved. This result improves upon earlier works by removing the assumptions o...
None
2012-02-08T23:59:59.000Z
GENI Project: MSU is developing a power flow controller to improve the routing of electricity from renewable sources through existing power lines. The fast, innovative, and lightweight circuitry that MSU is incorporating into its controller will eliminate the need for a separate heavy and expensive transformer, as well as the construction of new transmission lines. MSUs controller is better suited to control power flows from distributed and intermittent wind and solar power systems than traditional transformer-based controllers are, so it will help to integrate more renewable energy into the grid. MSUs power flow controller can be installed anywhere in the existing grid to optimize energy transmission and help reduce transmission congestion.
Optimal Power Dispatch via Multistage Stochastic Programming
Römisch, Werner
Mathematical models for cost-optimal power scheduling in hydro-thermal systems often combine several di cultiesOptimal Power Dispatch via Multistage Stochastic Programming M.P. Nowak1 and W. Romisch1 Abstract. The short-term cost-optimal dispatch of electric power in a generation sys- tem under uncertain electricity
Sandia National Laboratories: power flow control system
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
power flow control system ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety, Facilities,...
Broader source: Energy.gov [DOE]
This simple spreadsheet model estimates either the flow rate required to produce a specified level of power output, or the power output that can be produced from a specified flow rate.
IEEE TRANSACTIONS ON POWER SYSTEMS 1 Application of a Stability-constrained Optimal
Cańizares, Claudio A.
IEEE TRANSACTIONS ON POWER SYSTEMS 1 Application of a Stability-constrained Optimal Power Flow and described. The application of this technique to the optimal tuning of both Power System Stabilizers (PSS) and Thyristor Controlled Series Compensators (TCSC) to damp power system oscillations within the context
Partially Adaptive Stochastic Optimization for Electric Power ...
Jikai Zou
2015-01-03T23:59:59.000Z
Jan 3, 2015 ... Abstract: Electric Power Generation Expansion Planning (GEP) is the problem of determining an optimal construction and generation plan of ...
Cańizares, Claudio A.
Proc. IEEE PowerTech, Bucharest, June 2009. 1 Abstract-Power flow studies are typically used on the use of optimization techniques and worst-case scenario analysis. The application of these techniques assessment), thus allowing to evaluate the level of confidence of power flow studies. These algorithms should
Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy
Koutsopoulos, Iordanis
Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy technologies to enforce sensible use of energy through effective demand load management. We envision a scenario con- sumer power demand requests with different power require- ments, durations, and deadlines
Optimal operation of large-scale power systems
Lee, K.Y.; Ortiz, J.L.; Mohtadi, M.A.; Park, Y.M.
1988-05-01T23:59:59.000Z
This paper presents a method for an optimal operation of large-scale power systems similar to the one utilized by the Houston Lighting and Power Company. The main objective is to minimize the system fuel costs, and maintain an acceptable system performance in terms of limits on generator real and reactive power outputs, transformer tap settings, and bus voltage levels. Minimizing the fuel costs of such large-scale systems enhances the performance of optimal real power generator allocation and of optimal power flow that results in an economic dispatch. The gradient projection method (GPM) is utilized in solving the optimization problems. It is an iterative numerical procedure for finding an extremum of a function of several variables that are required to satisfy various constraining relations without using penalty functions or Lagrange multipliers among other advantages. Mathematical models are developed to represent the sensitivity relationships between dependent and control variables for both real- and reactive-power optimization procedures; and thus eliminate the use of B-coefficients. Data provided by the Houston lighting and Power Company are used to demonstrate the effectiveness of the proposed procedures.
Optimal Power Management in Wireless Control Systems
Plotkin, Joshua B.
Optimal Power Management in Wireless Control Systems Konstantinos Gatsis, Student Member, IEEE to the controller over a wireless fading channel. The power allocated to these transmissions determines state. The goal is to design plant input and transmit power policies that minimize an infinite horizon
Generating expansion model incorporating compact DC power flow equations
Nderitu, D.G.; Sparrow, F.T.; Yu, Z. [Purdue Inst. for Interdisciplinary Engineering Studies, West Lafayette, IN (United States)
1998-12-31T23:59:59.000Z
This paper presents a compact method of incorporating the spatial dimension into the generation expansion problem. Compact DC power flow equations are used to provide real-power flow coordination equations. Using these equations the marginal contribution of a generator to th total system loss is formulated as a function of that generator`s output. Incorporating these flow equations directly into the MIP formulation of the generator expansion problem results in a model that captures a generator`s true net marginal cost, one that includes both the cost of generation and the cost of transport. This method contrasts with other methods that iterate between a generator expansion model and an optimal power flow model. The proposed model is very compact and has very good convergence performance. A case study with data from Kenya is used to provide a practical application to the model.
Electric Power System Asset Optimization
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEAWater Use Goal 4:Administration Electric Power
A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization
Coello, Carlos A. Coello
that the correct- ness of algebraic transformations realized by the underlying genetic operators selection shown for power optimization. In order to avoid inferior results caused by the counteracting demandsA Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization Birger Landwehr
Optimal Power Allocation for Renewable Energy Source
Sinha, Abhinav
2011-01-01T23:59:59.000Z
Battery powered transmitters face energy constraint, replenishing their energy by a renewable energy source (like solar or wind power) can lead to longer lifetime. We consider here the problem of finding the optimal power allocation under random channel conditions for a wireless transmitter, such that rate of information transfer is maximized. Here a rechargeable battery, which is periodically charged by renewable source, is used to power the transmitter. All of above is formulated as a Markov Decision Process. Structural properties like the monotonicity of the optimal value and policy derived in this paper will be of vital importance in understanding the kind of algorithms and approximations needed in real-life scenarios. The effect of curse of dimensionality which is prevalent in Dynamic programming problems can thus be reduced. We show our results under the most general of assumptions.
Flow reversal power limit for the HFBR
Cheng, Lap Y.; Tichler, P.R.
1995-10-01T23:59:59.000Z
The High Flux Beam Reactor (HFBR) undergoes a buoyancy-driven reversal of flow in the reactor core following certain postulated accidents. Uncertainties about the afterheat removal capability during the flow reversal has limited the reactor operating power to 30 MW. An experimental and analytical program to address these uncertainties is described in this report. The experiments were single channel flow reversal tests under a range of conditions. The analytical phase involved simulations of the tests to benchmark the physical models and development of a criterion for dryout. The criterion is then used in simulations of reactor accidents to determine a safe operating power level. It is concluded that the limit on the HFBR operating power with respect to the issue of flow reversal is in excess of 60 MW.
Magnetic Amplifier for Power Flow Control
None
2012-02-24T23:59:59.000Z
GENI Project: ORNL is developing an electromagnet-based, amplifier-like device that will allow for complete control over the flow of power within the electric grid. To date, complete control of power flow within the grid has been prohibitively expensive. ORNLs controller could provide a reliable, cost-effective solution to this problem. The team is combining two types of pre-existing technologies to assist in flow control, culminating in a prototype iron-based magnetic amplifier. Ordinarily, such a device would require expensive superconductive wire, but the magnetic iron core of ORNLs device could serve as a low-cost alternative that is equally adept at regulating power flow.
FLOATING-POINT BIT-WIDTH OPTIMIZATION FOR LOW-POWER SIGNAL PROCESSING APPLICATIONS
Chen, Tsuhan
FLOATING-POINT BIT-WIDTH OPTIMIZATION FOR LOW-POWER SIGNAL PROCESSING APPLICATIONS Fang Fang design flow to the design of inverse discrete cosine transform (IDCT), and show that the power floating-point (FP) signal processing applications in low-power mobile devices, we propose a lightweight FP
Strategies in tower solar power plant optimization
Ramos, A
2012-01-01T23:59:59.000Z
A method for optimizing a central receiver solar thermal electric power plant is studied. We parametrize the plant design as a function of eleven design variables and reduce the problem of finding optimal designs to the numerical problem of finding the minimum of a function of several variables. This minimization problem is attacked with different algorithms both local and global in nature. We find that all algorithms find the same minimum of the objective function. The performance of each of the algorithms and the resulting designs are studied for two typical cases. We describe a method to evaluate the impact of design variables in the plant performance. This method will tell us what variables are key to the optimal plant design and which ones are less important. This information can be used to further improve the plant design and to accelerate the optimization procedure.
Multi-objective optimization of solar tower power plants
ĆbrahĆ”m, Erika
Multi-objective optimization of solar tower power plants Pascal Richter Center for Computational Ā· Optimization of solar tower power plants 1/20 #12;Introduction Ā Solar tower power plants Solar tower PS10 (11 of the solar tower Pascal Richter Ā· Optimization of solar tower power plants 2/20 #12;Model of solar tower
Managing power system security and optimization
O'Grady, M.J. (Potomac Electric Power Co., Washington, DC (United States)); Briggs, W.T.; Stadlin, W.O.
1994-10-01T23:59:59.000Z
Power system control objectives of energy management systems (EMSs) are well defined and understood: reliability, security, and optimization. However, the approaches to achieving these objectives have often resulted in disjointed solutions and poor acceptance by system operators. This article describes how the new PEPCO EMS provides unique system-wide (generation, transmission, distribution) security and optimization strategies via a coordinated suite of real-time closed-loop control functions. System operators played a key role in defining the application features and user interfaces, ensuring correct operating practices.
Optimization of advanced telecommunication algorithms from power and performance perspective
Khan, Zahid
2011-11-22T23:59:59.000Z
This thesis investigates optimization of advanced telecommunication algorithms from power and performance perspectives. The algorithms chosen are MIMO and LDPC. MIMO is implemented in custom ASIC for power optimization ...
Optimal combined wind power forecasts using exogeneous variables
Optimal combined wind power forecasts using exogeneous variables Fannar ØOrn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January
Optimal Power Dispatch via Multistage Stochastic Programming \\Lambda
Römisch, Werner
are reported. 1 Introduction Mathematical models for costoptimal power scheduling in hydrothermal systems a shortterm optimization model for the dis patch of electric power in a hydrothermal generation systemOptimal Power Dispatch via Multistage Stochastic Programming \\Lambda M.P. Nowak 1 and W. RØomisch 1
Flow reversal power limit for the HFBR
Cheng, L.Y.; Tichler, P.R.
1997-01-01T23:59:59.000Z
The High Flux Beam Reactor (HFBR) is a pressurized heavy water moderated and cooled research reactor that began operation at 40 MW. The reactor was subsequently upgraded to 60 MW and operated at that level for several years. The reactor undergoes a buoyancy-driven reversal of flow in the reactor core following certain postulated accidents. Questions which were raised about the afterheat removal capability during the flow reversal transition led to a reactor shutdown and subsequent resumption of operation at a reduced power of 30 MW. An experimental and analytical program to address these questions is described in this report. The experiments were single channel flow reversal tests under a range of conditions. The analytical phase involved simulations of the tests to benchmark the physical models and development of a criterion for dryout. The criterion is then used in simulations of reactor accidents to determine a safe operating power level. It is concluded that the limit on the HFBR operating power with respect to the issue of flow reversal is in excess of 60 MW. Direct use of the experimental results and an understanding of the governing phenomenology supports this conclusion.
Soft Sensing and Optimal Power Control for Cognitive Radio
Jafar, Syed A.
1 Soft Sensing and Optimal Power Control for Cognitive Radio Sudhir Srinivasa and Syed Ali Jafar being present increases. We find that that power control that maximizes the SNR is binary, i transmit power constraint at the secondary radio, both the SNR and capacity optimal power control schemes
Optimal Endogenous Carbon Taxes Electric Power Supply Chains with Power Plants
Nagurney, Anna
Optimal Endogenous Carbon Taxes for Electric Power Supply Chains with Power Plants Anna Nagurney for the determination of optimal carbon taxes applied to electric power plants in the con- text of electric power supply portion of such policy inter- ventions directed at the electric power industry. The general framework
Large-scale optimal power flow
Papalexopoulos, A.D.; Imparato, C.F.; Wu, F.F.
1989-05-01T23:59:59.000Z
Extensive numerical testing of a second-order OPF solution method was conducted using a 1500 bus network under various loading conditions. The results show that (i) properly implemented second-order OPF solution methods are robust with respect to different starting points, (ii) the decoupled OPF solution is expected to be close to the full OPF solution, and (iii) the effects of discretization of load tap changing (LTC) transformer taps are very small and usually negligible.
Strong SOCP Relaxations for Optimal Power Flow
Burak Kocuk
2015-04-24T23:59:59.000Z
Apr 24, 2015 ... ... all this computed within 157.20 seconds on a modest personal computer. Overall, the proposed strong SOCP relaxations provide a practical ...
Optimized Cross-Slot Flow Geometry for Microfluidic Extensional Rheometry
Haward, Simon J.
A precision-machined cross-slot flow geometry with a shape that has been optimized by numerical simulation of the fluid kinematics is fabricated and used to measure the extensional viscosity of a dilute polymer solution. ...
Variational principle for optimal accelerated neutralized flow A. Fruchtman
Variational principle for optimal accelerated neutralized flow A. Fruchtman Holon Academic Institute of Technology, 52 Golomb Street, P.O. Box 305, Holon 58102, Israel N. J. Fisch Princeton Plasma
Power and Delay Optimization in Multi-Hop Wireless Networks
Shihada, Basem
In this paper, we study the optimization problem of transmission power and delay in a multi-hop wireless network of transmission power and queueing delay in wireless networks has1 Power and Delay Optimization in Multi-Hop Wireless Networks Li Xia, Basem Shihada Abstract
Low Power/Energy Compiler Optimizations Ulrich Kremer
Kremer, Ulrich
35 Low Power/Energy Compiler Optimizations Ulrich Kremer Department of Computer Science Rutgers, Power/Energy vs. Performance, Summary 35.4 List of Optimizations Dynamic Voltage and Frequency Scaling for compilation and operating strategies to reduce power dissipation and energy usage, at the potential cost
Distributed Power Flow Control: Distributed Power Flow Control using Smart Wires for Energy Routing
None
2012-04-24T23:59:59.000Z
GENI Project: Smart Wire Grid is developing a solution for controlling power flow within the electric grid to better manage unused and overall transmission capacity. The 300,000 miles of high-voltage transmission line in the U.S. today are congested and inefficient, with only around 50% of all transmission capacity utilized at any given time. Increased consumer demand should be met in part with more efficient and an economical power flow. Smart Wire Grids devices clamp onto existing transmission lines and control the flow of power withinmuch like how internet routers help allocate bandwidth throughout the web. Smart wires could support greater use of renewable energy by providing more consistent control over how that energy is routed within the grid on a real-time basis. This would lessen the concerns surrounding the grids inability to effectively store intermittent energy from renewables for later use.
A Unified Approach to Runtime Performance and Power Optimization...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
A Unified Approach to Runtime Performance and Power Optimization in Adaptive Processors using Support Vector Regression Event Sponsor: Mathematics and Computing Science Seminar...
Optimization Online - Reactive Power Management using Firefly and ...
Ripunjoy Phukan
2013-10-04T23:59:59.000Z
Oct 4, 2013 ... Reactive Power Management using Firefly and Spiral Optimization under Static and Dynamic Loading Conditions. Ripunjoy Phukan (ripun000 ...
Optimization of Multiple Receivers Solar Power Tower systems
Emilio Carrizosa
2015-03-26T23:59:59.000Z
Mar 26, 2015 ... Abstract: In this article a new procedure to optimize the design of a Multiple Receivers Solar Power Tower system is presented. The proposed ...
Apollo: Adaptive power optimization and Control for the land Warrior
Pedram, Massoud
Apollo: Adaptive power optimization and Control for the land Warrior Massoud Pedram Dept. of EE management Architecture organization techniquesArchitecture organization techniques Apollo TestbedApollo
Free Flow Power Corporation | Open Energy Information
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 directedAnnualPropertyd8c-a9ae-f8521cbb8489Information HydroFontana,datasetWindFreEner-gFree Flow Power
High performance magnet power supply optimization
Jackson, L.T.
1988-01-01T23:59:59.000Z
The power supply system for the joint LBL--SLAC proposed accelerator PEP provides the opportunity to take a fresh look at the current techniques employed for controlling large amounts of dc power and the possibility of using a new one. A basic requirement of +- 100 ppM regulation is placed on the guide field of the bending magnets and quadrupoles placed around the 2200 meter circumference of the accelerator. The optimization questions to be answered by this paper are threefold: Can a firing circuit be designed to reduce the combined effects of the harmonics and line voltage combined effects of the harmonics and line voltage unbalance to less than 100 ppM in the magnet field. Given the ambiguity of the previous statement, is the addition of a transistor bank to a nominal SCR controlled system the way to go or should one opt for an SCR chopper system running at 1 KHz where multiple supplies are fed from one large dc bus and the cost--performance evaluation of the three possible systems.
Optimization of Multiple Receivers Solar Power Tower systems
2015-04-08T23:59:59.000Z
Apr 8, 2015 ... Solar Power Tower (SPT) systems are known as one of the most promising ...... An appropriate control is required to adapt the mass flow in the ...
Power Optimization and Management in Embedded Systems1 Massoud Pedram
Pedram, Massoud
1 Power Optimization and Management in Embedded Systems1 Massoud Pedram University of Southern on the system performance and quality of service (QoS). Power-aware high-level language compilers, dynamic power for understanding power- aware design methodologies and techniques targeted toward embedded systems. 1 Introduction
FORTRAN SUBROUTINES FOR NETWORK FLOW OPTIMIZATION ...
2004-03-13T23:59:59.000Z
Mar 13, 2004 ... cost network flow problem can be formulated as min. ?. (i,j)?E cijxij ...... The control parameters are then read from the vector info, with pdginf() ...
Optimal Shipboard Power System Management via Mixed Integer Dynamic Programming
Kwatny, Harry G.
feedback controls is described. Examples are given. I. INTRODUCTION Maintaining power flow to vital loads following component failure(s) is a central goal of power system management including electric shipboard
Optimal Power Train Design of a Hybrid Refuse Collector Vehicle
Paderborn, Universität
Optimal Power Train Design of a Hybrid Refuse Collector Vehicle Tobias Knoke, Joachim Böcker 5251 60 2212 Abstract-- Due to the stop-and-go drive cycle of refuse collector vehicles, hybrid power), optimization, refuse collector vehicle I. INTRODUCTION Today, hybrid electric vehicles are accepted as a step
Stochastic Co-optimization for Hydro-Electric Power Generation
1 Stochastic Co-optimization for Hydro-Electric Power Generation Shi-Jie Deng, Senior Member, IEEE the optimal scheduling problem faced by a hydro-electric power producer that simultaneously participates in multiple markets. Specifically, the hydro-generator participates in both the electricity spot market
Optimal Power Cost Management Using Stored Energy in Data Centers
Giles, C. Lee
Optimal Power Cost Management Using Stored Energy in Data Centers Rahul Urgaonkar, Bhuvan Urgaonkar of uninterrupted power supply (UPS) units as energy storage devices. This rep- resents a deviation from the usual average electric utility bill in a data center. Us- ing the technique of Lyapunov optimization, we develop
Human Factors Aspects of Power System Flow Animation
is to present the results of human factors experiments looking at the power system flow animation. IIHuman Factors Aspects of Power System Flow Animation Douglas A. Wiegmann, Gavin R. Essenberg experimental results associated with human factors aspects of using animation to display electric power system
Distribution Power Flow in IRW Group Meeting
Tesfatsion, Leigh
in and power out (sum of 3 phases) Power losses Power in & out A, Current in & out A, Power loss A Power in & out B, Current in & out B, Power loss B Power in & out C, Current in & out C, Power loss C Status
Efficient Production Optimization Using Flow Network Models
Lerlertpakdee, Pongsathorn
2012-10-19T23:59:59.000Z
of the physical processes that govern the long-term behavior of the reservoir. We present an alternative solution that combines the advantages of both statistics-based and physics-based methods by deriving the flow predictions in complex two-dimensional models...
Optimality and Conductivity for Water Flow: From Landscapes, to Unsaturated Soils, to Plant Leaves
Liu, H.H.
2012-02-23T23:59:59.000Z
Optimality principles have been widely used in many areas. Based on an optimality principle that any flow field will tend toward a minimum in the energy dissipation rate, this work shows that there exists a unified form of conductivity relationship for three different flow systems: landscapes, unsaturated soils and plant leaves. The conductivity, the ratio of water flux to energy gradient, is a power function of water flux although the power value is system dependent. This relationship indicates that to minimize energy dissipation rate for a whole system, water flow has a small resistance (or a large conductivity) at a location of large water flux. Empirical evidence supports validity of the relationship for landscape and unsaturated soils (under gravity dominated conditions). Numerical simulation results also show that the relationship can capture the key features of hydraulic structure for a plant leaf, although more studies are needed to further confirm its validity. Especially, it is of interest that according to this relationship, hydraulic conductivity for gravity-dominated unsaturated flow, unlike that defined in the classic theories, depends on not only capillary pressure (or saturation), but also the water flux. Use of the optimality principle allows for determining useful results that are applicable to a broad range of areas involving highly non-linear processes and may not be possible to obtain from classic theories describing water flow processes.
Power Conversion Efficiency Characterization and Optimization for Smartphones
Pedram, Massoud
Power Conversion Efficiency Characterization and Optimization for Smartphones Woojoo Lee Yanzhi charging operations even with a 2000 mAh battery. This is in spite of many power manage- ment techniques waste a significant amount of the battery's stored energy during power con- version from the 3.7V output
Power Control and Utility Optimization in Wireless Communication Systems
Chronopoulos, Anthony T.
Power Control and Utility Optimization in Wireless Communication Systems Dimitrie C. Popescu@cs.utsa.edu Abstract-- In this paper we present an analysis of power control algorithms established over the past with power control algorithms based on game theory established relatively recently. The analysis shows
Soft Sensing and Optimal Power Control for Cognitive Radio
Jafar, Syed A.
Soft Sensing and Optimal Power Control for Cognitive Radio Sudhir Srinivasa and Syed Ali Jafar being present increases. We find that power control that maximizes the SNR is binary, i implementation at the secondary transmitter. With binary detection and binary power control, minimizing
An Optimal Power Management Policy for Wireless Communication Devices
1 An Optimal Power Management Policy for Wireless Communication Devices C.F. Chiasserini, E to the problem of energy consumption in wireless networks, which exploits the dynamic power management concept to return to the active state. Power management policies are typically used to control the state
DYNAMIC EMBEDDED OPTIMIZATION AND SHOOTING METHODS FOR POWER
state variables. The dynamic model is embedded within the constraints. Power systems form an important for Deregulated Electric Power Systems: Optimization, Control, and Computational Intelligence, J. Chow, F. Wu consequences in the latter case [1]. Even the tuning of traditional controllers such as power system sta
Transaction Based Power Flow Analysis For Transmission Utilization Allocation
transactions as well as the effect of reactive power on transmission losses and active power flows. Two the electric power industry moves into an era of supply competition and consumer choice, the power system electricity market at the ex ante phase; (ii) MW generations are decided by bilateral contracts and other
Conic optimization of electric power systems
Taylor, Joshua Adam
2011-01-01T23:59:59.000Z
The electric power grid is recognized as an essential modern infrastructure that poses numerous canonical design and operational problems. Perhaps most critically, the inherently large scale of the power grid and similar ...
Automated Synthesis Tool for Design Optimization of Power Electronic Converters
Mirjafari, Mehran
2013-01-09T23:59:59.000Z
Designers of power electronic converters usually face the challenge of having multiple performance indices that must be simultaneously optimized, such as maximizing efficiency while minimizing mass or maximizing reliability while minimizing cost...
Utility system integration and optimization models for nuclear power management
Deaton, Paul Ferris
1973-01-01T23:59:59.000Z
A nuclear power management model suitable for nuclear utility systems optimization has been developed for use in multi-reactor fuel management planning over periods of up to ten years. The overall utility planning model ...
Peng, Huei
. Optimization of Power Management Strategies for a Hydraulic Hybrid Medium Truck Bin Wu, Chan-Chiao Lin, Zoran regenerating and reusing of significant amounts of braking energy. Consequently, power flows through the hybrid with parallel hydraulic hybrid powertrain. The hydraulic hybrid vehicle (HHV) system is modeled in MATLAB
Fu, Yong
1302 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 22, NO. 3, AUGUST 2007 Security-Constrained Optimal and transmission lines, within the outage scheduling horizon of weeks to months, with the security-constrained unit under study. Number of times at each interval. Index of interval. Power flow on line at time at interval
Optimal Energy Storage Control Policies for the Smart Power Grid
Koutsopoulos, Iordanis
Optimal Energy Storage Control Policies for the Smart Power Grid Iordanis Koutsopoulos Vassiliki Center for Research and Technology Hellas (CERTH), Greece Abstract--Electric energy storage devices the optimal energy storage control problem from the side of the utility operator. The operator controller
Power Optimal Connectivity and Coverage in Wireless Sensor Networks
Bystroff, Chris
1 Power Optimal Connectivity and Coverage in Wireless Sensor Networks Metin Inanc, Malik Magdon links, there are fundamental differences between a sensor network and other wireless ad-hoc networks programming/Optimization I. INTRODUCTION This work considers a sensor network which is com- prised of a large
Optimal Maintenance Scheduling of a Power Plant with Seasonal
Grossmann, Ignacio E.
-Wide Optimization Meeting Ā· Plan preventive maintenance shutdowns Ā Minimize payment for skilled labor Ā Save onlineOptimal Maintenance Scheduling of a Power Plant with Seasonal Electricity Tariffs Pedro M. Castro maintenance team doing shutdowns Ā· Shutdown period mandatory after [ , ] h online Ā· Challenging (hard
OPTIMIZATION OF COAL PARTICLE FLOW PATTERNS IN LOW NOX BURNERS
Jost O.L. Wendt; Gregory E. Ogden; Jennifer Sinclair; Stephanus Budilarto
2001-08-20T23:59:59.000Z
The proposed research is directed at evaluating the effect of flame aerodynamics on NO{sub x} emissions from coal fired burners in a systematic manner. This fundamental research includes both experimental and modeling efforts being performed at the University of Arizona in collaboration with Purdue University. The objective of this effort is to develop rational design tools for optimizing low NO{sub x} burners to the kinetic emissions limit (below 0.2 lb./MMBTU). Experimental studies include both cold and hot flow evaluations of the following parameters: flame holder geometry, secondary air swirl, primary and secondary inlet air velocity, coal concentration in the primary air and coal particle size distribution. Hot flow experiments will also evaluate the effect of wall temperature on burner performance. Cold flow studies will be conducted with surrogate particles as well as pulverized coal. The cold flow furnace will be similar in size and geometry to the hot-flow furnace but will be designed to use a laser Doppler velocimeter/phase Doppler particle size analyzer. The results of these studies will be used to predict particle trajectories in the hot-flow furnace as well as to estimate the effect of flame holder geometry on furnace flow field. The hot-flow experiments will be conducted in a novel near-flame down-flow pulverized coal furnace. The furnace will be equipped with externally heated walls. Both reactors will be sized to minimize wall effects on particle flow fields. The cold-flow results will be compared with Fluent computation fluid dynamics model predictions and correlated with the hot-flow results with the overall goal of providing insight for novel low NO{sub x} burner geometry's.
Power Modeling and Optimization for GPGPUs
Li, Zhi
2013-05-31T23:59:59.000Z
Caused by the switching of transistors to charge and discharge the load capacitance, dynamic power can be calculated by the following equation: 2 d ddP aCV f? (1) Here, the activity factor, a , is a fraction between 0 and 1 indicating how often... in [17]. 3.2 Power Modeling Methodology The basic idea to calculate dynamic power of streaming multiprocessors in this model is similar to Wattch. I consider dynamic power of different structure blocks inside each SM, 10 and calculate...
Probabilistic Power Flow Simulation allowing Temporary Current Overloading
Frank, Jason
flow model subject to connection temperature constraints. Renewable power generation is included model. This substantially influences the choice of model for the renewable power source, as we explain realistically. Using such a constraint is justified the more by the intermittent nature of the renewable power
Optimizing Thermoelectric Power Factor by Means of a Potential Barrier
1 Optimizing Thermoelectric Power Factor by Means of a Potential Barrier Neophytos Neophytou}@iue.tuwien.ac.at Abstract Large efforts in improving thermoelectric energy conversion are devoted to energy filtering design, ~40% improvement in the thermoelectric power factor can be achieved if the following conditions
Research Study on Convex Optimization of Power Distribution Networks
Lavaei, Javad
communication and control technology impels the transformation of power distribution system in both its. To solve the OPF problem for unbalanced three-phase power distribution systems, Newton-Raphson methods has-bus system in distribution network and structure the mathematical model and performs convex optimization
Optimal Power Management for a Hydraulic Hybrid Delivery Truck
Peng, Huei
Optimal Power Management for a Hydraulic Hybrid Delivery Truck BIN WU, CHAN-CHIAO LIN, ZORAN FILIPI control strategies. This paper presents a methodology for developing a power management strategy tailored specifically to a parallel Hydraulic Hybrid Vehicle (HHV) configured for a medium-size delivery truck
Optimal Power Cost Management Using Stored Energy in Data Centers
Urgaonkar, Bhuvan
the aver- age price of 1 MW-Hour of electricity. Consequently, mini- mization of energy consumption needOptimal Power Cost Management Using Stored Energy in Data Centers Rahul Urgaonkar, Bhuvan Urgaonkar that arise by the use of uninterrupted power supply (UPS) units as energy storage devices. This rep- resents
Optimal sequencing site of hydro-power stations
Hayashi, T.; Yoshino, F.; Waka, R. [Tottori Univ., Koyama (Japan). Dept. of Mechanical Engineering
1995-06-01T23:59:59.000Z
At the first stage of a hydro-power survey of a river, it is important to select the optimal hydro-power site. The most important condition to be satisfied is to determine the optimal site where the greatest and most economical amount of hydro-energy can be obtained. This paper proposes a new method in which the optimal arrangement of the hydro-power stations is determined by a computational operation using discrete data at points along the river such as the drainage area, altitude, and distance along the river channel as obtained from topographical maps instead of drawing on engineers` experiences and the intuitions of experts. The results by this method are then compared with data on existing hydro-power stations and the results planned by expert engineers to show that this new computational method is superior.
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
Hybrid robust predictive optimization method of power system dispatch
Chandra, Ramu Sharat (Niskayuna, NY); Liu, Yan (Ballston Lake, NY); Bose, Sumit (Niskayuna, NY); de Bedout, Juan Manuel (West Glenville, NY)
2011-08-02T23:59:59.000Z
A method of power system dispatch control solves power system dispatch problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage. The method employs a predictive algorithm to dynamically schedule different assets in order to achieve global optimization and maintain the system normal operation.
Combined Thermal and Power Energy Management Optimization
Ahner, D. J.; Priestley, R. R.
have heat recovery steam generators, one supplementary fired delivering power and process steam to the plant electrical and steam header distribution systems. The optimum dispatch of these gas turbine units under specified power and steam load... value. The dispatch of the units is determined by their relative incremental efficiency in delivering steam to the process header which results in the optimum dispatch condition of equal incremental heat recovery efficiencies. The equal incremental...
Optimal Control of Transient Flow in Natural Gas Networks
Zlotnik, Anatoly; Backhaus, Scott
2015-01-01T23:59:59.000Z
We outline a new control system model for the distributed dynamics of compressible gas flow through large-scale pipeline networks with time-varying injections, withdrawals, and control actions of compressors and regulators. The gas dynamics PDE equations over the pipelines, together with boundary conditions at junctions, are reduced using lumped elements to a sparse nonlinear ODE system expressed in vector-matrix form using graph theoretic notation. This system, which we call the reduced network flow (RNF) model, is a consistent discretization of the PDE equations for gas flow. The RNF forms the dynamic constraints for optimal control problems for pipeline systems with known time-varying withdrawals and injections and gas pressure limits throughout the network. The objectives include economic transient compression (ETC) and minimum load shedding (MLS), which involve minimizing compression costs or, if that is infeasible, minimizing the unfulfilled deliveries, respectively. These continuous functional optimiza...
Distributed control for optimal reactive power compensation in smart microgrids
Bolognani, Saverio
2011-01-01T23:59:59.000Z
We consider the problem of optimal reactive power compensation for the minimization of power distribution losses in a smart microgrid. We first propose an approximate model for the power distribution network, which allows us to cast the problem into the class of convex quadratic, linearly constrained, optimization problems. We also show how this model provides the tools for a distributed approach, in which agents have a partial knowledge of the problem parameters and state, and can only perform local measurements. Then, we design a randomized, gossip-like optimization algorithm, providing conditions for convergence together with an analytic characterization of the convergence speed. The analysis shows that the best performance can be achieved when we command cooperation among agents that are neighbors in the smart microgrid topology. Numerical simulations are included to validate the proposed model and to confirm the analytic results about the performance of the proposed algorithm.
Power Generation Loading Optimization using a Multi-Objective Constraint-Handling Method via
Li, Xiaodong
power industry. A major objective for the coal-fired power generation loading optimization results of the power generation loading optimization based on a coal-fired power plant demonstratesPower Generation Loading Optimization using a Multi-Objective Constraint-Handling Method via PSO
GLOBAL OPTIMIZATION OF MULTIPHASE FLOW NETWORKS IN OIL AND GAS PRODUCTION SYSTEMS
Johansen, Tor Arne
1 GLOBAL OPTIMIZATION OF MULTIPHASE FLOW NETWORKS IN OIL AND GAS PRODUCTION SYSTEMS MSc. Hans in an oil production system is developed. Each well may be manipulated by injecting lift gas and adjusting in the maximum oil flow rate, water flow rate, liquid flow rate, and gas flow rate. The wells may also
Aerodynamic Shape Optimization of Airfoils in Ultra-Low Reynolds Number Flow using
Stanford University
Aerodynamic Shape Optimization of Airfoils in Ultra-Low Reynolds Number Flow using Simultaneous;Aerodynamic Shape Optimization of Airfoils in Ultra-Low Reynolds Number Flow using Simultaneous Pseudo Abstract. The paper presents numerical results of optimized airfoils at ultra-low Reynolds numbers
Efficient Blind Search: Optimal Power of Detection under Computational Cost
Rice, John
Efficient Blind Search: Optimal Power of Detection under Computational Cost Constraints Nicolai a blind search through a vast number of hypotheses to detect objects of interest. The number of hypotheses to test can be in the billions. A naive blind search over every single hypothesis would be far too costly
Optimal Demand Response Based on Utility Maximization in Power Networks
Low, Steven H.
Optimal Demand Response Based on Utility Maximization in Power Networks Na Li, Lijun Chen different appliances including PHEVs and batteries and propose a demand response approach based on utility. The utility company can thus use dynamic pricing to coordinate demand responses to the benefit of the overall
Optimal Maintenance Scheduling of a Gas Engine Power Plant
Grossmann, Ignacio E.
to carry out preventive maintenance at regular intervals19 . The maintenance schedule affects many short1 Optimal Maintenance Scheduling of a Gas Engine Power Plant using Generalized Disjunctive with parallel units. Gas engines are shutdown according to a regular maintenance plan that limits the number
Optimal Quarantining of Wireless Malware Through Power Control
Sarkar, Saswati
Optimal Quarantining of Wireless Malware Through Power Control M. H. R. Khouzani School of Electrical and Systems Engineering University of Pennsylvania Email: khouzani@seas.upenn.edu Eitan Altman.Altman@sophia.inria.fr Saswati Sarkar School of Electrical and Systems Engineering University of Pennsylvania Email
Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts
Giannitrapani, Antonello
bid is computed by exploiting the forecast energy price for the day ahead market, the historical wind renewable energy resources, such as wind and photovoltaic, has grown rapidly. It is well known the problem of optimizing energy bids for an independent Wind Power Producer (WPP) taking part
Restoration strategy for power distribution networks using optimal supervisory control
Lim, Jong-Tae
the supervisory control technique to a line-restoration problem aiming to increase the steady-state security level of lines and transformers and the bus voltage for the security assessment. 2 Preliminary The supervisoryRestoration strategy for power distribution networks using optimal supervisory control M.-S. Lee
TAS: 89 0227: TAS Recovery Act - Optimization and Control of Electric Power Systems: ARRA
Chiang, Hsiao-Dong
2014-02-01T23:59:59.000Z
The name SuperOPF is used to refer several projects, problem formulations and soft-ware tools intended to extend, improve and re-define some of the standard methods of optimizing electric power systems. Our work included applying primal-dual interior point methods to standard AC optimal power flow problems of large size, as well as extensions of this problem to include co-optimization of multiple scenarios. The original SuperOPF problem formulation was based on co-optimizing a base scenario along with multiple post-contingency scenarios, where all AC power flow models and constraints are enforced for each, to find optimal energy contracts, endogenously determined locational reserves and appropriate nodal energy prices for a single period optimal power flow problem with uncertainty. This led to example non-linear programming problems on the order of 1 million constraints and half a million variables. The second generation SuperOPF formulation extends this by adding multiple periods and multiple base scenarios per period. It also incorporates additional variables and constraints to model load following reserves, ramping costs, and storage resources. A third generation of the multi-period SuperOPF, adds both integer variables and a receding horizon framework in which the problem type is more challenging (mixed integer), the size is even larger, and it must be solved more frequently, pushing the limits of currently available algorithms and solvers. The consideration of transient stability constraints in optimal power flow (OPF) problems has become increasingly important in modern power systems. Transient stability constrained OPF (TSCOPF) is a nonlinear optimization problem subject to a set of algebraic and differential equations. Solving a TSCOPF problem can be challenging due to (i) the differential-equation constraints in an optimization problem, (ii) the lack of a true analytical expression for transient stability in OPF. To handle the dynamics in TSCOPF, the set of differential equations can be approximated or converted into equivalent algebraic equations before they are included in an OPF formulation. In Chapter 4, a rigorous evaluation of using a predefined and fixed threshold for rotor angles as a mean to determine transient stability of the system is developed. TSCOPF can be modeled as a large-scale nonlinear programming problem including the constraints of differential-algebraic equations (DAE). Solving a TSCOPF problem can be challenging due to (i) the differential-equation constraints in an optimization problem, (ii) the lack of a true analytical expression for transient stability constraint in OPF. Unfortunately, even the current best TSCOPF solvers still suffer from the curse of dimensionality and unacceptable computational time, especially for large-scale power systems with multiple contingencies. In chapter 5, thse issues will be addressed and a new method to incorporate the transient stability constraints will be presented.
Research on stochastic power-flow study methods. Final report
Heydt, G. T. [ed.] [ed.
1981-01-01T23:59:59.000Z
A general algorithm to determine the effects of uncertainty in bus load and generation on the output of conventional power flow analysis is presented. The use of statistical moments is presented and developed as a means for representing the stochastic process. Statistical moments are used to describe the uncertainties, and facilitate the calculations of single and multivarlate probability density functions of input and output variables. The transformation of the uncertainty through the power flow equations is made by the expansion of the node equations in a multivariate Taylor series about an expected operating point. The series is truncated after the second order terms. Since the power flow equations are nonlinear, the expected values of output quantities is in general not the solution to the conventional load flow problem using expected values of input quantities. The second order transformation offers a correction vector and allows the consideration of larger uncertainties which have caused significant error in the current linear transformation algorithms. Voltage controlled busses are included with consideration of upper and lower limits. The finite reactive power available at generation sites, and fixed ranges of transformer tap movement may have a significant effect on voltage and line power flow statistics. A method is given which considers limitation constraints in the evaluation of all output quantities. The bus voltages, line power flows, transformer taps, and generator reactive power requirements are described by their statistical moments. Their values are expressed in terms of the probability that they are above or below specified limits, and their expected values given that they do fall outside the limits. Thus the algorithm supplies information about severity of overload as well as probability of occurrence. An example is given for an eleven bus system, evaluating each quantity separately. The results are compared with Monte Carlo simulation.
Dynamic Power Flow Controller: Compact Dynamic Phase Angle Regulators for Transmission Power Routing
None
2012-01-03T23:59:59.000Z
GENI Project: Varentec is developing compact, low-cost transmission power controllers with fractional power rating for controlling power flow on transmission networks. The technology will enhance grid operations through improved use of current assets and by dramatically reducing the number of transmission lines that have to be built to meet increasing contributions of renewable energy sources like wind and solar. The proposed transmission controllers would allow for the dynamic control of voltage and power flow, improving the grids ability to dispatch power in real time to the places where it is most needed. The controllers would work as fail-safe devices whereby the grid would be restored to its present operating state in the event of a controller malfunction instead of failing outright. The ability to affordably and dynamically control power flow with adequate fail-safe switchgear could open up new competitive energy markets which are not possible under the current regulatory structure and technology base.
Optimal channel allocation with dynamic power control in cellular networks
Wu, Xin; Bari, Ataul; 10.5121/ijcnc.2011.3206
2011-01-01T23:59:59.000Z
Techniques for channel allocation in cellular networks have been an area of intense research interest for many years. An efficient channel allocation scheme can significantly reduce call-blocking and calldropping probabilities. Another important issue is to effectively manage the power requirements for communication. An efficient power control strategy leads to reduced power consumption and improved signal quality. In this paper, we present a novel integer linear program (ILP) formulation that jointly optimizes channel allocation and power control for incoming calls, based on the carrier-to-interference ratio (CIR). In our approach we use a hybrid channel assignment scheme, where an incoming call is admitted only if a suitable channel is found such that the CIR of all ongoing calls on that channel, as well as that of the new call, will be above a specified value. Our formulation also guarantees that the overall power requirement for the selected channel will be minimized as much as possible and that no ongoin...
Optimal PMU Placement Evaluation for Power System Dynamic State Estimation
Bishop, Gary
flow along the transmission lines or transformers. Ā· Bus power injection measurements: the real of dis- tribution systems, the line current magnitude measurements (along the transmission lines. Ā· Current phasor measurements: the phase angles and mag- nitudes of current phasors along transmission lines
OPTIMIZATION OF COAL PARTICLE FLOW PATTERNS IN LOW NOX BURNERS
Jost O.L. Wendt; Gregory E. Ogden; Jennifer Sinclair; Stephanus Budilarto
2001-09-04T23:59:59.000Z
It is well understood that the stability of axial diffusion flames is dependent on the mixing behavior of the fuel and combustion air streams. Combustion aerodynamic texts typically describe flame stability and transitions from laminar diffusion flames to fully developed turbulent flames as a function of increasing jet velocity. Turbulent diffusion flame stability is greatly influenced by recirculation eddies that transport hot combustion gases back to the burner nozzle. This recirculation enhances mixing and heats the incoming gas streams. Models describing these recirculation eddies utilize conservation of momentum and mass assumptions. Increasing the mass flow rate of either fuel or combustion air increases both the jet velocity and momentum for a fixed burner configuration. Thus, differentiating between gas velocity and momentum is important when evaluating flame stability under various operating conditions. The research efforts described herein are part of an ongoing project directed at evaluating the effect of flame aerodynamics on NO{sub x} emissions from coal fired burners in a systematic manner. This research includes both experimental and modeling efforts being performed at the University of Arizona in collaboration with Purdue University. The objective of this effort is to develop rational design tools for optimizing low NO{sub x} burners. Experimental studies include both cold-and hot-flow evaluations of the following parameters: primary and secondary inlet air velocity, coal concentration in the primary air, coal particle size distribution and flame holder geometry. Hot-flow experiments will also evaluate the effect of wall temperature on burner performance.
Heuristic Optimization for the Discrete Virtual Power Plant Dispatch Problem
Petersen, Mette K.; Hansen, Lars H.; Bendtsen, Jan; Edlund, Kristian; Stoustrup, Jakob
2014-10-17T23:59:59.000Z
We consider a virtual power plant, which is given the task of dispatching a fluctuating power supply to a portfolio of flexible consumers. The flexible consumers are modeled as discrete batch processes, and the associated optimization problem is denoted the discrete virtual power plant dispatch problem (DVPPDP). First, the nondeterministic polynomial time (NP)-completeness of the discrete virtual power plant dispatch problem is proved formally. We then proceed to develop tailored versions of the meta-heuristic algorithms hill climber and greedy randomized adaptive search procedure (GRASP). The algorithms are tuned and tested on portfolios of varying sizes. We find that all the tailored algorithms perform satisfactorily in the sense that they are able to find sub-optimal, but usable, solutions to very large problems (on the order of 105 units) at computation times on the scale of just 10 s, which is far beyond the capabilities of the optimal algorithms we have tested. In particular, GRASP sorted shows with the most promising performance, as it is able to find solutions that are both agile (sorted) and well balanced, and consistently yields the best numerical performance among the developed algorithms.
Li, Zhuoyi
2011-02-22T23:59:59.000Z
be used to obtain downhole flow conditions, which is key information to control and optimize horizontal well production. However, the fluid flow in the reservoir is often multiphase and complex, which makes temperature and pressure interpretation very...
Koutsopoulos, Iordanis
2010-01-01T23:59:59.000Z
The smart power grid aims at harnessing information and communication technologies to enhance reliability and enforce sensible use of energy. Its realization is geared by the fundamental goal of effective management of demand load. In this work, we envision a scenario with real-time communication between the operator and consumers. The grid operator controller receives requests for power demands from consumers, with different power requirement, duration, and a deadline by which it is to be completed. The objective is to devise a power demand task scheduling policy that minimizes the grid operational cost over a time horizon. The operational cost is a convex function of instantaneous power consumption and reflects the fact that each additional unit of power needed to serve demands is more expensive as demand load increases.First, we study the off-line demand scheduling problem, where parameters are fixed and known. Next, we devise a stochastic model for the case when demands are generated continually and sched...
Simulation and Optimization on Power Plant Operation Using SEGA's EOP Program
Zhou, J.; Deng, S.; Turner, W. D.; Liu, M.
The operation of a cogeneration power plant is complicated. The Energy Optimization Program (EOP, software made by SEGA, Inc.) was designed to simulate and optimize the operation of TAMU power plant. All major plant components were represented...
Simulation and Optimization on Power Plant Operation Using Sega's EOP Program
Zhou, J.; Deng, S.; Turner, W. D.; Liu, M.
2000-01-01T23:59:59.000Z
The operation of a cogeneration power plant is complicated. The Energy Optimization Program (EOP, software made by SEGA, Inc.) was designed to simulate and optimize the operation of TAMU power plant. All major plant components were represented...
Simulation and Optimization on Power Plant Operation Using Sega's EOP Program
Zhou, J.; Deng, S.; Turner, W. D.; Liu, M.
2000-01-01T23:59:59.000Z
The operation of a cogeneration power plant is complicated. The Energy Optimization Program (EOP, software made by SEGA, Inc.) was designed to simulate and optimize the operation of TAMU power plant. All major plant components were represented...
Optimal Reactive Power Dispatch in Real-Time S. Salamat Sharif1
Taylor, James H.
) an improvement in the volt- age profile and voltage stability, and 2) a savings in ac- tive power loss of view. A reduction in active power loss gained from ORPD can save a significant amount of money reactive power dispatch, power loss minimization, optimization methods 1 Introduction Optimal power
Optimal Power Market Participation of Plug-In Electric Vehicles Pooled by Distribution Feeder
Caramanis, Michael
Optimal Power Market Participation of Plug-In Electric Vehicles Pooled by Distribution Feeder : Power system markets, Power system economics Key Words: Load management, Electric vehicle grid Transactions on Power Systems #12;WORKING PAPER 1 Optimal Power Market Participation of Plug-In Electric
Optimization of auxiliary power systems design for large generating units
Fabri, E.I.; Kang, E.K.; Dusterdick, R.W.
1980-01-01T23:59:59.000Z
Modern fossil and nuclear generating units require the support of a fairly large and complex electric auxiliary power system. The selection of an optimized and cost-effective auxiliary power transformer rating may be a difficult process, since the loading profile and coincident operation of the loads often cannot be firmly defined at an early stage of design. The authors believe that this important design process could be greatly aided by systematic field tests and recording of the actual auxiliary loading profiles during various modes of plant operations.
A STOCHASTIC OPTIMAL CONTROL APPROACH FOR POWER MANAGEMENT IN PLUG-IN HYBRID ELECTRIC VEHICLES
Krstic, Miroslav
A STOCHASTIC OPTIMAL CONTROL APPROACH FOR POWER MANAGEMENT IN PLUG-IN HYBRID ELECTRIC VEHICLES on optimizing PHEV power management for fuel economy, subject to charge sustenance constraints, over individual dynamic programming to optimize PHEV power management over a distribution of drive cycles, rather than
Optimal timeouts for power management under renewal or hidden Markov processes for requests
.g. laser, solid ink) and is usually larger than the power consumption in idle mode. In the sequelOptimal timeouts for power management under renewal or hidden Markov processes for requests Victor mode, so as to optimize a trade-off between power consumption and user impact. The optimal timeout
A Fine-Grained Analysis of the Performance and Power Benefits of Compiler Optimizations for Embedded
Giesbrecht, Mark
optimization phase inside of an adaptive dynamic optimizer if power consumption is of importance. 1 grant. is achieved by hand programming various transformations in PowerPC assembly. Specifically, weA Fine-Grained Analysis of the Performance and Power Benefits of Compiler Optimizations
Probabilistic Vulnerability Assessment Based on Power Flow and Voltage Distribution
Ma, Jian; Huang, Zhenyu; Wong, Pak C.; Ferryman, Thomas A.
2010-04-30T23:59:59.000Z
Risk assessment of large scale power systems has been an important problem in power system reliability study. Probabilistic technique provides a powerful tool to solve the task. In this paper, we present the results of a study on probabilistic vulnerability assessment on WECC system. Cumulant based expansion method is applied to obtain the probabilistic distribution function (PDF) and cumulative distribution function (CDF) of power flows on transmission lines and voltage. Overall risk index based on the system vulnerability analysis is calculated using the WECC system. The simulation results based on WECC system is used to demonstrate the effectiveness of the method. The methodology can be applied to the risk analysis on large scale power systems.
A Comparison of the AC and DC Power Flow Models for LMP Calculations
A Comparison of the AC and DC Power Flow Models for LMP Calculations Thomas J. Overbye, Xu Cheng power flow model for LMP-based market calculations. The paper first provides a general discussion of balanced, three phase, electric power transmission networks is through the solution of the power flow. From
Bertsekas, Dimitri
-switched network. We discuss an integer-linear programming formulation, which can be addressed with highly efficient linear (not integer) programming methods, to obtain optimal or nearly optimal solutions. 1 multicommodity flow problems. We focus in particular on the problem of routing and wavelength assignment (RWA
Global Optimal Routing, Scheduling and Power Control for Multi-hop Wireless Networks with
Tabatabaee, Vahid
Global Optimal Routing, Scheduling and Power Control for Multi-hop Wireless Networks scheduling and power control that minimizes the total average transmission power is found. We formulate the optimal routing scheduling and power control. Simulation results show that this methodology is more
Optimizing with constraints: a case study in scheduling maintenance of electric power units
Dechter, Rina
industry is that of optimally schedulĀ ing preventative maintenance of power generating units within of the electric power industry: optimally scheduling preventative maintenance of power generating units within or two dozen power generating units which can be individually scheduled for preventive maintenance. Both
Optimizing with constraints: a case study in scheduling maintenance of electric power units
Dechter, Rina
is that of optimally schedul- ing preventative maintenance of power generating units within a power plant. We show how: optimally scheduling preventative maintenance of power generating units within a power plant. We de ne can be individually scheduled for preventive maintenance. Both the required duration of each unit
Marisetti, Sudheer N
1990-01-01T23:59:59.000Z
the implementation of a, combined flow control and optimal routing algorithm in packet switched networks. In addition, we study the influence of various objective functions on maximum link utilization, average packet delay, and fairness, The algorithm is based... on the gradient projection method. Flow control is introduced through fictituous links that connect origins to destinations and carry the rejected load. The fictitious links reduce the problem of combined routing and flow control to the optimal routing problem...
Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /
Ghaffari, Azad
2013-01-01T23:59:59.000Z
be realized by capturing wind power at altitudes over the2011. [2] , High altitude wind power systems: A survey onOckels, Optimal cross-wind towing and power generation with
A MultiPhase Power Flow Model for Grid Analysis A. P. Sakis Meliopoulos
A MultiPhase Power Flow Model for µµµµGrid Analysis A. P. Sakis Meliopoulos School of Electrical multiphase power flow analysis method that provides exact solution to the operation of the µGrid under steady
Power Supply and Consumption Co-Optimization of Portable Embedded Systems with
Pedram, Massoud
Power Supply and Consumption Co-Optimization of Portable Embedded Systems with Hybrid Power Supply proposed. In this work, we consider a portable embedded system with a hybrid power supply and executing periodic real-time tasks. We perform system power management from both the power supply side and the power
Density Power Spectrum of Compressible Hydrodynamic Turbulent Flows
Jongsoo Kim; Dongsu Ryu
2005-07-26T23:59:59.000Z
Turbulent flows are ubiquitous in astrophysical environments, and understanding density structures and their statistics in turbulent media is of great importance in astrophysics. In this paper, we study the density power spectra, $P_{\\rho}$, of transonic and supersonic turbulent flows through one and three-dimensional simulations of driven, isothermal hydrodynamic turbulence with root-mean-square Mach number in the range of $1 \\la M_{\\rm rms} \\la 10$. From one-dimensional experiments we find that the slope of the density power spectra becomes gradually shallower as the rms Mach number increases. It is because the density distribution transforms from the profile with {\\it discontinuities} having $P_{\\rho} \\propto k^{-2}$ for $M_{\\rm rms} \\sim 1$ to the profile with {\\it peaks} having $P_{\\rho} \\propto k^0$ for $M_{\\rm rms} \\gg 1$. We also find that the same trend is carried to three-dimension; that is, the density power spectrum flattens as the Mach number increases. But the density power spectrum of the flow with $M_{\\rm rms} \\sim 1$ has the Kolmogorov slope. The flattening is the consequence of the dominant density structures of {\\it filaments} and {\\it sheets}. Observations have claimed different slopes of density power spectra for electron density and cold H I gas in the interstellar medium. We argue that while the Kolmogorov spectrum for electron density reflects the {\\it transonic} turbulence of $M_{\\rm rms} \\sim 1$ in the warm ionized medium, the shallower spectrum of cold H I gas reflects the {\\it supersonic} turbulence of $M_{\\rm rms} \\sim$ a few in the cold neutral medium.
Fast optimal CMB power spectrum estimation with Hamiltonian sampling
J. F. Taylor; M. A. J. Ashdown; M. P. Hobson
2008-05-14T23:59:59.000Z
We present a method for fast optimal estimation of the temperature angular power spectrum from observations of the cosmic microwave background. We employ a Hamiltonian Monte Carlo (HMC) sampler to obtain samples from the posterior probability distribution of all the power spectrum coefficients given a set of observations. We compare the properties of the HMC and the related Gibbs sampling approach on low-resolution simulations and find that the HMC method performs favourably even in the regime of relatively low signal-to-noise. We also demonstrate the method on high-resolution data by applying it to simulated WMAP data. Analysis of a WMAP-sized data set is possible in a around eighty hours on a high-end desktop computer. HMC imposes few conditions on the distribution to be sampled and provides us with an extremely flexible approach upon which to build.
Power Optimization Using Divide-and-Conquer Techniques for Minimization of
Potkonjak, Miodrag
Power Optimization Using Divide-and- Conquer Techniques for Minimization of the Number University of Massachusetts at Amherst We introduce an approach for power optimization using a set-and-conquer compilation technique to minimize the number of operations for general computations. Our technique optimizes
Engine optimal operation lines for power-split hybrid electric vehicles
Papalambros, Panos
. Keywords: hybrid electric vehicle, power split, energy management strategy, optimal operation lineEngine optimal operation lines for power-split hybrid electric vehicles Kukhyun Ahn* and P Y of degrees of freedom in energy management. Optimization problems for the two operation modes are formulated
Self-Optimization in Mobile Cellular Networks: Power Control and User Association
Paris-Sud XI, UniversitĆ© de
Self-Optimization in Mobile Cellular Networks: Power Control and User Association Chung Shue Chen develop mathematical and algorith- mic tools for the self-optimization of mobile cellular networks the wireless devices are proposed. We focus on the optimization of transmit power and of user association
Self-Optimization of Antenna Tilt and Pilot Power for Dedicated Channels
Paris-Sud XI, UniversitĆ© de
Self-Optimization of Antenna Tilt and Pilot Power for Dedicated Channels Abstract-- In Radio Access Networks (RAN), fixed configurations result in poor network efficiency. This sub- optimal performance present a framework for a self-optimizing RAN, which adapts Antenna Tilt and Pilot Power according
Optimization of a Steady-State Tokamak-Based Power Plant
Optimization of a Steady-State Tokamak-Based Power Plant Farrokh Najmabadi University of California, San Diego, La Jolla, CA IEA Workshop 59 "Shape and aspect ratio optimization for high , steady between a physics optimization and an integrated systems optimization Identify key impact of physics
Optimization of inflow waveform phase-difference for minimized total cavopulmonary power loss
Pekkan, Kerem
Optimization of inflow waveform phase-difference for minimized total cavopulmonary power loss minimized power loss, inside the TCPC pathway is required for the best optimal surgical outcomes we focused on the characterization of power loss changes due to the temporal variations in between
Optimization of Wind Power and Its Variability With a Computational Intelligence Approach
Kusiak, Andrew
Optimization of Wind Power and Its Variability With a Computational Intelligence Approach Zijun is presented for maximizing the generation of wind power while minimizing its variability. In the optimization model, data-driven approaches are used to model the wind-power generation process based on industrial
OPTIMAL POWER/DELAY TRADE-OFFS IN WIRELESS COMMUNICATIONS SMALL DELAY ASYMPTOTICS
Kuzmanovic, Aleksandar
OPTIMAL POWER/DELAY TRADE-OFFS IN WIRELESS COMMUNICATIONS SMALL DELAY ASYMPTOTICS Randall A@ece.northwestern.edu ABSTRACT In this paper we consider the optimal trade-off between av- erage transmission power and average the behavior of this trade-off in the regime of asymptotically large power and small delay. Our focus
Energy 42 (2012) 486-496 Thermoeconomic operation optimization of a coal-fired power plant
Luh, Peter
2012-01-01T23:59:59.000Z
optimization of a coal-fired power plant Jie Xiong a, Haibo Zhao a.*, Chao Zhang a, Chuguang Zheng a, Peter B optimization on a 300 MW coal-fired power plant located in Yiyang (Hunan Province, China) is accomplished based, are succes- sively realized on the power plant. Both strategies aim to minimize the total annual cost ofthe
Optimization and hybridization of membrane-based oxy-combustion power plants
Gunasekaran, Surekha
2013-01-01T23:59:59.000Z
This thesis considers the optimization and hybridization of advanced zero emissions power (AZEP) cycles. More specifically, existing flowsheets for zero and partial emissions are optimized, and new integration schemes with ...
Optimization Online - All Areas Submissions - October 2014
Inexactness of SDP Relaxation for Optimal Power Flow over Radial Networks and Valid ... Optimization Software and Modeling Systems ... Semi-definite relaxations for optimal control problems with oscillation and concentration effects
Optimal Design of Power-Split Transmissions for Hydraulic Hybrid Passenger Vehicles
Li, Perry Y.
Optimal Design of Power-Split Transmissions for Hydraulic Hybrid Passenger Vehicles Kai Loon Cheong, Perry Y. Li and Thomas R. Chase Abstract-- Hydraulic hybrid vehicles are inherently power dense. Power and input coupled power-split configurations. Keywords: Hybrid vehicles, hydraulics, power-split, engine
Stochastic Modeling of a Power-Managed System: Construction and Optimization
Qiu, Qinru
Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract -- The goal of a dynamic power management policy is to reduce the power consumption of a power-managed electronic system. We formulate the problem of system-level power management
Stochastic Modeling of a Power-Managed System: Construction and Optimization
Pedram, Massoud
1 Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract -- The goal of a dynamic power management policy is to reduce the power consumption of a power-managed electronic system. We formulate the problem of system-level power management
A Novel Power Flow Method for Long Term Frequency Stability Analysis
Yan, Wenjin
2013-05-06T23:59:59.000Z
This thesis presents a novel approach for a power system to find a practical power flow solution when all the generators in the system have hit their real power output limits, such as some generator units shutting down or ...
Optimizing interventions for the treatment of vascular flow disruptions
Boval, Brett Lawrence
2014-01-01T23:59:59.000Z
All tissues rely on perfusion and therefore intact blood flow. When flow is disrupted the coupled interaction between the functional and fluid domains of a tissue is impeded and viability is lost. Aortic stenosis is a ...
Sastry, Ann Marie
2005-01-01T23:59:59.000Z
, and lifetime in selection of appropriate battery electro- chemistries and configurations (i.e. parallel, series several power ranges (micro-, milli- and Watt); or (3) a power system designed to be housed within-charge of the batteries). Future work will be focused on continuously improving our present tool. © 2005 Elsevier B.V. All
Oren, Shmuel S.
into electric network optimization models. Optimal transmission switching is a straight- forward way to leverage economics, power system reliability, power transmission control, power transmission economics. NOMENCLATURE. Generator. Set of generators at node . Transmission element (line or transformer). Set of transmission
A Global Optimization Approach to the Design of Solar Power Plants
E. Carrizosa
2014-04-01T23:59:59.000Z
Apr 1, 2014 ... A Global Optimization Approach to the Design of Solar Power Plants. E. Carrizosa (ecarrizosa ***at*** us.es) C. DomĆnguez-Bravo ...
A decomposition approach to optimal reactive power dispatch in large-scale power systems
Deeb, N.I.
1989-01-01T23:59:59.000Z
Power systems network operation is aimed at reducing system losses and minimizing the operational cost while satisfying performance requirements in normal and contingency situations. In this project, the procedure for the reactive power optimization has the solutions for investment and operation subproblems. The global solution is an iterative process between these two subproblems using the Bender decomposition method. In the investment subproblem decisions for the capacity and location of new reactive sources are made. These decisions are used in the optimization of the system operation. The outstanding features of the proposed method are that it does not require any matrix inversion, will save computation time and memory space, and can be implemented on very large scale power systems. The method employs a linearized objective function and constraints, and is based on adjusting control variables which are tap positions of transformers and reactive power injections. Linear programming is used to calculate voltage increments, which would minimize transmission losses, and adjustments of control variables would be obtained by a modified Jacobian matrix. This approach would greatly simplify the application of Dantzig-Wolfe decomposition method for solving the operation subproblem. According to the mathematical features of the Dantzig-Wolfe method, a multi-area approach is implemented and system equations are decomposed into a master problem and several subproblems. The master problem is formed by constraints, which represent linking transmission lines between areas. Two updated techniques are incorporated in the method to enhance the optimization process, which would save additional computation time and memory space. The proposed method is applied to the IEEE-30 bus system, a 60-bus system, a 180-bus system and a 1200-bus system, and numerical results are presented.
Combinational logic optimization for low power using implication-based transformations
Swarna, Madhukiran V.
1997-01-01T23:59:59.000Z
, Minpower, which reduces power consumption is presented. Heuristics and methods which help in guiding the optimization procedure towards a circuit with minimal power cost will be presented. Finally, experimental results on the ISCAS85 benchmark set and a...
Start-up Optimization of a Combined Cycle Power Plant A. Linda, E. Sllberga,
. Keywords: Combined Cycle Power Plants, Start-up, Dynamic optimization, Optimica, Control, Modelica are obtained by simulating Modelica power plant models. The study has been carried out to de- velop simplified
Potkonjak, Miodrag
Power Optimization in Programmable Processors and ASIC Implementations of Linear Systems and communications. We introduce two approaches for power minimization in linear computations using transformations: Transformation-based Approach Mani Srivastava Miodrag Potkonjak AT&T Bell Laboratories Computer Science
Security Constrained Optimal Power Flow via Proximal Message Passing
--Alternating Direction Method of Multipliers (ADMM), Locational Marginal Price (LMP), Augmented La- grangian, Shift
DC Optimal Power Flow Formulation in AMES Leigh Tesfatsion
Tesfatsion, Leigh
demand (i.e., a 24-hour load profile) to be sold downstream at a regulated price r to its retail) and a collection of energy traders consisting of J Load-Serving Enti- ties (LSEs) and I Generation Companies (Gen
A parallel textured algorithm for optimal power flow
Hsieh, Shih-Chieh
1992-01-01T23:59:59.000Z
125 LIST OF FIGURES FIGURE Pa. ge A 4-bus system. . 17 A 5-bus system X. The textured decomposition of system X. 25 System V The textured decomposition of system V. System W. The textured decomposition of system 1V. 48 System X...
Power Flow Modelling of Dynamic Systems - Introduction to Modern Teaching Tools
Geitner, Gert-Helge
2015-01-01T23:59:59.000Z
As tools for dynamic system modelling both conventional methods such as transfer function or state space representation and modern power flow based methods are available. The latter methods do not depend on energy domain, are able to preserve physical system structures, visualize power conversion or coupling or split, identify power losses or storage, run on conventional software and emphasize the relevance of energy as basic principle of known physical domains. Nevertheless common control structures as well as analysis and design tools may still be applied. Furthermore the generalization of power flow methods as pseudo-power flow provides with a universal tool for any dynamic modelling. The phenomenon of power flow constitutes an up to date education methodology. Thus the paper summarizes fundamentals of selected power flow oriented modelling methods, presents a Bond Graph block library for teaching power oriented modelling as compact menu-driven freeware, introduces selected examples and discusses special f...
Paris-Sud XI, Université de
Optimal transition from coal to gas and renewable power under capacity constraints and adjustment existing coal power plants to gas and renewable power under a carbon budget. It solves a model of polluting, exhaustible resources with capacity constraints and adjustment costs (to build coal, gas, and renewable power
Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System
Paris-Sud XI, Université de
Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System David Hern strategies are proposed for the power management subsystem of a hybrid fuel cell/supercapacitor power generation system. The control strate- gies are based on different control configurations involving the power
LQ Optimal Control of Wind Turbines in Hybrid Power Systems N.A. Cutululis1
LQ Optimal Control of Wind Turbines in Hybrid Power Systems N.A. Cutululis1 , H. Bindner1 , I power systems represent a viable solution for rural electrification. One of the most important aspects taken into account for the design of a wind diesel power system is the wind power penetration, which
Optimization Online - Achieving Cost-Effective Power Grid ...
Wei Yuan
2014-12-29T23:59:59.000Z
Dec 29, 2014 ... Abstract: Vulnerability of power grid is a critical issue in power industry. In order to understand and reduce power grid vulnerability under ...
Sastry, Ann Marie
2006-01-01T23:59:59.000Z
, and lifetime in selection of appropriate battery electro- chemistries and configurations (i.e. parallel, series to be housed within specified spaces within the system. POWER was verified by conducting two case studies-charge of the batteries). Future work will be focused on continuously improving our present tool. © 2005 Elsevier B.V. All
Optimal Power Policy for Energy Harvesting Transmitters with Inefficient Energy Storage
Yener, Aylin
1 Optimal Power Policy for Energy Harvesting Transmitters with Inefficient Energy Storage Kaya with an inefficient energy storage device, i.e., battery or capacitor, is considered, where a fraction of the stored for optimal power allocations with energy harvesting transmitters, it is observed that storage losses
Heuristically Optimized Trade-Offs: A New Paradigm for Power Laws in the Internet
Fabrikant, Alex
Ā122, 2002. c Springer-Verlag Berlin Heidelberg 2002 #12;Heuristically Optimized Trade-Offs 111 Power lawsHeuristically Optimized Trade-Offs: A New Paradigm for Power Laws in the Internet Alex Fabrikant1 , Elias Koutsoupias2 , and Christos H. Papadimitriou1 1 Computer Science Division University of California
Optimal power-delay trade-offs in fading channels -small delay asymptotics
Kuzmanovic, Aleksandar
1 Optimal power-delay trade-offs in fading channels - small delay asymptotics Randall A. Berry Dept, we study the behavior of the optimal power-delay trade-off for a single user in the regime@ece.northwestern.edu Abstract When transmitting stochastically arriving data over fading channels there is an inherent trade
HypoEnergy: Hybrid supercapacitor-battery power-supply optimization for Energy efficiency
HypoEnergy: Hybrid supercapacitor-battery power-supply optimization for Energy efficiency Azalia the hybrid battery-supercapacitor power supply life- time. HypoEnergy combines high energy density and supercapacitors' charging overhead. HypoEnergy-KI studies the hybrid supply lifetime optimization
Automatic Layout Optimization of a Double Sided Power Module Regarding Thermal and EMC constraints
Paris-Sud XI, UniversitĆ© de
Automatic Layout Optimization of a Double Sided Power Module Regarding Thermal and EMC constraints. The chip position and power layout is automatically generated according to the best EMC/Thermal trade off. Optimization techniques use simple but fairly accurate EMC and Thermal models, presented in this paper
Simulating calculations and optimization design of a new HVDC supply power for light rail system
Boyer, Edmond
Simulating calculations and optimization design of a new HVDC supply power for light rail system-In this paper, a new HVDC power supply system for light rail systems is presented and compared to classical such a complex system, taking into account vehicle motion and HVDC electrical distribution. Then, an optimization
Chen, Rong-Rong
Power Control for Multiple Access Channel with Peak and Average Power Constraints Rong-Rong Chen}I@ece.utah.edu Abstract- In this paper, we study optimal power control for multiple access channel with peak and average and the receiver. We characterize the structures of the optimal power control policy and show that the optimal
Liu, G.; Liu, M.
2006-01-01T23:59:59.000Z
This paper presents a new building energy monitoring and pump speed control method. The pump speed is controlled to maintain the system resistance at an optimized value to approach the best pump efficiency and save pump power. The system resistance...
Pollock, George G. (San Ramon, CA)
1997-01-01T23:59:59.000Z
Two power supplies are combined to control a furnace. A main power supply heats the furnace in the traditional manner, while the power from the auxiliary supply is introduced as a current flow through charged particles existing due to ionized gas or thermionic emission. The main power supply provides the bulk heating power and the auxiliary supply provides a precise and fast power source such that the precision of the total power delivered to the furnace is improved.
Pollock, G.G.
1997-01-28T23:59:59.000Z
Two power supplies are combined to control a furnace. A main power supply heats the furnace in the traditional manner, while the power from the auxiliary supply is introduced as a current flow through charged particles existing due to ionized gas or thermionic emission. The main power supply provides the bulk heating power and the auxiliary supply provides a precise and fast power source such that the precision of the total power delivered to the furnace is improved. 5 figs.
Magnetoelectric-field helicities and reactive power flows
Kamenetskii, E O; Shavit, R
2015-01-01T23:59:59.000Z
The dual symmetry between the electric and magnetic fields underlies Maxwell's electrodynamics. Due to this symmetry one can describe topological properties of an electromagnetic field in free space and obtain the conservation law of optical (electromagnetic) helicity. What kind of the field helicity one can expect to see when the electromagnetic-field symmetry is broken? The near fields originated from small ferrite particles with magnetic dipolar mode (MDM) oscillations are the fields with the electric and magnetic components, but with broken dual (electric-magnetic) symmetry. These fields, called magnetoelectric (ME) fields, have topological properties different from such properties of electromagnetic fields. The helicity states of ME fields are topologically protected quantum like states. In this paper, we study the helicity properties of ME fields. We analyze conservation laws of the ME-field helicity and show that the helicity density is related to an imaginary part of the complex power flow density. We...
None
2012-02-24T23:59:59.000Z
GENI Project: Sandia National Laboratories is working with several commercial and university partners to develop software for market management systems (MMSs) that enable greater use of renewable energy sources throughout the grid. MMSs are used to securely and optimally determine which energy resources should be used to service energy demand across the country. Contributions of electricity to the grid from renewable energy sources such as wind and solar are intermittent, introducing complications for MMSs, which have trouble accommodating the multiple sources of price and supply uncertainties associated with bringing these new types of energy into the grid. Sandias software will bring a new, probability-based formulation to account for these uncertainties. By factoring in various probability scenarios for electricity production from renewable energy sources in real time, Sandias formula can reduce the risk of inefficient electricity transmission, save ratepayers money, conserve power, and support the future use of renewable energy.
Flow control optimization in a jet engine serpentine inlet duct
Kumar, Abhinav
2009-05-15T23:59:59.000Z
Computational investigations were carried out on an advanced serpentine jet engine inlet duct to understand the development and propagation of secondary flow structures. Computational analysis which went in tandem with experimental investigation...
Finding Benefits by Modeling and Optimizing Steam and Power Systems
Jones, B.; Nelson, D.
2007-01-01T23:59:59.000Z
A site-wide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well...
Finding Benefits by Modeling and Optimizing Steam and Power Systems
Jones, B.; Nelson, D.
2007-01-01T23:59:59.000Z
A site-wide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well...
Paris-Sud XI, Université de
for optimal dispatching of power flows in a microgrid with storage. The investigated approach is based Scheduling and Sensitivity Analysis for Sizing a Microgrid with Storage. (2014) In: 11th International ANALYSIS FOR SIZING A MICROGRID WITH STORAGE R. Rigo-Mariani1 , B. Sareni1 , X. Roboam1 1. Université de
Passive Acoustic Detection of Wind Turbine In-Flow Conditions for Active Control and Optimization
Murray, Nathan E.
2012-03-12T23:59:59.000Z
Wind is a significant source of energy; however, the human capability to produce electrical energy still has many hurdles to overcome. One of these is the unpredictability of the winds in the atmospheric boundary layer (ABL). The ABL is highly turbulent in both stable and unstable conditions (based on the vertical temperature profile) and the resulting fluctuations can have a dramatic impact on wind turbine operation. Any method by which these fluctuations could be observed, estimated, or predicted could provide a benefit to the wind energy industry as a whole. Based on the fundamental coupling of velocity fluctuations to pressure fluctuations in the nearly incompressible flow in the ABL, This work hypothesizes that a ground-based array of infrasonic pressure transducers could be employed to estimate the vertical wind profile over a height relevant for wind turbines. To analyze this hypothesis, experiments and field deployments were conducted. Wind tunnel experiments were performed for a thick turbulent boundary layer over a neutral or heated surface. Surface pressure and velocity probe measurements were acquired simultaneously. Two field deployments yielded surface pressure data from a 49 element array. The second deployment at the Reese Technology Center in Lubbock, TX, also included data from a smaller aperture, 96-element array and a 200-meter tall meteorological tower. Analysis of the data successfully demonstrated the ability to estimate the vertical velocity profile using coherence data from the pressure array. Also, dynamical systems analysis methods were successful in identifying and tracking a gust type event. In addition to the passive acoustic profiling method, this program also investigated a rapid response Doppler SODAR system, the optimization of wind turbine blades for enhanced power with reduced aeroacoustic noise production, and the implementation of a wireless health monitoring system for the wind turbine blades. Each of these other objectives was met successfully. The use of phase unwrapping applied to SODAR data was found to yield reasonable results for per-pulse measurements. A health monitoring system design analysis was able to demonstrate the ability to use a very small number of sensors to monitor blade health based on the blade's overall structural modes. Most notable was the development of a multi-objective optimization methodology that successfully yielded an aerodynamic blade design that produces greater power output with reduced aerodynamic loading noise. This optimization method could be significant for future design work.
An investigation of two network flow optimization algorithms
Steelquist, John Anders
1973-01-01T23:59:59.000Z
in Chapter V. The program listing for the Out-of-Kilter algorithm and the SUP ERKIL algorithm can be found in Appendix B and Appendix C. These algorithms are applied to network flow problems. Network flow problems are solved through the application... applications. [ [4 5 12 161 Some of these have clarified and extended the range of applications of the Out-of-Kilter algorithm. Several computer codes have been written to apply the Out-of- Kilter algorithm to actual problems. The code used...
Primus Power's Flow Battery Powered by $11 Million in Private Investment
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 directed off Energy.gov. Are you sure you wantJoin us for| Department of Energy Primus Power's Flow
A Set-Theoretic Framework to Assess the Impact of Variable Generation on the Power Flow
Liberzon, Daniel
penetration of renewable resources of electricity, such as wind and solar, into existing power systems. Since renewable resources vary in rated power output and point of grid interconnection, they affect power systems1 A Set-Theoretic Framework to Assess the Impact of Variable Generation on the Power Flow Xichen
An Efficient Mechanism for Power Control Optimization in MBMS Enabled UTRAN
Bouras, Christos
An Efficient Mechanism for Power Control Optimization in MBMS Enabled UTRAN Antonios Alexiou@cti.gr Abstract--This paper proposes a power control mechanism for the efficient radio bearer selection combination of the above parameters is proposed. The proposed MBMS power control mechanism selects
Slow Admission and Power Control for Small Cell Networks via Distributed Optimization
Paris-Sud XI, Université de
Slow Admission and Power Control for Small Cell Networks via Distributed Optimization Siew Eng Nai on a large-scale basis. In recent work, we developed the joint admission and power control algorithm for two of the joint admission and power control problem where the small cells can determine jointly
Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization
Huang, Jianwei
Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization Liqun Fu--This paper concerns the problem of finding the minimum-length TDMA frame of a power-controlled wire- less formulate the general joint link scheduling and power control problem as an in- teger linear programming
OPTIMIZATION STRATEGIES FOR THE VULNERABILITY ANALYSIS OF THE ELECTRIC POWER GRID
Pinar, Ali
OPTIMIZATION STRATEGIES FOR THE VULNERABILITY ANALYSIS OF THE ELECTRIC POWER GRID ALI PINAR, JUAN would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerability analysis can be studied as a bilevel mixed integer nonlinear programming
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 6, JUNE 2014 1495 Optimal Power Management in
Pappas, George J.
and the conventional linear quadratic regulator control cost. Since plant inputs and transmit powers are in general, networked control systems, power adaptation, wireless fading channels. I. INTRODUCTION THE networked controlIEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 6, JUNE 2014 1495 Optimal Power Management
Bulk CMOS Device Optimization for High-Speed and Ultra-Low Power Operations
Nyathi, Jabulani
Bulk CMOS Device Optimization for High-Speed and Ultra-Low Power Operations Brent Bero and Jabulani- Interest in subthreshold design has increased due to the emergence of systems that require ultra-low power creating a clear divide between designing for high speed and ultra-low power. It might be beneficial
Optimal Power Control in CDMA Networks with Constraints on Outage Probability
Paris-Sud XI, Université de
power control al- gorithm is developed for large systems of users. Simulation results are presented of this previous work deals with invariant channel models. Any power control scheme that attempts to follow fastOptimal Power Control in CDMA Networks with Constraints on Outage Probability John Papandriopoulos
Time series power flow analysis for distribution connected PV generation.
Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J. [Georgia Institute of Technology, Atlanta, GA; Smith, Jeff [Electric Power Research Institute, Knoxville, TN; Dugan, Roger [Electric Power Research Institute, Knoxville, TN
2013-01-01T23:59:59.000Z
Distributed photovoltaic (PV) projects must go through an interconnection study process before connecting to the distribution grid. These studies are intended to identify the likely impacts and mitigation alternatives. In the majority of the cases, system impacts can be ruled out or mitigation can be identified without an involved study, through a screening process or a simple supplemental review study. For some proposed projects, expensive and time-consuming interconnection studies are required. The challenges to performing the studies are twofold. First, every study scenario is potentially unique, as the studies are often highly specific to the amount of PV generation capacity that varies greatly from feeder to feeder and is often unevenly distributed along the same feeder. This can cause location-specific impacts and mitigations. The second challenge is the inherent variability in PV power output which can interact with feeder operation in complex ways, by affecting the operation of voltage regulation and protection devices. The typical simulation tools and methods in use today for distribution system planning are often not adequate to accurately assess these potential impacts. This report demonstrates how quasi-static time series (QSTS) simulation and high time-resolution data can be used to assess the potential impacts in a more comprehensive manner. The QSTS simulations are applied to a set of sample feeders with high PV deployment to illustrate the usefulness of the approach. The report describes methods that can help determine how PV affects distribution system operations. The simulation results are focused on enhancing the understanding of the underlying technical issues. The examples also highlight the steps needed to perform QSTS simulation and describe the data needed to drive the simulations. The goal of this report is to make the methodology of time series power flow analysis readily accessible to utilities and others responsible for evaluating potential PV impacts.
Numerical Simulation of the Flow of a Power Law Fluid in an Elbow Bend
Kanakamedala, Karthik
2010-07-14T23:59:59.000Z
A numerical study of flow of power law fluid in an elbow bend has been carried out. The motivation behind this study is to analyze the velocity profiles, especially the pattern of the secondary flow of power law fluid in a bend as there are several...
AN OPTIMIZATION APPROACH TO UNCERTAINTY PROPAGATION IN BOUNDARY LOAD FLOW
Stankovię, Aleksandar
.g., SCADA) and network parame- ters. The method is potentially applicable to large-scale power systems) possible errors in measurements (e.g., SCADA). Topological uncertainties are linked with the fidelity. On the other hand, errors in network parameters and in SCADA measurements tend to be smaller in size
Optimal monitoring and visualization of steady state power system operation
Xu, Bei
2009-06-02T23:59:59.000Z
estimation becomes more critical. Recently, due to the development of new technology in high power electronics, new control and monitoring devices are becoming more popular in power systems. It is therefore necessary to investigate their models and integrate...
Optimal Power Grid Protection through A Defender-Attacker ...
2013-08-05T23:59:59.000Z
Abstract. Power grid vulnerability is a major concern of our society, and its protection problem is often formulated as a tri-level ... tacks on electric power systems across the world. [24]. A study ... extensively discussed critical infrastructure pro-.
Optimization of the axial power shape in pressurized water reactors
Melik, M. A.
1981-01-01T23:59:59.000Z
Analytical and numerical methods have been applied to find the optimum axial power profile in a PWR with respect to uranium utilization. The preferred shape was found to have a large central region of uniform power density, ...
Wroblewski, David (Mentor, OH); Katrompas, Alexander M. (Concord, OH); Parikh, Neel J. (Richmond Heights, OH)
2009-09-01T23:59:59.000Z
A method and apparatus for optimizing the operation of a power generating plant using artificial intelligence techniques. One or more decisions D are determined for at least one consecutive time increment, where at least one of the decisions D is associated with a discrete variable for the operation of a power plant device in the power generating plant. In an illustrated embodiment, the power plant device is a soot cleaning device associated with a boiler.
ac power flow: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
are observed. 2. The package thermal impedance Kretchmar, R. Matthew 266 Nuclear Power Plant Design Project Fission and Nuclear Technologies Websites Summary: Nuclear Power Plant...
Optimal Power Control for Energy Harvesting Transmitters in an Interference Channel
Yener, Aylin
water- filling algorithm. A practical distributed algorithm requiring only local energy harvestingOptimal Power Control for Energy Harvesting Transmitters in an Interference Channel Kaya harvesting transmit- ters and two corresponding receivers are considered. Energy harvesting transmitters have
Incremental costs and optimization of in-core fuel management of nuclear power plants
Watt, Hing Yan
1973-01-01T23:59:59.000Z
This thesis is concerned with development of methods for optimizing the energy production and refuelling decision for nuclear power plants in an electric utility system containing both nuclear and fossil-fuelled stations. ...
On the Power and Limitations of Affine Policies in Two-Stage Adaptive Optimization
Bertsimas, Dimitris J.
We consider a two-stage adaptive linear optimization problem under right hand side uncertainty with a minmax objective and give a sharp characterization of the power and limitations of affine policies (where the second ...
Birge, Jonathan R.
The optimization of phase distortion spectral power density is proposed as an alternative to GDD minimization of ultrafast cavity mirrors. This criterion is shown to minimize the detuning of cavity resonances from a uniform comb.
Optimal adaptive control of cascading power grid failures
Daniel Bienstock
2010-12-17T23:59:59.000Z
Dec 17, 2010 ... Abstract: We describe experiments with parallel algorithms for computing adaptive controls for attenuating power grid cascading failures.
OPTIMAL DISTRIBUTED POWER GENERATION UNDER NETWORK LOAD CONSTRAINTS,
Frank, Jason
of novel components for decentral power generation (solar panels, small wind turbines and heat pumps). This gives rise to the question how many units of each type (solar panel, small wind turbine or central-producers. Decentralized Power Generation (DPG) refers to an electric power source such as solar, wind or combined heat
Optimal distributed power generation under network load constraints
Utrecht, Universiteit
wind turbines and heat pumps). This gives rise to the question how many units of each type (solar panel, mainly because of the development of novel components for decentral power generation (solar panels, small (DPG) refers to an electric power source such as solar, wind or combined heat power (CHP) connected
Optimal Power Allocation in Channel-Coded Wireless Sudarshan Vasudevan
Massachusetts at Amherst, University of
energy. However, for many communication links, such as those employing turbo codes or sequentially transmitted RF power for receiver decoder power can result in significant improvements in overall energy transmission. The gains are particularly pronounced in wireless networks with asymmetric power costs. 1
Optimal Power Allocation in ChannelCoded Wireless Sudarshan Vasudevan
Massachusetts at Amherst, University of
energy. However, for many communication links, such as those employing turbo codes or sequentially transmitted RF power for receiver decoder power can result in significant improvements in overall energy transmission. The gains are particularly pronounced in wireless networks with asymmetric power costs. 1
Flow analysis and nozzle-shape optimization for the cold-gas dynamic-spray process
Grujicic, Mica
Flow analysis and nozzle-shape optimization for the cold-gas dynamic-spray process M Grujicic1*, W, maximizes the acceleration of the particles. Furthermore, it is found that if the cold-spray nozzle, a significant increase in the average velocity of the particles at the nozzle exit can be obtained
The impact of uncertainty on shape optimization of idealized bypass graft models in unsteady flow
Marsden, Alison L.
in the upstream proximal angle. The impact of cost function choice on the optimal solution was explored construction of a graft over a blocked blood vessel. Depending on the location and the underlying disease of surgical geometry on flow fields and hence wall- shear stress WSS , oscillatory shear index OSI , wall
DifferentialGeometric Methods: a Powerful Set of New Tools for Optimal Control
Sussmann, Hector
such as static and dynamic stabilization, linearĀquadratic control, linear timeĀoptimal control, various nonlinear systems ā?? x = f(x; u), possibly linear in the control u, posssibly required to satisfy someDifferentialĀGeometric Methods: a Powerful Set of New Tools for Optimal Control H'ector J. Sussmann
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System
Qiu, Qinru
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System and issues control commands periodically. Reference [3] models the similar system using the continuous a full observation of the entire system status. In this paper, we propose a new modeling and optimization
Asymptotically Optimal Power-Aware Routing for Multihop Wireless Networks with Renewable
Srikant, Rayadurgam
1 Asymptotically Optimal Power-Aware Routing for Multihop Wireless Networks with Renewable Energy the performance of multihop radio networks in the presence of energy constraints, and design routing algorithms to optimally utilize the available energy. The energy model allows vastly different energy sources
Potkonjak, Miodrag
1 Optimizing the Output of a Human-Powered Energy Harvesting System with Miniaturization mechanical energy from human foot-strikes and explore its configuration and control towards optimized energy output. Dielectric Elastomers (DEs) are high-energy density, soft, rubber-like material
Power Supply Optimization in Sub-130 nm Leakage Dominant Technologies Man L Mui Kaustav Banerjee a methodology for systematically optimizing the power supply voltage for maximizing the performance of VLSI cir- cuits in technologies where leakage power is not an insignificant fraction of the total power
Ferris, Michael C.
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 1469 Optimal Transmission Switching, power system economics, power transmission control, power transmission economics. NOMENCLATURE Indices optimal dispatch of generation and transmission topology to meet load as a mixed integer program (MIP
Aerodynamic optimization of a solar powered race vehicle
Augenbergs, Peteris K
2006-01-01T23:59:59.000Z
Aerodynamic optimization was performed on Tesseract, the MIT Solar Electric Vehicle Team's 2003-2005 solar car using Wind Tunnel 8 at Jacobs/Sverdrup Drivability Test Facility in Allen Park, MI. These tests include angle ...
Automated Synthesis Tool for Design Optimization of Power Electronic Converters
Mirjafari, Mehran
2013-01-09T23:59:59.000Z
module-integrated photovoltaic inverter is also optimized for efficiency, volume and reliability. An actual converter is constructed using commercial off-the-shelf components. The converter design is chosen as close as possible to a point obtained...
active power flow: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
optimization 1. INTRODUCTION Active material systems on active and combined active and passive (hybrid) vibration suppression systems have shown a good Lindner, Douglas K. 4...
A Power-Law Formulation of Laminar Flow in Short Pipes Max Sherman
A Power-Law Formulation of Laminar Flow in Short Pipes Max Sherman Indoor Environment Program ABSTRACT This report develops a theoretical description of the hydrodynamic relationship based on a power pipes can be described with a simple power law dependence on pressure, but that the exponent
A Novel Power Flow Method for Long Term Frequency Stability Analysis
Yan, Wenjin
2013-05-06T23:59:59.000Z
This thesis presents a novel approach for a power system to find a practical power flow solution when all the generators in the system have hit their real power output limits, such as some generator units shutting down or load outages. The approach...
A Zonotope-Based Method for Capturing the Effect of Variable Generation on the Power Flow
Liberzon, Daniel
of a power system; this uncertainty arises from the increasing penetration of renewable resources that the uncertain generation can take by a zonotope and propagate it through a linearized power flow model take values within a symmetric polytope. This uncertainty is propagated through the power system model
Randomized flow model and centrality measure for electrical power transmission network analysis
Boyer, Edmond
the vulnerability of electric power infrastructure systems [2, 3]. The focus of these types of studies is typically1 Randomized flow model and centrality measure for electrical power transmission network analysis. Centrality measures can then be coherently defined. An example of application to an electrical power
Designing Optimal Heat and Power Systems for Industrial Processes
Rutkowski, M. A.; Witherell, W. D.
Power Research Institute (EPRI) of Palo Alto, California. In the paper, the use of Pinch Technology as a tool for analyzing industrial processes is demonstrated along with proper simulation of a corresponding heat and power system. For each process...Xisting design to determine improvement opportunities. INTRODUCTION This paper presents the results of a study conducted for the Electric Power Research Institute (EPRI) by Linnhoff March. The objective of this study was to develop a methodology...
Power flow analysis for DC voltage droop controlled DC microgrids
Chaudhary, Sanjay
loss, such as photovoltaic panels, batteries, fuel cells, LEDs, and electronic loads, DC microgrids sharing and secondary voltage regulation can now be analytically studied, and specialized optimization of the DC microgrid, in term of systematic analysis, protection coordination design, network optimization
Zitney, S.E.
2007-06-01T23:59:59.000Z
Emerging fossil energy power generation systems must operate with unprecedented efficiency and near-zero emissions, while optimizing profitably amid cost fluctuations for raw materials, finished products, and energy. To help address these challenges, the fossil energy industry will have to rely increasingly on the use advanced computational tools for modeling and simulating complex process systems. In this paper, we present the computational research challenges and opportunities for the optimization of fossil energy power generation systems across the plant lifecycle from process synthesis and design to plant operations. We also look beyond the plant gates to discuss research challenges and opportunities for enterprise-wide optimization, including planning, scheduling, and supply chain technologies.
Optimization Online - A Power Penalty Method for Second-order ...
Zijun Hao
2014-04-26T23:59:59.000Z
Apr 26, 2014 ... A Power Penalty Method for Second-order Cone Nonlinear Complementarity Problems. Zijun Hao(haozijun ***at*** whu.edu.cn) Zhongping ...
Optimization Online - Real-Time Dispatchability of Bulk Power ...
Wei Wei
2015-03-16T23:59:59.000Z
Mar 16, 2015 ... Real-Time Dispatchability of Bulk Power Systems with Volatile Renewable Generations. Wei Wei (wei-wei04 ***at*** mails.tsinghua.edu.cn)
Optimization Online - The Worst-case Wind Power Scenario for ...
German Morales-EspaĆ±a
2014-09-16T23:59:59.000Z
Sep 16, 2014 ... The Worst-case Wind Power Scenario for Adaptive Robust Unit Commitment Problems. German Morales-EspaĆ±a(gmorales ***at*** kth.se).
Two-Stage Robust Power Grid Optimization Problem
2011-01-02T23:59:59.000Z
which has a significant share of combined heat and power units. ... to a waste of available resources and violates the policy of utilizing renewable energy as ...
Optimal Power Procurement and Demand Response with Quality-of-Usage Guarantees
Huang, Longbo
1 Optimal Power Procurement and Demand Response with Quality-of-Usage Guarantees Longbo Huang, Jean the utility company to jointly perform power procurement and demand response so as to maximize the social are the inte- gration of renewable energy technologies [1] and the design of efficient user demand-response
A Self-Optimizing Embedded Microprocessor using a Loop Table for Low Power
Vahid, Frank
A Self-Optimizing Embedded Microprocessor using a Loop Table for Low Power Frank Vahid* and Ann describe an approach for a microprocessor to tune itself to its fixed application to reduce power in an embedded system. We define a basic architecture and methodology supporting a microprocessor self
Optimization and control of large power engineering systems (principal investigation results)
Belyaev, L.S.; Gorskii, Yu.M.; Krumm, L.A.; Makarov, A.A.; Merenkov, A.P.; Popyrin, L.S.; Rudenko, Yu.N.; Sher, I.A.
1980-01-01T23:59:59.000Z
Principal scientific and practical results of investigations in the development of theory and methods of optimization and control of large power engineering systems, conducted under the scientific and methodological management of the USSR Academy of Sciences Scientific Council on complex problems of power engineering are characterized and the investigation development tasks are formulated. 52 refs.
Demirel, Melik C.
PENNSTATE Department of Mechanical and Nuclear Engineering Spring 2012 East Campus Power Plant Deaerator Optimization Overview In the East Campus Power plant a new Deaerator system has been installed which Deaerator is the most efficient and then make a recommendation to the plant of which one should
Heuristically Optimized Trade-o s: A New Paradigm for Power Laws in the Internet
Fabrikant, Alex
Heuristically Optimized Trade-o#11;s: A New Paradigm for Power Laws in the Internet Alex Fabrikant 1 , Elias Koutsoupias 2? , and Christos H. Papadimitriou 1?? 1 Computer Science Division University, U.S.A. elias@cs.ucla.edu Abstract. We propose a plausible explanation of the power law distri
Heuristically Optimized Trade-offs: A New Paradigm for Power Laws in the Internet
Koutsoupias, Elias
Heuristically Optimized Trade-offs: A New Paradigm for Power Laws in the Internet Alex Fabrikant1 , Elias Koutsoupias2 , and Christos H. Papadimitriou1 1 Computer Science Division University of California.S.A. elias@cs.ucla.edu Abstract. We propose a plausible explanation of the power law distri- butions
An Interactive Context-aware Power Management Technique for Optimizing Sensor Network Lifetime
Simunic, Tajana
An Interactive Context-aware Power Management Technique for Optimizing Sensor Network Lifetime an important event with desired fidelity). To that end, in this paper we propose a novel interactive power sensor data and system specifications (battery and solar panel specs, sensing and communication costs
Optimal Design of Macrocells for Low Power and High Speed
Sapatnekar, Sachin
the power dissipation so as to avoid additional costs for cooling down electronic systems. In this context, controlling the power dissipation of integrated circuits is gaining increased importance. While progress for nonportable applications, as the system complexity increases, it is becoming more and more important to limit
Power Estimation and Optimization at the Logic Massoud Pedram
Pedram, Massoud
or on a multiple-chip module. Unless power consumption is dramatically reduced, the resulting heat will limit is that excessive power consumption is becoming the limiting factor in integrating more transistors on a single chip at various levels. For example, at the algo- rithmic level, correct data representation and choice
Finding Benefits by Modeling and Optimizing Steam and Power Systems
Harper, C.; Nelson, D. A.
2008-01-01T23:59:59.000Z
operator is given optimal production targets to achieve from Visual MESA Online writing to the plants SCADA system. The OCC duty control engineer monitors Bayous operations and the online Visual MESA model and also runs offline models to analyze potential...
Flow Shop Scheduling with Peak Power Consumption Constraints
2012-09-23T23:59:59.000Z
1.00. 1.00. 1.00. NA: for these instances, the ro ot. LP relaxations of the form ulations did not solve in less than. 5s. T able. 8: Average optimality gap for instances.
Smart Grid Application of Optimal Transmission Switching
Ferris, Michael C.
;6 Introduction continued Electric Transmission Network Flow Problem Optimal Power Flow (OPF) AlternatingSmart Grid Application of Optimal Transmission Switching By, Kory W. Hedman, et al.* University (Professor, UC Berkeley) #12;2 Motivation Co-optimize transmission topology and generation dispatch
Optimal structure of US power transmission system for targeted investments
Okunev, Alexander, 1957-
2004-01-01T23:59:59.000Z
This thesis analyses the historical development and deregulation of the U.S. Electrical Power Industry and its impact on the structure of Transmission System. The results of introducing competition in generation and creating ...
Optimizing hysteretic power loss of magnetic ferrite nanoparticles
Chen, Ritchie
2013-01-01T23:59:59.000Z
This thesis seeks to correlate hysteretic power loss of tertiary ferrite nanoparticles in alternating magnetic fields to trends predicted by physical models. By employing integration of hysteresis loops simulated from ...
Kansas City Power & Light- Energy Optimizer Programmable Thermostat Program
Broader source: Energy.gov [DOE]
Kansas City Power and Light (KCP&L) offers a free programmable thermostat and free installation to qualifying customers to manage energy usage. Only residential and small commercial customers...
Adaptive primary side control for a wireless power transfer optimization
Bogoda, Thilani Imanthika Dissanayake
2012-01-01T23:59:59.000Z
A resonant inductive wireless power transfer system, consisting of a primary (transmitter) circuit and secondary (receiver) circuit, was designed and implemented. This document also contains a novel indirect feedback method ...
Kansas City Power and Light- Energy Optimizer Programmable Thermostat Program
Broader source: Energy.gov [DOE]
Kansas City Power and Light (KCP&L) offers a free Honeywell programmable thermostat, worth $300, and free installation to qualifying customers to manage energy usage. Only residential and small...
ILP and Iterative LP Solutions for Peak and Average Power Optimization in HLS
Ramanujam, J. "Ram"
. Ramanujam2 1 Electrical Engineering Dept., Assiut University, Egypt 2 Electrical and Computer Engineering as average power and energy consumptions. As the design problem becomes large, exact solution takes-flow graph (DFG) executes. We define Scheduling for Low Power and Energy (SLoPE) in high-level synthesis
An Equivalent Network for Load-Flow Analysis of Power Systems
Johnson, Merion Luke
1960-01-01T23:59:59.000Z
AN EQUIVALENT NETWORK FOR LOAD-FLOW ANALYSIS OF POWER SYSTEMS A Thesis by Meri on L. Johnson Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partihl fulfillment of the requirements for the degree...
Free Flow Power Partners to Improve Hydrokinetic Turbine Performance...
Office of Environmental Management (EM)
as the device performed as expected, with no discernible harm to river-dwelling fish. Free Flow has also completed preliminary designs of utility-scale installations at a...
Optimal Design of a PV/Fuel Cell Hybrid Power System for the City of Brest in France
Brest, UniversitĆ© de
. Keywords--Hybrid power system, renewable energy, fuel cell, photovoltaic, generation unit sizing, energy with the optimal design of a stand-alone hybrid photovoltaic and fuel cell power system without battery storage-17]. For such king of hybrid power systems, the sources can be optimally sized with different techniques
The Hybrid Power Flow Controller A New Concept for Flexible AC Transmission
Lehn, Peter W.
large and costly projects. Over the years, environmental, rightofway, and cost prob- lems have delayedThe Hybrid Power Flow Controller A New Concept for Flexible AC Transmission Jovan Z. Bebic Electric flow controller topologies are proposed for flexible AC transmission systems (FACTS). The first one
Journal of Power Sources 128 (2004) 5460 Microfluidic fuel cell based on laminar flow
Kenis, Paul J. A.
2004-01-01T23:59:59.000Z
Journal of Power Sources 128 (2004) 5460 Microfluidic fuel cell based on laminar flow Eric R a novel microfluidic fuel cell concept that utilizes the occurrence of multi-stream laminar flow turbulent mixing. Preliminary results indicate that this novel fuel cell concept may lead to the development
Urgaonkar, Bhuvan
1 A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real for optimizing their utility bills. Our focus is on a subset of this work that carries out demand response (DR
Voltage multi-stability in distribution grids with power flow reversal
Hung D. Nguyen; Konstantin Turitsyn
2014-07-08T23:59:59.000Z
High levels of penetration of distributed generation and aggressive reactive power compensation with modern power electronics may result in the reversal of active and reactive power flows in future distribution grids. The voltage stability of these operating conditions may be very different from the more traditional power consumption regime. We study the stability characteristics of distribution networks with reversed power flow. After introducing a universal algebraic approach to characterize all the solutions of the power flow equations, we show that new solutions appear in the reversed power flow regime even in the simplest three bus systems. We show that the some of these solutions are stable and the system may exhibit a phenomenon of multistability, where multiple stable equilibria co-exist at the given set of parameters, and the system may converge to an undesirable equilibrium after a disturbance. These predictions are validated with dynamic simulations of two different systems. Under certain conditions the new states are viable and may be characterized by relatively high voltages. Possible approaches towards reactive power/voltage regulation as well as permissible distributed generation capacity in future power systems are proposed and discussed in the end of the paper.
Towards optimizing the efficiency of electrical power generation
Al-Zubaidy, S. [Univ. Malaysia Sarawak (Malaysia). Faculty of Engineering; Bhinder, F.S. [Univ. of Hertfordshire, Hatfield (United Kingdom)
1996-12-31T23:59:59.000Z
The thermal efficiency of a gas turbine engine, which ranges between 28% to 33%, may be raised by recovering some of the low grade thermal energy from the exhaust gas to heat the high pressure air leaving the compressor. The overall thermal efficiency of a combined power and power (CCP) cogeneration plant can be raised to about 60%. This is twice the value that may be reached by a modern gas turbine and nearly one and a half times the value that may be reached by a modern steam turbine. The work presented in this paper is an initial and preliminary study of a sponsored project that examines the effect of design parameters on overall performance of the power cycle with the view of producing a code that enables researchers to produce a complete computer simulation of the CCP for the purpose of developing control strategies.
Optimal investment on finite horizon with random discrete order flow in illiquid markets
Paris-Sud XI, Université de
both on trading and observation of the assets. For example, in power markets, trading occurs through at any time but trading occurs more frequently near a terminal horizon. The investor can observe and trade the risky asset only at exogenous random times corresponding to the order flow given
Inexactness of SDP Relaxation and Valid Inequalities for Optimal ...
2014-12-18T23:59:59.000Z
Dec 18, 2014 ... the optimal power flow problem over radial networks is exact under ...... Annual Allerton Conference on Communication, Control, and Com-.
Optimization Online - Information Gap Decision Theory Based OPF ...
rabiee abbas
2015-01-03T23:59:59.000Z
Jan 3, 2015 ... Abstract: A method for solving the optimal power flow (OPF) problem including HVDC connected offshore wind farms is presented in this paper.
Optimized Jacobian Matrix Solution of a generalized electric power network
Moore, Jimmie Archer
1970-01-01T23:59:59.000Z
the logic described in Appendix 2. The remain~. ng logic formulation has been discussed in Chapter II. CHAPTER IV CONCEVSIONS T\\1e technique presented in this paper will solve any electrica' system rot containing voltage regulated bus es in about four..., until a technique of maintaining the renumbered system instead of the originally numbered system can be developeo. , the Gauss- Seidel technique remains clearly superior for the average electrica network requiring pcwer flow analysis. However...
IEEE TRANSACTIONS ON POWER SYSTEMS 1 Abstract--This paper proposes a new approach to model
Cańizares, Claudio A.
markets. Index Terms--Neural network, optimal power flow, power system security, power system stability. IIEEE TRANSACTIONS ON POWER SYSTEMS 1 Abstract--This paper proposes a new approach to model stability and security constraints in Optimal Power Flow (OPF) problems based on a Neural Network (NN
Newton-Krylov Methods in Power Flow and Contingency Analysis
Vuik, Kees
for the generation, transmission, and distribution of electrical energy. Power systems are considered to be the largest and most complex man-made systems. As electrical energy is vital to our society, power systems are calculated given the generation and consumption. In contingency analysis, equipment outages are simulated
Qiu, Qinru
1 Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract -- The goal of a dynamic power management policy is to reduce the power consumption of a power-managed electronic system. We formulate the problem of system-level power management
Method of optimizing performance of Rankine cycle power plants
Pope, William L. (Walnut Creek, CA); Pines, Howard S. (El Cerrito, CA); Doyle, Padraic A. (Oakland, CA); Silvester, Lenard F. (Richmond, CA)
1982-01-01T23:59:59.000Z
A method for efficiently operating a Rankine cycle power plant (10) to maximize fuel utilization efficiency or energy conversion efficiency or minimize costs by selecting a turbine (22) fluid inlet state which is substantially in the area adjacent and including the transposed critical temperature line (46).
Optimization Applications in the Energy and Power Industries November 2009
McCalley, James D.
-emission generation, especially nuclear and "clean coal"; and shifting transportation from fossil fuels to electricity, electric lighting and cooking appliances, as well as modern conveniences such as televisions, computers and power industries. Even so, many have come to associate these industries with waste and pollution
Dynamic Power Optimization Targeting User Delays in Interactive Systems
Zhong, Lin
}@princeton.edu Abstract-- Power has become a major concern for mobile computing systems such as laptops and handhelds, on which a significant fraction of software usage is interactive instead of compute-intensive. For interactive systems, an analysis shows that over 90% of system energy and time is spent waiting for user input
Optimal Power Allocation in ChannelCoded Wireless Sudarshan Vasudevan
Massachusetts at Amherst, University of
, while considering both transmitter circuit and signal energy. However, for many communication links in significant improvements in overall energy consumption or network lifetime versus schemes that always employ networks with asymmetric power costs. 1 Introduction Wireless ad hoc networks and, in particular, sensor
Optimal Power Allocation in Channel-Coded Wireless Sudarshan Vasudevan
Massachusetts at Amherst, University of
, while considering both transmitter circuit and signal energy. However, for many communication links in significant improvements in overall energy consumption or network lifetime versus schemes that always employ networks with asymmetric power costs. 1 Introduction Wireless ad hoc networks and, in particular, sensor
Interline Photovoltaic (I-PV) power system - A novel concept of power flow control and management
Khadkikar, Vinod
This paper presents a new system configuration for a large-scale Photovoltaic (PV) power system with multi-line transmission/distribution networks. A PV power plant is reconfigured in a way that two adjacent power system ...
Optimization Studies for ISOL Type High-Powered Targets
Remec, Igor [Oak Ridge National Laboratory] [Oak Ridge National Laboratory; Ronningen, Reginald Martin [Michigan State University] [Michigan State University
2013-09-24T23:59:59.000Z
The research studied one-step and two-step Isotope Separation on Line (ISOL) targets for future radioactive beam facilities with high driver-beam power through advanced computer simulations. As a target material uranium carbide in the form of foils was used because of increasing demand for actinide targets in rare-isotope beam facilities and because such material was under development in ISAC at TRIUMF when this project started. Simulations of effusion were performed for one-step and two step targets and the effects of target dimensions and foil matrix were studied. Diffusion simulations were limited by availability of diffusion parameters for UCx material at reduced density; however, the viability of the combined diffusion?effusion simulation methodology was demonstrated and could be used to extract physical parameters such as diffusion coefficients and effusion delay times from experimental isotope release curves. Dissipation of the heat from the isotope-producing targets is the limiting factor for high-power beam operation both for the direct and two-step targets. Detailed target models were used to simulate proton beam interactions with the targets to obtain the fission rates and power deposition distributions, which were then applied in the heat transfer calculations to study the performance of the targets. Results indicate that a direct target, with specification matching ISAC TRIUMF target, could operate in 500-MeV proton beam at beam powers up to ~40 kW, producing ~8 1013 fission/s with maximum temperature in UCx below 2200 C. Targets with larger radius allow higher beam powers and fission rates. For the target radius in the range 9-mm to 30-mm the achievable fission rate increases almost linearly with target radius, however, the effusion delay time also increases linearly with target radius.
A Multi-core High Performance Computing Framework for Distribution Power Flow
Franchetti, Franz
power flow is a computation model and method specified for distribution system which often has multi by modeling the renewable energy resources as random variables or stochastic processes [6] [7] [8] [9]. Among to parallelization in hardware / software models. This means extracting these computation power from the hardware
Power Flow Analysis Algorithm for Islanded LV Microgrids Including Distributed Generator Units with
Chaudhary, Sanjay
Power Flow Analysis Algorithm for Islanded LV Microgrids Including Distributed Generator Units With larger portion of growing electricity demand which is being fed through distributed generation (DG power system. Being able to operate in both grid-connected and islanded mode, a microgrid manages
Kusiak, Andrew
operating a variable-speed wind turbine with pitch control to maximize power while minimizing the loads prediction, power ramp rate, data mining, wind turbine operation strategy, generator torque, blade pitch1 Abstract--A bi-objective optimization model of power and power changes generated by a wind
Determining Optimal Equipment Capacities in Cooling, Heating and Power (CHP) Systems
DeVault, Robert C [ORNL; Hudson II, Carl Randy [ORNL
2006-01-01T23:59:59.000Z
Evaluation of potential cooling, heating and power (CHP) applications requires an assessment of the operations and economics of a particular system in meeting the electric and thermal demands of a specific end-use facility. A key determinate in whether a candidate system will be economic is the proper selection of equipment capacities. A methodology to determine the optimal capacities for CHP prime movers and absorption chillers using nonlinear optimization algorithms has been coded into a Microsoft Excel spreadsheet tool that performs the capacity optimization and operations simulation. This paper presents details on the use and results of this publicly available tool.
Comaskey, Brian J. (Walnut Creek, CA); Ault, Earl R. (Livermore, CA); Kuklo, Thomas C. (Oakdale, CA)
2005-07-05T23:59:59.000Z
A high average power, low optical distortion laser gain media is based on a flowing liquid media. A diode laser pumping device with tailored irradiance excites the laser active atom, ion or molecule within the liquid media. A laser active component of the liquid media exhibits energy storage times longer than or comparable to the thermal optical response time of the liquid. A circulation system that provides a closed loop for mixing and circulating the lasing liquid into and out of the optical cavity includes a pump, a diffuser, and a heat exchanger. A liquid flow gain cell includes flow straighteners and flow channel compression.
Zhou, Jijun
2001-01-01T23:59:59.000Z
The operation of a combined cycle cogeneration power plant system is complicated because of the complex interactions among components as well as the dynamic nature of the system. Studies of plant operation through experiments in such a sensitive...
Optimality of binary power-control in a single cell via majorization
Inaltekin, Hazer
2011-01-01T23:59:59.000Z
This paper considers the optimum single cell power-control maximizing the aggregate (uplink) communication rate of the cell when there are peak power constraints at mobile users, and a low-complexity data decoder (without successive decoding) at the base station. It is shown, via the theory of majorization, that the optimum power allocation is binary, which means links are either "on" or "off". By exploiting further structure of the optimum binary power allocation, a simple polynomial-time algorithm for finding the optimum transmission power allocation is proposed, together with a reduced complexity near-optimal heuristic algorithm. Sufficient conditions under which channel-state aware time-division-multiple-access (TDMA) maximizes the aggregate communication rate are established. Finally, a numerical study is performed to compare and contrast the performance achieved by the optimum binary power-control policy with other sub-optimum policies and the throughput capacity achievable via successive decoding. It i...
Online Capable Optimized Planning of Power Split in a Hybrid Energy Storage System
Paderborn, UniversitĆ¤t
Online Capable Optimized Planning of Power Split in a Hybrid Energy Storage System Karl Stephan, D-33095 Paderborn (Germany) {stille,romaus,boecker}@lea.upb.de Abstract--A hybrid energy storage system is an energy storage consisting of more than one type of energy storages combining
Optimal Contract for Wind Power in Day-Ahead Electricity Markets
Adlakha, Sachin
Introduction The insatiable appetite for energy as well as concerns for global warming have led to greater the impact of uncertain production in electricity markets. Current electricity markets consist of primarilyOptimal Contract for Wind Power in Day-Ahead Electricity Markets Desmond W. H. Cai1 Sachin Adlakha2
Popov, Branko N.
2004-01-01T23:59:59.000Z
-ion battery with commercial super capacitors using impedance measurement were car- ried out by Chu and Braatz and the battery system were compared under a similar set of operating parameters. 2. Experimental A Sony US 18650Journal of Power Sources 134 (2004) 130138 Performance optimization of a batterycapacitor hybrid
Optimal Power Allocation and Load Distribution for Multiple Heterogeneous Multicore Server
Stojmenovic, Ivan
clouds and data centers, the aggregated performance of the cloud of clouds can be optimized by load processor, power allocation, queuing model, response time Ē 1 INTRODUCTION 1.1 Motivation CLOUD computing, software, databases, information, and all re- sources are provided to users on-demand. In a data center
Power optimization of wind turbines with data mining and evolutionary computation
Kusiak, Andrew
and non-controllable variables of a wind turbine. An evolutionary strategy algorithm is appliedPower optimization of wind turbines with data mining and evolutionary computation Andrew Kusiak July 2009 Accepted 25 August 2009 Available online 17 September 2009 Keywords: Wind turbine Data mining
Optimization of wind turbine energy and power factor with an evolutionary computation algorithm
Kusiak, Andrew
-controllable variables of a 1.5 MW wind turbine. An evolutionary strategy algorithm solves the data-derived optimization-linear approach to control a variable-speed turbine to maximize power in the presence of generator torque for variable-speed wind turbines. Munteanu et al. [11] applied a linear-quadratic stochastic approach to solve
Optimization of Power in the Problems of Active Control of Sound ?
Optimization of Power in the Problems of Active Control of Sound ? J. Lon#20;cari#19;c 1 Los Alamos- dered by active means, i.e., by introducing the additional acoustic sources called controls that generate the appropriate anti-sound. Previously, we have obtained general solutions for active controls
Optimization of Power in the Problems of Active Control of Sound
Optimization of Power in the Problems of Active Control of Sound J. Loncari“c 1 Los Alamos National, i.e., by introducing the additional acoustic sources called controls that generate the appropriate anti-sound. Previously, we have obtained general solutions for active controls in both continuous
An Optimal Fuzzy Logic Power Sharing Strategy for Parallel Hybrid Electric Vehicles
Brest, Université de
An Optimal Fuzzy Logic Power Sharing Strategy for Parallel Hybrid Electric Vehicles F. Khoucha1 presents a fuzzy logic controller for a Parallel Hybrid Electric Vehicle (PHEV). The PHEV required driving economy, and emissions. Index Terms--Parallel Hybrid Electric Vehicle (PHEV), Internal Combustion Engine
Heuristically Optimized Trade-o s: A New Paradigm for Power Laws in the Internet
Bartal, Yair
. of Athens and UCLA elias@cs.ucla.edu Christos H. Papadimitriou U.C. Berkeley christosHeuristically Optimized Trade-o#11;s: A New Paradigm for Power Laws in the Internet (Extended Abstract for STOC 02) Alex Fabrikant U.C. Berkeley alexf@csua.berkeley.edu Elias Koutsoupias Univ
OPTIMAL OPERATION OF AN INTEGRATED ENERGY PARK INCLUDING FOSSIL FUEL POWER GENERATION,
Stanford University
OPTIMAL OPERATION OF AN INTEGRATED ENERGY PARK INCLUDING FOSSIL FUEL POWER GENERATION, CO2 CAPTURE AND WIND A THESIS SUBMITTED TO THE DEPARTMENT OF ENERGY RESOURCES ENGINEERING OF STANFORD UNIVERSITY of Master of Science in Energy Resources Engineering. (Louis J. Durlofsky) Principal Co-Adviser I certify
Capacity Optimizing Power Loading Scheme for Spatially Constrained Antenna Arrays: Channels
Abhayapala, Thushara D.
Capacity Optimizing Power Loading Scheme for Spatially Constrained Antenna Arrays: Channels and Computer Science The Australian National University Canberra ACT 0200, Australia {tharaka.lamahewa,thushara.abhayapala}@anu.edu.au Tony S. Pollock National ICT Australia Locked Bag 8001, Canberra ACT 2601, Australia tony
Power system analysis project Modeling and Sizing optimization of Stand-alone
Lavaei, Javad
Power system analysis project Modeling and Sizing optimization of Stand-alone photovoltaic in examining the possibility to create a reliable stand-alone hybrid generation system composed of photovoltaic/wind-generator systems zhixing zhang 2013/5/30 Explore the possibility for supplying electricity using solar/wind hybrid
Optimization and Visualization of the North American Eastern Interconnect Power Market
Optimization and Visualization of the North American Eastern Interconnect Power Market Douglas R. Hale DHALE@eia.doe.gov U.S. Energy Information Agency Washington, DC 20585 USA Thomas J. Overbye. Introduction The road to competitive electricity markets in the United States is becoming littered
Powell, Warren B.
IEEE TRANS. ON POWER SYSTEMS, VOL. XX, NO. X, DECEMBER XXXX 1 Tutorial on Stochastic Optimization of a two-part tutorial designed to clarify the modeling of sequential, stochastic optimization (control canonical model for sequential stochastic optimization (control) prob- lems. In our presentation, we
Turitsyn, Konstantin; Backhaus, Scott; Chertkov, Michael
2009-01-01T23:59:59.000Z
We show how distributed control of reactive power can serve to regulate voltage and minimize resistive losses in a distribution circuit that includes a significant level of photovoltaic (PV) generation. To demonstrate the technique, we consider a radial distribution circuit with a single branch consisting of sequentially-arranged residential-scale loads that consume both real and reactive power. In parallel, some loads also have PV generation capability. We postulate that the inverters associated with each PV system are also capable of limited reactive power generation or consumption, and we seek to find the optimal dispatch of each inverter's reactive power to both maintain the voltage within an acceptable range and minimize the resistive losses over the entire circuit. We assume the complex impedance of the distribution circuit links and the instantaneous load and PV generation at each load are known. We compare the results of the optimal dispatch with a suboptimal local scheme that does not require any com...
Song, Yi
2011-01-01T23:59:59.000Z
In a cognitive radio (CR) network, CR users intend to operate over the same spectrum band licensed to legacy networks. A tradeoff exists between protecting the communications in legacy networks and maximizing the throughput of CR transmissions, especially when CR links are unstable due to the mobility of CR users. Because of the non-zero probability of false detection and implementation complexity of spectrum sensing, in this paper, we investigate a sensing-free spectrum sharing scenario for mobile CR ad hoc networks to improve the frequency reuse by incorporating the location awareness capability in CR networks. We propose an optimal power control algorithm for the CR transmitter to maximize the concurrent transmission region of CR users especially in mobile scenarios. Under the proposed power control algorithm, the mobile CR network achieves maximized throughput without causing harmful interference to primary users in the legacy network. Simulation results show that the proposed optimal power control algori...
Sum-Rate Optimal Power Policies for Energy Harvesting Transmitters in an Interference Channel
Tutuncuoglu, Kaya
2011-01-01T23:59:59.000Z
This paper considers a two-user Gaussian interference channel with energy harvesting transmitters. Different than conventional battery powered wireless nodes, energy harvesting transmitters have to adapt transmission to availability of energy at a particular instant. In this setting, the optimal power allocation problem to maximize sum throughput within a given deadline is formulated. The convergence of the proposed iterative coordinate descent method for the problem is proved and the short-term throughput maximizing offline power allocation policy is found. Examples for interference regions with known sum capacities are given with directional water-filling interpretations when possible. Next, stochastic data arrivals are addressed. Finally online and/or distributed near-optimal policies are proposed. Performance of the proposed algorithms are demonstrated through simulations.
Online Optimal Control of Connected Vehicles for Efficient Traffic Flow at Merging Roads
Rios-Torres, Jackeline [ORNL; Malikopoulos, Andreas [ORNL; Pisu, Pierluigi [Clemson University
2015-01-01T23:59:59.000Z
This paper addresses the problem of coordinating online connected vehicles at merging roads to achieve a smooth traffic flow without stop-and-go driving. We present a framework and a closed-form solution that optimize the acceleration profile of each vehicle in terms of fuel economy while avoiding collision with other vehicles at the merging zone. The proposed solution is validated through simulation and it is shown that coordination of connected vehicles can reduce significantly fuel consumption and travel time at merging roads.
Interconnection networks synthesis and optimization
Zhu, Yi
2008-01-01T23:59:59.000Z
Synthesis and Optimization . . . . . . . . . . .1.Wire Style Optimization . . . . . . . . . . . . . B. PowerSynthesis and Optimization . 1. Overview . . . . . . . . . .
Optimization of the output and efficiency of a high power cascaded arc hydrogen plasma source
Vijvers, W. A. J.; Gils, C. A. J. van; Goedheer, W. J.; Meiden, H. J. van der; Veremiyenko, V. P.; Westerhout, J.; Lopes Cardozo, N. J.; Rooij, G. J. van [FOM-Institute for Plasma Physics Rijnhuizen, Association EURATOM-FOM, Trilateral Euregio Cluster, P.O. Box 1207, 3430 BE Nieuwegein (Netherlands); Schram, D. C. [Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven (Netherlands)
2008-09-15T23:59:59.000Z
The operation of a cascaded arc hydrogen plasma source was experimentally investigated to provide an empirical basis for the scaling of this source to higher plasma fluxes and efficiencies. The flux and efficiency were determined as a function of the input power, discharge channel diameter, and hydrogen gas flow rate. Measurements of the pressure in the arc channel show that the flow is well described by Poiseuille flow and that the effective heavy particle temperature is approximately 0.8 eV. Interpretation of the measured I-V data in terms of a one-parameter model shows that the plasma production is proportional to the input power, to the square root of the hydrogen flow rate, and is independent of the channel diameter. The observed scaling shows that the dominant power loss mechanism inside the arc channel is one that scales with the effective volume of the plasma in the discharge channel. Measurements on the plasma output with Thomson scattering confirm the linear dependence of the plasma production on the input power. Extrapolation of these results shows that (without a magnetic field) an improvement in the plasma production by a factor of 10 over where it was in van Rooij et al. [Appl. Phys. Lett. 90, 121501 (2007)] should be possible.
Robinett, Rush D., III; Wilson, David Gerald
2010-05-01T23:59:59.000Z
In this paper, the swing equations for renewable generators are formulated as a natural Hamiltonian system with externally applied non-conservative forces. A two-step process referred to as Hamiltonian Surface Shaping and Power Flow Control (HSSPFC) is used to analyze and design feedback controllers for the renewable generator system. This formulation extends previous results on the analytical verification of the Potential Energy Boundary Surface (PEBS) method to nonlinear control analysis and design and justifies the decomposition of the system into conservative and non-conservative systems to enable a two-step, serial analysis and design procedure. In particular, this approach extends the work done by developing a formulation which applies to a larger set of Hamiltonian Systems that has Nearly Hamiltonian Systems as a subset. The results of this research include the determination of the required performance of a proposed Flexible AC Transmission System (FACTS)/storage device to enable the maximum power output of a wind turbine while meeting the power system constraints on frequency and phase. The FACTS/storage device is required to operate as both a generator and load (energy storage) on the power system in this design. The Second Law of Thermodynamics is applied to the power flow equations to determine the stability boundaries (limit cycles) of the renewable generator system and enable design of feedback controllers that meet stability requirements while maximizing the power generation and flow to the load. Necessary and sufficient conditions for stability of renewable generators systems are determined based on the concepts of Hamiltonian systems, power flow, exergy (the maximum work that can be extracted from an energy flow) rate, and entropy rate.
Optimization under Uncertainty for Water Consumption in a Pulverized Coal Power Plant
Juan M. Salazar; Stephen E. Zitney; Urmila Diwekar
2009-01-01T23:59:59.000Z
Pulverized coal (PC) power plants are widely recognized as major water consumers whose operability has started to be affected by drought conditions across some regions of the country. Water availability will further restrict the retrofitting of existing PC plants with water-expensive carbon capture technologies. Therefore, national efforts to reduce water withdrawal and consumption have been intensified. Water consumption in PC plants is strongly associated to losses from the cooling water cycle, particularly water evaporation from cooling towers. Accurate estimation of these water losses requires realistic cooling tower models, as well as the inclusion of uncertainties arising from atmospheric conditions. In this work, the cooling tower for a supercritical PC power plant was modeled as a humidification operation and used for optimization under uncertainty. Characterization of the uncertainty (air temperature and humidity) was based on available weather data. Process characteristics including boiler conditions, reactant ratios, and pressure ratios in turbines were calculated to obtain the minimum water consumption under the above mentioned uncertainties. In this study, the calculated conditions predicted up to 12% in reduction in the average water consumption for a 548 MW supercritical PC power plant simulated using Aspen Plus. Optimization under uncertainty for these large-scale PC plants cannot be solved with conventional stochastic programming algorithms because of the computational expenses involved. In this work, we discuss the use of a novel better optimization of nonlinear uncertain systems (BONUS) algorithm which dramatically decreases the computational requirements of the stochastic optimization.
Optimization Under Uncertainty for Water Consumption in a Pulverized Coal Power Plant
Juan M. Salazara; Stephen E. Zitney; Urmila M. Diwekara
2009-01-01T23:59:59.000Z
Pulverized coal (PC) power plants are widely recognized as major water consumers whose operability has started to be affected by drought conditions across some regions of the country. Water availability will further restrict the retrofitting of existing PC plants with water-expensive carbon capture technologies. Therefore, national efforts to reduce water withdrawal and consumption have been intensified. Water consumption in PC plants is strongly associated to losses from the cooling water cycle, particularly water evaporation from cooling towers. Accurate estimation of these water losses requires realistic cooling tower models, as well as the inclusion of uncertainties arising from atmospheric conditions. In this work, the cooling tower for a supercritical PC power plant was modeled as a humidification operation and used for optimization under uncertainty. Characterization of the uncertainty (air temperature and humidity) was based on available weather data. Process characteristics including boiler conditions, reactant ratios, and pressure ratios in turbines were calculated to obtain the minimum water consumption under the above mentioned uncertainties. In this study, the calculated conditions predicted up to 12% in reduction in the average water consumption for a 548 MW supercritical PC power plant simulated using Aspen Plus. Optimization under uncertainty for these large-scale PC plants cannot be solved with conventional stochastic programming algorithms because of the computational expenses involved. In this work, we discuss the use of a novel better optimization of nonlinear uncertain systems (BONUS) algorithm which dramatically decreases the computational requirements of the stochastic optimization.
Nanorod Niobium Oxide as Powerful Catalysts for an All Vanadium Redox Flow Battery
Li, Bin; Gu, Meng; Nie, Zimin; Wei, Xiaoliang; Wang, Chong M.; Sprenkle, Vincent L.; Wang, Wei
2014-01-01T23:59:59.000Z
Graphite felts (GFs), as typical electrode materials for all vanadium redox flow batteries (VRBs), limit the cell operation to low current density because of their poor kinetic reversibility and electrochemical activity. Here, in order to address this issue we report an electrocatalyst, Nb2O5, decorating the surface of GFs to reduce the activation barrier for redox conversion. Nb2O5 nanofibers with monoclinic phases are synthesized by hydrothermal method and deposited on GFs, which is confirmed to have catalytic effects towards redox couples of V(II)/V(III) at the negative side and V(IV)/V(V) at the positive side, and thus applied in both electrodes of VRB cells. Due to the low conductivity of Nb2O5, the performance of electrodes heavily depends on the nano size and uniform distribution of catalysts on GFs surfaces. The addition of the water-soluble compounds containing W element into the precursor solutions facilitates the precipitation of nanofibers on the GFs. Accordingly, an optimal amount of W-doped Nb2O5 nanofibers with weaker agglomeration and better distribution on GFs surfaces are obtained, leading to significant improvement of the electrochemical performances of VRB cells particularly under the high power operation. The corresponding energy efficiency is enhanced by 10.7 % under the operation of high charge/discharge current density (150 mAcm-2) owing to faster charge transfer as compared with that without catalysts. These results suggest that Nb2O5 based nanofibers-decorating GFs hold great promise as high-performance electrodes for VRB applications.
JOURNAL OF INDUSTRIAL AND doi:10.3934/jimo.2010.6.xx MANAGEMENT OPTIMIZATION
Oliveira, Aurélio R. L.
such that an efficient interior-point method may be applied. The optimal active power flow model is based on a network. Optimal active power flow, facts devices, network flow model, interior point method. This research control at the transmission level has been know as facts (Flexible AC Transmission Systems). Facts devices
Optimizing a Hybrid Energy Storage System for a Virtual Power Plant for Improved Wind Power
Teodorescu, Remus
. Possibilities to overcome this problem are to increase transmission capacities, demand side management approach to find two optimum energy storages (ESs) to build a hybrid system which is part of a virtual and the EU renewable directive [1] is even demanding for even higher rates of renewable power generation
Optimal Power Allocation in Wireless Networks with Transmitter-Receiver Power Tradeoffs
Massachusetts at Amherst, University of
are more pronounced in networks with asymmetric power costs. 1 Introduction Wireless ad hoc networks have. Habitat monitoring [13], environmental observation and forecasting [1], organ monitoring and health mon has some on board memory for data storage. The deployed nodes not only originate data but can also act
Neubauer, J.; Simpson, M.
2013-10-01T23:59:59.000Z
Commercial facility utility bills are often a strong function of demand charges -- a fee proportional to peak power demand rather than total energy consumed. In some instances, demand charges can constitute more than 50% of a commercial customer's monthly electricity cost. While installation of behind-the-meter solar power generation decreases energy costs, its variability makes it likely to leave the peak load -- and thereby demand charges -- unaffected. This then makes demand charges an even larger fraction of remaining electricity costs. Adding controllable behind-the-meter energy storage can more predictably affect building peak demand, thus reducing electricity costs. Due to the high cost of energy storage technology, the size and operation of an energy storage system providing demand charge management (DCM) service must be optimized to yield a positive return on investment (ROI). The peak demand reduction achievable with an energy storage system depends heavily on a facility's load profile, so the optimal configuration will be specific to both the customer and the amount of installed solar power capacity. We explore the sensitivity of DCM value to the power and energy levels of installed solar power and energy storage systems. An optimal peak load reduction control algorithm for energy storage systems will be introduced and applied to historic solar power data and meter load data from multiple facilities for a broad range of energy storage system configurations. For each scenario, the peak load reduction and electricity cost savings will be computed. From this, we will identify a favorable energy storage system configuration that maximizes ROI.
Optimal Power Procurement and Demand Response with Quality-of-Usage Guarantees
Huang, Longbo; Ramchandran, Kannan
2011-01-01T23:59:59.000Z
In this paper, we propose a general operating scheme which allows the utility company to jointly perform power procurement and demand response so as to maximize the social welfare. Our model takes into consideration the effect of the renewable energy and the multi-stage feature of the power procurement process. It also enables the utility company to provide quality-of-usage (QoU) guarantee to the power consumers, which ensures that the average power usage level meets the target value for each user. To maximize the social welfare, we develop a low-complexity algorithm called the \\emph{welfare maximization algorithm} (WMA), which performs joint power procurement and dynamic pricing. WMA is constructed based on a two-timescale Lyapunov optimization technique. We prove that WMA achieves a close-to-optimal utility and ensures that the QoU requirement is met with bounded deficit. WMA can be implemented in a distributed manner and is robust with respect to system dynamics uncertainty.
Pedram, Massoud
Deriving a Near-optimal Power Management Policy Using Model- Free Reinforcement Learning hardware and application characteristics, dynamic power management (DPM) frameworks must be able to learn about the system inputs and environment and adjust the power management policy on the fly. In this paper
Optimal meter placement and transaction-based loss allocation in deregulated power system operation
Ding, Qifeng
2005-02-17T23:59:59.000Z
(OPF) algorithm to optimize the loss compensation if some transactions elect to purchase the loss service from the Independent System Operator (ISO) and accordingly the incurred losses are fairly allocated back to individual transactions. IEEE test... regulations have been causing the power industry to move rapidly toward the open transmission access, the unbundling of previously integrated services and the creation of regional transmission organizations (RTOs), Independent System Operators (ISOs) and so...
Hendricks, Terry J.; Karri, Naveen K.
2008-04-30T23:59:59.000Z
Advanced, direct thermal energy conversion technologies are receiving increased research attention in order to recover waste thermal energy in advanced vehicles and industrial processes. Advanced thermoelectric (TE) systems necessarily require integrated system-level analyses to establish accurate optimum system designs. Past system-level design and analysis has relied on well-defined deterministic input parameters even though many critically important environmental and system design parameters in the above mentioned applications are often randomly variable, sometimes according to complex relationships, rather than discrete, well-known deterministic variables. This work describes new research and development creating techniques and capabilities for probabilistic design and analysis of advanced TE power generation systems to quantify the effects of randomly uncertain design inputs in determining more robust optimum TE system designs and expected outputs. Selected case studies involving stochastic TE .material properties demonstrate key stochastic material impacts on power, optimum TE area, specific power, and power flux in the TE design optimization process. Magnitudes and directions of these design modifications are quantified for selected TE system design analysis cases
Thermoeconomic design optimization of a KRW-based IGCC power plant
Tsatsaronis, G.; Lin, L.; Pisa, J.; Tawfik, T. (Tennessee Technological Univ., Cookeville, TN (United States). Center for Electric Power)
1991-11-01T23:59:59.000Z
This report discussed the cost and efficiency optimization of an integrated gasification-combined-cycle (IGCC) power plant design and the effects of important design options and parameters. Advanced thermoeconomic techniques were used to evaluate and optimize a given IGCC concept which uses Illinois No. 6 bituminous coal, air-blown KRW coal gasifiers, a hot gas cleanup system, and GE MS7001F gas turbines. Three optimal design concepts are presented and discussed in the report. Two of the concepts are characterized by minimum cost of electricity at two different values of the steam high pressure. The third concept represents the thermodynamic optimum. This study identified several differences between the original design and the design of the optimized cases. Compared with the original concept, significant annual savings are achieved in the cost optimal cases. Comparisons were made between results obtained using both the old and the new performance data for the MS7001F gas turbine. This report discusses the effects of gasification temperature, steam high pressure, coal moisture, and various design options on the overall plant efficiency and cost of electricity. Cost sensitivity studies were conducted and recommendations for future studies were made.
Thermoeconomic design optimization of a KRW-based IGCC power plant. Final report
Tsatsaronis, G.; Lin, L.; Pisa, J.; Tawfik, T. [Tennessee Technological Univ., Cookeville, TN (United States). Center for Electric Power
1991-11-01T23:59:59.000Z
This report discussed the cost and efficiency optimization of an integrated gasification-combined-cycle (IGCC) power plant design and the effects of important design options and parameters. Advanced thermoeconomic techniques were used to evaluate and optimize a given IGCC concept which uses Illinois No. 6 bituminous coal, air-blown KRW coal gasifiers, a hot gas cleanup system, and GE MS7001F gas turbines. Three optimal design concepts are presented and discussed in the report. Two of the concepts are characterized by minimum cost of electricity at two different values of the steam high pressure. The third concept represents the thermodynamic optimum. This study identified several differences between the original design and the design of the optimized cases. Compared with the original concept, significant annual savings are achieved in the cost optimal cases. Comparisons were made between results obtained using both the old and the new performance data for the MS7001F gas turbine. This report discusses the effects of gasification temperature, steam high pressure, coal moisture, and various design options on the overall plant efficiency and cost of electricity. Cost sensitivity studies were conducted and recommendations for future studies were made.
Edwin A. Harvego; Michael G. McKellar
2011-05-01T23:59:59.000Z
There have been a number of studies involving the use of gases operating in the supercritical mode for power production and process heat applications. Supercritical carbon dioxide (CO2) is particularly attractive because it is capable of achieving relatively high power conversion cycle efficiencies in the temperature range between 550°C and 750°C. Therefore, it has the potential for use with any type of high-temperature nuclear reactor concept, assuming reactor core outlet temperatures of at least 550°C. The particular power cycle investigated in this paper is a supercritical CO2 Recompression Brayton Cycle. The CO2 Recompression Brayton Cycle can be used as either a direct or indirect power conversion cycle, depending on the reactor type and reactor outlet temperature. The advantage of this cycle when compared to the helium Brayton Cycle is the lower required operating temperature; 550°C versus 850°C. However, the supercritical CO2 Recompression Brayton Cycle requires an operating pressure in the range of 20 MPa, which is considerably higher than the required helium Brayton cycle operating pressure of 8 MPa. This paper presents results of analyses performed using the UniSim process analyses software to evaluate the performance of the supercritical CO2 Brayton Recompression Cycle for different reactor outlet temperatures. The UniSim model assumed a 600 MWt reactor power source, which provides heat to the power cycle at a maximum temperature of between 550°C and 750°C. The UniSim model used realistic component parameters and operating conditions to model the complete power conversion system. CO2 properties were evaluated, and the operating range for the cycle was adjusted to take advantage of the rapidly changing conditions near the critical point. The UniSim model was then optimized to maximize the power cycle thermal efficiency at the different maximum power cycle operating temperatures. The results of the analyses showed that power cycle thermal efficiencies in the range of 40 to 50% can be achieved.
Urgaonkar, Bhuvan
1 A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real bills. Our focus is on a subset of this work that carries out demand response (DR) by modulating
Development of an entrained flow gasifier model for process optimization study
Biagini, E.; Bardi, A.; Pannocchia, G.; Tognotti, L. [Consorzio Pisa Ric, Pisa (Italy). Div Energia Ambiente
2009-10-15T23:59:59.000Z
Coal gasification is a versatile process to convert a solid fuel in syngas, which can be further converted and separated in hydrogen, which is a valuable and environmentally acceptable energy carrier. Different technologies (fixed beds, fluidized beds, entrained flow reactors) are used, operating under different conditions of temperature, pressure, and residence time. Process studies should be performed for defining the best plant configurations and operating conditions. Although 'gasification models' can be found in the literature simulating equilibrium reactors, a more detailed approach is required for process analysis and optimization procedures. In this work, a gasifier model is developed by using AspenPlus as a tool to be implemented in a comprehensive process model for the production of hydrogen via coal gasification. It is developed as a multizonal model by interconnecting each step of gasification (preheating, devolatilization, combustion, gasification, quench) according to the reactor configuration, that is in entrained flow reactor. The model removes the hypothesis of equilibrium by introducing the kinetics of all steps and solves the heat balance by relating the gasification temperature to the operating conditions. The model allows to predict the syngas composition as well as quantity the heat recovery (for calculating the plant efficiency), 'byproducts', and residual char. Finally, in view of future works, the development of a 'gasifier model' instead of a 'gasification model' will allow different reactor configurations to be compared.
Schmitz, Paul Charles
1990-01-01T23:59:59.000Z
RELIABILITY AND OPTIMIZATION STUDIES OF NUCLEAR AND SOLAR POWERED SYSTEMS UTILIZING A STIRLING ENGINE FOR THE SPACE STATION A Thesis by PAUL CHARLES SCHMITZ Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1990 Major Subject: Nuclear Engineering RELIABILITY AND OPTIMIZATION STUDIES OF NUCLEAR AND SOLAR POWERED SYSTEMS UTILIZING A STIRLING ENGINE FOR THE SPACE STATION A Thesis...
Hiskens, Ian A.
sensitivities are used to obtain optimal parameters of the system using a gradient Newton algorithm. Index Terms--Automatic generation control, bilateral contracts, deregulation, optimization, power system control, trajectory these ancillary services is the automatic gen- eration control (AGC). In the new scenario, a DISCO can con- tract
Optimization strategies for the vulnerability analysis of the electric power grid.
Meza, Juan C. (Lawrence Berkeley National Laboratory); Pinar, Ali; Lesieutre, Bernard (Lawrence Berkeley National Laboratory); Donde, Vaibhav (ABB Inc., Raleigh NC)
2009-03-01T23:59:59.000Z
Identifying small groups of lines, whose removal would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerability analysis can be studied as a mixed integer nonlinear programming (minlp) problem. Our analysis reveals a special structure in the formulation that can be exploited to avoid nonlinearity and approximate the original problem as a pure combinatorial problem. The key new observation behind our analysis is the correspondence between the Jacobian matrix (a representation of the feasibility boundary of the equations that describe the flow of power in the network) and the Laplacian matrix in spectral graph theory (a representation of the graph of the power grid). The reduced combinatorial problem is known as the network inhibition problem, for which we present a mixed integer linear programming formulation. Our experiments on benchmark power grids show that the reduced combinatorial model provides an accurate approximation, to enable vulnerability analyses of real-sized problems with more than 10,000 power lines.
Optimization Strategies for the Vulnerability Analysis of the Electric Power Grid
Pinar, A.; Meza, J.; Donde, V.; Lesieutre, B.
2007-11-13T23:59:59.000Z
Identifying small groups of lines, whose removal would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerability analysis can be studied as a mixed integer nonlinear programming (MINLP) problem. Our analysis reveals a special structure in the formulation that can be exploited to avoid nonlinearity and approximate the original problem as a pure combinatorial problem. The key new observation behind our analysis is the correspondence between the Jacobian matrix (a representation of the feasibility boundary of the equations that describe the flow of power in the network) and the Laplacian matrix in spectral graph theory (a representation of the graph of the power grid). The reduced combinatorial problem is known as the network inhibition problem, for which we present a mixed integer linear programming formulation. Our experiments on benchmark power grids show that the reduced combinatorial model provides an accurate approximation, to enable vulnerability analyses of real-sized problems with more than 10,000 power lines.
The study on flow electrification of oil-cellulose insulating system in large power transformer
Zhang, J.; Cao, L.J. [Nanyang Technological Univ., Singapore (Singapore). School of Electrical and Electronic Engineering
1995-12-31T23:59:59.000Z
Electrical breakdown due to charge accumulation from transformer oil flow has caused many failures of large power transformers world wide. The problem is due to the entrainment of diffused electrical double layer charges into circulating transformer oil. As the charges accumulate on the surface of solid insulating materials and in volume oil, static potential builds up. If the rate of charge accumulation is greater than the rate of charge relaxation, harmful spark discharge may occur. By employing a pressboard pipe model, the present study carried out revealed the influence of higher oil flow rate and upstream charge on flow electrification. By simulating an actual transformer internal structure, it is noticed that there is a probability of partial discharge inception under higher oil circulation velocity. However, the upstream charge and dry zone can lead to a great increase of electric field strength, which may become important potential causes of partial discharge inception under the condition of relative low oil velocity.
Power-law scaling of asymmetries in viscous flow with PT-symmetric inflow and outflow
Huidan; Yu; Xi Chen; Yousheng Xu; Yogesh N. Joglekar
2014-10-13T23:59:59.000Z
In recent years, open systems with balanced loss and gain, that are invariant under the combined parity and time-reversal ($\\mathcal{PT}$) operations, have been studied via asymmetries of their solutions. They represent systems as diverse as coupled optical waveguides and electrical or mechanical oscillators. We numerically investigate the asymmetries of incompressible viscous flow in two and three dimensions with "balanced" inflow-outflow ($\\mathcal{PT}$-symmetric) configurations. By introducing configuration-dependent classes of asymmetry functions in velocity, kinetic energy density, and vorticity fields, we find that the flow asymmetries exhibit power-law scaling with a single exponent in the laminar regime with the Reynolds number ranging over four decades. We show that such single-exponent scaling is expected for small Reynolds numbers, although its robustness at large values of Reynolds numbers is unexpected. Our results imply that $\\mathcal{PT}$-symmetric inflow-outflow configurations provide a hitherto unexplored avenue to tune flow properties.
Labinov, Mark S
2014-01-01T23:59:59.000Z
Industrial and power systems rely on engineering predictions of the flow properties of working fluids. The paper proposes a way of the utilization of the vapor quality values along the new retrograde condensation curve in the generation of the void fraction design guidelines and reliable prediction of the saturated liquid specific volumes/densities. The new procedure eliminates the involvement of semi-empirical relationships like rectilinear diameter and other similar models.
Chertkov, Michael [Los Alamos National Laboratory; Turitsyn, Konstantin [Los Alamos National Laboratory; Backhaus, Scott [Los Alamos National Laboratory; Sule, Petr [NEW MEXICO CONSORTIUM
2009-01-01T23:59:59.000Z
We show how distributed control of reactive power can serve to regulate voltage and minimize resistive losses in a distribution circuit that includes a significant level of photovoltaic (PV) generation. To demonstrate the technique, we consider a radial distribution circuit with a single branch consisting of sequentially-arranged residential-scale loads that consume both real and reactive power. In parallel, some loads also have PV generation capability. We postulate that the inverters associated with each PV system are also capable of limited reactive power generation or consumption, and we seek to find the optimal dispatch of each inverter's reactive power to both maintain the voltage within an acceptable range and minimize the resistive losses over the entire circuit. We assume the complex impedance of the distribution circuit links and the instantaneous load and PV generation at each load are known. We compare the results of the optimal dispatch with a suboptimal local scheme that does not require any communication. On our model distribution circuit, we illustrate the feasibility of high levels of PV penetration and a significant (20% or higher) reduction in losses.
IMPROVING ENERGY EFFICIENCY VIA OPTIMIZED CHARGE MOTION AND SLURRY FLOW IN PLANT SCALE SAG MILLS
Raj K. Rajamani; Sanjeeva Latchireddi; Sravan K. Prathy; Trilokyanath Patra
2005-12-01T23:59:59.000Z
The U.S. mining industry operates approximately 80 semi-autogenesis grinding mills (SAG) throughout the United States. Depending on the mill size the SAG mills draws between 2 MW and 17 MW. The product from the SAG mill is further reduced in size using pebble crushers and ball mills. Hence, typical gold or copper ore requires between 2.0 and 7.5 kWh per ton of energy to reduce the particle size. Considering a typical mining operation processes 10,000 to 100,000 tons per day the energy expenditure in grinding is 50 percent of the cost of production of the metal. A research team from the University of Utah is working to make inroads into saving energy in these SAG mills. In 2003, Industries of the Future Program of the Department of Energy tasked the University of Utah team to build a partnership between the University and the mining industry for the specific purpose of reducing energy consumption in SAG mills. A partnership was formed with Cortez Gold Mines, Kennecott Utah Copper Corporation, Process Engineering Resources Inc. and others. In the current project, Cortez Gold Mines played a key role in facilitating the 26-ft SAG mill at Cortez as a test mill for this study. According to plant personnel, there were a number of unscheduled shut downs to repair broken liners and the mill throughput fluctuated depending on ore type. The University team had two softwares, Millsoft and FlowMod to tackle the problem. Millsoft is capable of simulating the motion of charge in the mill. FlowMod calculates the slurry flow through the grate and pulp lifters. Based on this data the two models were fine-tuned to fit the Cortez SAG will. In the summer of 2004 a new design of shell lifters were presented to Cortez and in September 2004 these lifters were installed in the SAG mill. By December 2004 Cortez Mines realized that the SAG mill is drawing approximately 236-kW less power than before while maintaining the same level of production. In the first month there was extreme cycling and operators had to learn more. Now the power consumption is 0.3-1.3 kWh/ton lower than before. The actual SAG mill power draw is 230-370 kW lower. Mill runs 1 rpm lesser in speed on the average. The re-circulation to the cone crusher is reduced by 1-10%, which means more efficient grinding of critical size material is taking place in the mill. All of the savings have resulted in reduction of operating cost be about $0.023-$0.048/ ton.
Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems
Giannakis, Georgios
method for determining the active- and reactive-power set points for PV inverters in residential systems and ensuring voltage regulation. Binary PV-inverter selection variables and nonlinear power-flow relations--Distribution networks, inverter control, optimal power flow (OPF), photovoltaic (PV) systems, sparsity, voltage
Mudge, Trevor
Abstract There is growing need analyze and optimize standĀby component power digital circuits dynamic computational workloads. Analytical models leakage current, dynamic power, frequency a function supply voltage body derived and verified with SPICE simulation. Given these models, show how derive
Kumar, Ratnesh
1 Abstract--This paper proposes an optimization based method of planning reactive power control for electric transmission systems to endow them with the capability of being reconfigured to a secure planning, reactive power control, reconfiguration, voltage stability. I. INTRODUCTION PPROPRIATE long
Popov, Branko N.
Performance Optimization of Battery-Super Capacitor Hybrid System Electrochemical capacitors a decreased value of power and energy densities for the hybrid system. Figure 1shows the fractional capacity (ultracapacitors) offer high power density when compared to battery systems and also have a relatively large energy
Tatematsu, Y., E-mail: tatema@fir.u-fukui.ac.jp; Yamaguchi, Y.; Kawase, T.; Ichioka, R.; Ogawa, I.; Saito, T.; Idehara, T. [Research Center for Development of Far-Infrared Region, University of Fukui, Fukui 910-8507 (Japan)
2014-08-15T23:59:59.000Z
The oscillation characteristics of Gyrotron FU CW GIII and its wave frequency and output power dependences on the magnetic field strength, the gun coil current, and the anode voltage were investigated experimentally. The experimental results were analyzed theoretically using a self-consistent code that included the electron properties in the cavity, corresponding to the actual operating conditions in the experiments. As a result, it was found that the variation in frequency with the magnetic field strength was related to an axial profile change in the electromagnetic wave in the cavity. In addition, the optimal condition that gives the maximum output power was found to be determined by the pitch factor rather than by the electron beam radius under the given operating conditions.
Backpropagation architecture optimization and an application in nuclear power plant diagnostics
Basu, A.; Bartlett, E.B.
1993-04-01T23:59:59.000Z
This paper presents a Dynamic Node Architecture (DNA) scheme to optimize the architecture of backpropagation Artificial Neural Networks (ANNs). This network scheme is used to develop an ANN based diagnostic adviser capable of identifying the operating status of a nuclear power plant. Specifically, a ``root`` network is trained to diagnose if the plant is in a normal operating condition or not. In the event of an abnormal condition, and other ``classifier`` network is trained to recognize the particular transient taking place. these networks are trained using plant instrumentation data gathered during simulations of the various transients and normal operating conditions at the Iowa Electric Light and Power Company`s Duane Arnold Energy Center (DAEC) operator training simulator.
Backpropagation architecture optimization and an application in nuclear power plant diagnostics
Basu, A.; Bartlett, E.B.
1993-01-01T23:59:59.000Z
This paper presents a Dynamic Node Architecture (DNA) scheme to optimize the architecture of backpropagation Artificial Neural Networks (ANNs). This network scheme is used to develop an ANN based diagnostic adviser capable of identifying the operating status of a nuclear power plant. Specifically, a root'' network is trained to diagnose if the plant is in a normal operating condition or not. In the event of an abnormal condition, and other classifier'' network is trained to recognize the particular transient taking place. these networks are trained using plant instrumentation data gathered during simulations of the various transients and normal operating conditions at the Iowa Electric Light and Power Company's Duane Arnold Energy Center (DAEC) operator training simulator.
Antos, D.J.; Nisbett, E.G. [National Forge Co., Irvine, PA (United States)
1997-12-31T23:59:59.000Z
The bulk of the large crankshaft production volume is associated with the medium speed diesel engine market. These engines have seen intense development to obtain higher power outputs without change in the physical size of the crankshaft and at the same time there has been continuing pressure to reduce costs. Fatigue and bearing normal wear are the major technical hurdles that threaten the crankshaft life, and measures for dealing with these issues are described. Continuous grain flow (CGF) crankshafts are responsible for the continued integrity of these enhanced power output engines and the production of these crankshafts is described. Comparisons are made with the older slab forging crankshaft production method. The demand for the medium speed diesel engine and its natural gas derivative is strong and supports an aggressive engine building industry serving locomotive, marine and power generation markets. This demand in turn relies on practical national standards that serve the needs of the engine builder, material supplier and the end user.
Optimal Design of a Stand-Alone Hybrid PV/Fuel Cell Power System for the City of Brest in France
Paris-Sud XI, Université de
, energy cost, HOMER. Nomenclature HOMER = Hybrid Optimization Model for Electric Renewables; PV as a secondary source of energy [18-19]. For such king of hybrid power systems, the sources can be optimallyOptimal Design of a Stand-Alone Hybrid PV/Fuel Cell Power System for the City of Brest in France
Optimization of electrode characteristics for the Br?/H? redox flow cell
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Tucker, Michael C.; Cho, Kyu Taek; Weber, Adam Z.; Lin, Guangyu; Van Nguyen, Trung
2015-01-01T23:59:59.000Z
The Br?/H? redox flow cell shows promise as a high-power, low-cost energy storage device. The effect of various aspects of material selection, processing, and assembly of electrodes on the operation, performance, and efficiency of the system is determined. In particular, (+) electrode thickness, cell compression, hydrogen pressure, and () electrode architecture are investigated. Increasing hydrogen pressure and depositing the () catalyst layer on the membrane instead of on the carbon-paper backing layers have a large positive impact on performance, enabling a limiting current density above 2 A cm-2 and a peak power density of 1.4 W cm-2. Maximum energy efficiencymore »of 79% is achieved. In addition, the root cause of limiting-current behavior in this system is elucidated, where it is found that Br? reversibly adsorbs at the Pt () electrode for potentials exceeding a critical value, and the extent of Br? coverage is potential-dependent. This phenomenon limits maximum cell current density and must be addressed in system modeling and design. These findings are expected to lower system cost and enable higher efficiency.« less
Optimization of electrode characteristics for the Br2/H2 redox flow cell
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Tucker, Michael C.; Cho, Kyu Taek; Weber, Adam Z.; Lin, Guangyu; Nguyen, Trung V.
2014-10-01T23:59:59.000Z
The Br2/H2 redox flow cell shows promise as a high-power, low-cost energy storage device. The effect of various aspects of material selection, processing, and assembly of electrodes on the operation, performance, and efficiency of the system is determined. In particular, (+) electrode thickness, cell compression, hydrogen pressure, and (?) electrode architecture are investigated. Increasing hydrogen pressure and depositing the (?) catalyst layer on the membrane instead of on the carbon paper backing layers have a large positive impact on performance, enabling a limiting current density above 2 A cm?2 and a peak power density of 1.4 W cm?2. Maximum energymore »efficiency of 79 % is achieved. In addition, the root cause of limiting-current behavior in this system is elucidated, where it is found that Br? reversibly adsorbs at the Pt (?) electrode for potentials exceeding a critical value, and the extent of Br? coverage is potential-dependent. This phenomenon limits maximum cell current density and must be addressed in system modeling and design. These findings are expected to lower system cost and enable higher efficiency.« less
Optimization of electrode characteristics for the Br2/H2 redox flow cell
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Tucker, Michael C.; Cho, Kyu Taek; Weber, Adam Z.; Lin, Guangyu; Nguyen, Trung V.
2014-10-01T23:59:59.000Z
The Br2/H2 redox flow cell shows promise as a high-power, low-cost energy storage device. The effect of various aspects of material selection, processing, and assembly of electrodes on the operation, performance, and efficiency of the system is determined. In particular, (+) electrode thickness, cell compression, hydrogen pressure, and (?) electrode architecture are investigated. Increasing hydrogen pressure and depositing the (?) catalyst layer on the membrane instead of on the carbon paper backing layers have a large positive impact on performance, enabling a limiting current density above 2 A cm?2 and a peak power density of 1.4 W cm?2. Maximum energy efficiency of 79 % is achieved. In addition, the root cause of limiting-current behavior in this system is elucidated, where it is found that Br? reversibly adsorbs at the Pt (?) electrode for potentials exceeding a critical value, and the extent of Br? coverage is potential-dependent. This phenomenon limits maximum cell current density and must be addressed in system modeling and design. These findings are expected to lower system cost and enable higher efficiency.
Zhang, Junshan
2010-11 Electrical Engineering BSE/EPES 4-year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical
Zhang, Junshan
2011-12 Electrical Engineering BSE/EPES 4-year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical
Numerical Polynomial Homotopy Continuation Method to Locate All The Power Flow Solutions
Dhagash Mehta; Hung Nguyen; Konstantin Turitsyn
2014-08-12T23:59:59.000Z
The manuscript addresses the problem of finding all solutions of power flow equations or other similar nonlinear system of algebraic equations. This problem arises naturally in a number of power systems contexts, most importantly in the context of direct methods for transient stability analysis and voltage stability assessment. We introduce a novel form of homotopy continuation method called the numerical polynomial homotopy continuation (NPHC) method that is mathematically guaranteed to find all the solutions without ever encountering a bifurcation. The method is based on embedding the real form of power flow equation in complex space, and tracking the generally unphysical solutions with complex values of real and imaginary parts of the voltage. The solutions converge to physical real form in the end of the homotopy. The so-called $\\gamma$-trick mathematically rigorously ensures that all the paths are well-behaved along the paths, so unlike other continuation approaches, no special handling of bifurcations is necessary. The method is \\textit{embarrassingly parallelizable} and can be applied to reasonably large sized systems. We demonstrate the technique by analysis of several standard test cases up to the 14-bus system size. Finally, we discuss possible strategies for scaling the method to large size systems, and propose several applications for transient stability analysis and voltage stability assessment.
Chertkov, M; Turtisyn, K; Chernyak, V; Lebedev, V
2011-01-01T23:59:59.000Z
We consider a model of a distribution feeder connecting multiple loads to the sub-station. Voltage is controlled directly at the head of the line (sub-station), however, voltage anywhere further down the line is subject to fluctuations, caused by irregularities of real and reactive distributed power consumption/generation. The lack of a direct control of voltage along the line may result in the voltage instability, also called voltage collapse - phenomenon well known and documented in the power engineering literature. Motivated by emerging photo-voltaic technology, which brings a new source of renewable generation but also contributes significant increase in power flow fluctuations, we reexamine the phenomenon of voltage stability and collapse. In the limit where the number of consumers is large and spatial variations in power flows are smooth functions of position along the feeder, we derive a set of the power flow Ordinary Differential Equations (ODE), verify phenomenon of voltage collapse, and study the ef...
ACEEE International Journal on Electrical and Power Engineering, Vol. 1, No. 1, Jan 2010 2010 ACEEE
Paris-Sud XI, UniversitĆ© de
ACEEE DOI: 01.ijepe.01.01.03 Security Constrained UCP with Operational and Power Flow Constraints S An algorithm to solve security constrained unit commitment problem (UCP) with both operational and power flow model repeated optimal power flow for the satisfactory unit combinations for every line removal under
AVTA: Vehicle to Grid Power Flow Regulations and Building Codes Review
Broader source: Energy.gov [DOE]
The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The following report is a review of Vehicle-to-Grid power flow regulations and building codes, as informed by the AVTA's testing on plug-in electric vehicle charging equipment. This research was conducted by Idaho National Laboratory.
Marinca, Vasile
2015-01-01T23:59:59.000Z
In this paper, Optimal Homotopy Perturbation Method (OHPM) is employed to determine an analytic approximate solutions for nonlinear MHD Jeffery-Hamel flow and heat transfer problem. The Navier-Stokes equations, taking into account Maxwell's electromagnetism and heat transfer lead to two nonlinear ordinary differential equations. The obtained results by means of OHPM show a very good agreement in comparison with the numerical results and with Homotopy Perturbation Method (HPM).
Zhang, Junshan
2009-10 Electrical Engineering BSE/EPES 4-year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical (N), 498 (N) Elec EEE 333 [prereq EEE101,120] ........... Power, 498 (N) Solar Energy Note: Prereq
Zhang, Junshan
2008-09 Electrical Engineering BSE/EPES 4-year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical (N), 498 (N) Elec EEE 333 [prereq EEE101,120] ........... Power, 498 (N) Solar Energy Note: Prereq
A. Vaudrey; P. Baucour; F. Lanzetta; R. Glises
2010-08-30T23:59:59.000Z
Producing useful electrical work in consuming chemical energy, the fuel cell have to reject heat to its surrounding. However, as it occurs for any other type of engine, this thermal energy cannot be exchanged in an isothermal way in finite time through finite areas. As it was already done for various types of systems, we study the fuel cell within the finite time thermodynamics framework and define an endoreversible fuel cell. Considering different types of heat transfer laws, we obtain an optimal value of the operating temperature, corresponding to a maximum produced power. This analysis is a first step of a thermodynamical approach of design of thermal management devices, taking into account performances of the whole system.
Vaudrey, A; Lanzetta, F; Glises, R
2009-01-01T23:59:59.000Z
Producing useful electrical work in consuming chemical energy, the fuel cell have to reject heat to its surrounding. However, as it occurs for any other type of engine, this thermal energy cannot be exchanged in an isothermal way in finite time through finite areas. As it was already done for various types of systems, we study the fuel cell within the finite time thermodynamics framework and define an endoreversible fuel cell. Considering different types of heat transfer laws, we obtain an optimal value of the operating temperature, corresponding to a maximum produced power. This analysis is a first step of a thermodynamical approach of design of thermal management devices, taking into account performances of the whole system.
Tesfatsion, Leigh
1 Abstract-- Although Locational Marginal Pricing (LMP) plays an important role in many Terms-- Locational marginal pricing, wholesale power market, AC optimal power flow, DC optimal power congestion by means of Locational Marginal Pricing (LMP), i.e., the pricing of power by the location
Real-Time Combined Heat and Power Operational Strategy Using a Hierarchical Optimization Algorithm
Yun, Kyung Tae; Cho, Heejin; Luck, Rogelio; Mago, Pedro J.
2011-06-01T23:59:59.000Z
Existing attempts to optimize the operation of Combined Heat and Power (CHP) systems for building applications have two major limitations: the electrical and thermal loads are obtained from historical weather profiles; and the CHP system models ignore transient responses by using constant equipment efficiencies. This paper considers the transient response of a building combined with a hierarchical CHP optimal control algorithm to obtain a real-time integrated system that uses the most recent weather and electric load information. This is accomplished by running concurrent simulations of two transient building models. The first transient building model uses current as well as forecast input information to obtain short term predictions of the thermal and electric building loads. The predictions are then used by an optimization algorithm, i.e., a hierarchical controller, that decides the amount of fuel and of electrical energy to be allocated at the current time step. In a simulation, the actual physical building is not available and, hence, to simulate a real-time environment, a second, building model with similar but not identical input loads are used to represent the actual building. A state-variable feedback loop is completed at the beginning of each time step by copying, i.e., measuring, the state variable from the actual building and restarting the predictive model using these ?measured? values as initial conditions. The simulation environment presented in this paper features nonlinear effects such as the dependence of the heat exchanger effectiveness on their operating conditions. The results indicate that the CHP engine operation dictated by the proposed hierarchical controller with uncertain weather conditions have the potential to yield significant savings when compared to conventional systems using current values of electricity and fuel prices.
Joint Optimization of Idle and Cooling Power in Data Centers While Maintaining Response Time
Vijaykumar, T. N.
power, where the total electric power = server power + cooling power + power distribution losses. Mod). Previous server- power proposals exploit this under-utilization to reduce the server idle power by keeping service providers, data centers reduce the total cost for the service providers. However, electric power
1 INTRODUCTION We consider the optimization problem of distrib-
Paris-Sud XI, Université de
of uncertain- ties are incorporated by a Monte Carlo simulation and Optimal Power Flow (MCS-OPF) model within of renewable generators DG into an electrical power distribution network. Reliability of power supply and allocation. This is a relevant problem in modern power grid design and extension planning. The objective
Optimal Synthesis of a Pulverized Coal Power Plant with Carbon Capture
Prakash R. Kotecha; Juan M. Salazar; Stephen Zitney
2009-01-01T23:59:59.000Z
Coal constitutes an important source of fuel for the production of power in the United States. For instance, in January 2009, pulverized coal (PC) power plants alone contributed to over 45 percent of the Nation's total electric power production. However, PC power plants also contribute to increased emissions of greenhouse gases principally carbon-dioxide (CO2). Recently, various carbon capture strategies have been under active investigation so as to make these plants compete with the more environmental friendly renewable energy sources. One such technology that has received considerable success is the capture of CO2 by an amine-based solvent extraction process. However, an aqueous absorption/stripping technology when used in a PC power plant can reduce the net power output of the plant by as much as 20-40%. The energy penalty comes from heating up the solvent in the regenerator, balancing the enthalpy of reaction, and water stripping. This energy penalty poses considerable limitations on commercial viability of the solvent extraction process and, as a result, various energy-saving modifications have been proposed in the literature ranging from the use of hybrid solvents to novel stripper configurations. In this paper, we show that the energy penalty can be further reduced by heat integration of various PC plant components with the carbon capture system. In addition to the release of greenhouse gases to the environment, PC plants also consume a large amount of freshwater. It is estimated that subcritical and supercritical PC plants have water losses of 714 gal/MWh and 639 gal/MWh, respectively. Water loss is based on an overall balance of the plant source and exit streams. This includes coal moisture, air humidity, process makeup, cooling tower makeup (equivalent to evaporation plus blowdown), process losses (including losses through reactions, solids entrainment, and process makeup/blowdown) and flue gas losses. The primary source of water used in PC power plants is the closed-loop steam-based (Rankine) power cycles. These plants need to condense large quantities of low-pressure steam back to water so that it can be reused to produce high pressure steam. However, this requires the removal of large quantities of heat from the low pressure steam in the condensation process. This is usually done by transferring the heat to cooling water, which in turn transfers this heat to the environment by evaporation to the atmosphere. Also, the inclusion of a carbon capture process can increase the raw water usage by as much as 95 percent. In this work, we use heat exchanger network synthesis followed by an optimization approach to process synthesis for developing strategies for reducing water use in a supercritical PC power plant with a carbon capture and compression system. Uncertainties associated with dry bulb temperature, relative humidity, and demand will also be considered in this analysis.
Optimizing control flow in loops using interval and dependence analysis
Ghodrat, Mohammad Ali; Givargis, Tony; Nicolau, Alex
2009-01-01T23:59:59.000Z
graphics mpgdec-initdec mpgenc-vh?lter mp3-psych mp3-align mpgenc-idct mpgdec-vh?lter Optimizing control ?graphics mpgdec-initdec mpgenc-vh?lter mp3-psych mp3-align mpgenc-idct mpgdec-vh?lter Optimizing control ?graphics mpgdec-initdec mpgenc-vh?lter mp3-psych mp3-align mpgenc-idct mpgdec-vh?lter Optimizing control ?
A thermodynamic hypothesis regarding optimality principles for flow processes in geosystems
Liu, Hui-Hai
2015-01-01T23:59:59.000Z
a review of the maximum entropy production principle. RevSeleznev VD (2006) Maximum entropy pro- duction principle inexpenditure rate Maximum entropy production Optimality
Bullo, Francesco
], where an approximate solution to the reactive power flow equations was developed for electrical networksOn Reactive Power Flow and Voltage Stability in Microgrids Basilio Gentile, John W. Simpson-Porco, Florian DĀØorfler, Sandro Zampieri, and Francesco Bullo Abstract-- This paper focuses on reactive power
OpenPEOPLE D2.8 Ergonomic Page 1/37 Open Power and Energy Optimization Platform and Estimator
Paris-Sud XI, Université de
OpenPEOPLE D2.8 Ergonomic Page 1/37 OpenPEOPLE Open Power and Energy Optimization Platform and Estimator Internal Deliverable 2.8 Ergonomics Document Manager Contributors Checked by Name Jonathan PONROY ergonomic for the OpenPEOPLE software platform. inria-00624000,version1-16Sep2011 #12;OpenPEOPLE D2
Optimal Risk-aware Power Procurement for Data Centers in Day-Ahead and Real-Time Electricity Markets
Mohsenian-Rad, Hamed
Optimal Risk-aware Power Procurement for Data Centers in Day-Ahead and Real-Time Electricity Markets Mahdi Ghamkhari, Hamed Mohsenian-Rad, and Adam Wierman Department of Electrical Engineering, University of California, Riverside, CA, USA Department of Computing and Mathematical Sciences, California
Cańizares, Claudio A.
on initial investment [years] Investment period [years] Plant useful life [years] Solar PV module area [m2 generation capacity accounts for 525 MW [2]. The current world's largest solar PV power plant in large-scale solar photovoltaic (PV) generation projects are proposed and discussed. The optimal set
Nehorai, Arye
the average cost of power supply. Time-of-use (TOU) pricing has been proposed as a demand-side management (DSM for Optimal Time-of-Use Electricity Pricing Peng Yang, Student Member, IEEE, Gongguo Tang, Member, IEEE, and Arye Nehorai, Fellow, IEEE Abstract--Demand for electricity varies throughout the day, increasing
Stefanopoulou, Anna
Dynamics, Optimization and Control of a Fuel Cell Based Combined Heat Power (CHP) System, a natural gas fuel processor system (FPS), a proton exchange membrane fuel cell (PEM-FC) and a catalytic) systems based on fuel cells and fuel processing technologies have great potential for future shipboard
Nonlinear power flow feedback control for improved stability and performance of airfoil sections
Wilson, David G.; Robinett, III, Rush D.
2013-09-03T23:59:59.000Z
A computer-implemented method of determining the pitch stability of an airfoil system, comprising using a computer to numerically integrate a differential equation of motion that includes terms describing PID controller action. In one model, the differential equation characterizes the time-dependent response of the airfoil's pitch angle, .alpha.. The computer model calculates limit-cycles of the model, which represent the stability boundaries of the airfoil system. Once the stability boundary is known, feedback control can be implemented, by using, for example, a PID controller to control a feedback actuator. The method allows the PID controller gain constants, K.sub.I, K.sub.p, and K.sub.d, to be optimized. This permits operation closer to the stability boundaries, while preventing the physical apparatus from unintentionally crossing the stability boundaries. Operating closer to the stability boundaries permits greater power efficiencies to be extracted from the airfoil system.
An Improved Lagrangian Relaxation Method for VLSI Combinational Circuit Optimization
Huang, Yi-Le
2012-02-14T23:59:59.000Z
Gate sizing and threshold voltage (Vt) assignment are very popular and useful techniques in current very large scale integration (VLSI) design flow for timing and power optimization. Lagrangian relaxation (LR) is a common method for handling multi...
An Improved Lagrangian Relaxation Method for VLSI Combinational Circuit Optimization
Huang, Yi-Le
2012-02-14T23:59:59.000Z
Gate sizing and threshold voltage (Vt) assignment are very popular and useful techniques in current very large scale integration (VLSI) design flow for timing and power optimization. Lagrangian relaxation (LR) is a common ...
Ice Shelves as Floating Channel Flows of Viscous Power-Law Fluids
Banik, Indranil
2013-01-01T23:59:59.000Z
We attempt to better understand the flow of marine ice sheets. Treating ice as a viscous shear-thinning power law fluid, we develop an asymptotic (late-time) theory in two cases - the presence or absence of contact with sidewalls. Most real-world situations fall somewhere between the two extreme cases considered. When sidewalls are absent, we obtain the equilibrium grounding line thickness using a simple computer model and have an analytic approximation. For shelves in contact with sidewalls, we obtain an asymptotic theory, valid for long shelves. Our theory is based on the velocity profile across the channel being a generalised version of Poiseuille flow, which works when lateral shear dominates the force balance. We determine when this is. We conducted experiments using a laboratory model for ice. This was a suspension of xanthan in water, at a concentration of 0.5% by mass. The lab model has $n \\approx 3.8$ (similar to that of ice). The experiments agreed extremely well with our theories for all relevant p...
Ulbrich, Michael
control problems that are governed by multiphase multicomponent flow in porous media. The concrete in porous media. The objective is, e.g., to maximize the amount of trapped CO2 in an underground reservoir/FV methods for multiphase multicomponent flows in porous media we refer to [11] and references therein
Polzin, Kurt A.; Godfroy, Thomas J. [NASA Marshall Space Flight Center Propulsion Research and Technology Applications Branch/ER24, MSFC, AL 35812 (United States)
2008-01-21T23:59:59.000Z
A test loop using NaK as the working fluid is presently in use to study material compatibility effects on various components that comprise a possible nuclear reactor design for use on the lunar surface. A DC electromagnetic (EM) pump has been designed and implemented as a means of actively controlling the NaK flow rate through the system and an EM flow sensor is employed to monitor the developed flow rate. These components allow for the matching of the flow rate conditions in test loops with those that would be found in a full-scale surface-power reactor. The design and operating characteristics of the EM pump and flow sensor are presented. In the EM pump, current is applied to a set of electrodes to produce a Lorentz body force in the fluid. A measurement of the induced voltage (back-EMF) in the flow sensor provides the means of monitoring flow rate. Both components are compact, employing high magnetic field strength neodymium magnets thermally coupled to a water-cooled housing. A vacuum gap limits the heat transferred from the high temperature NaK tube to the magnets and a magnetically-permeable material completes the magnetic circuit. The pump is designed to produce a pressure rise of 34.5 kPa, and the flow sensor's predicted output is roughly 20 mV at the loop's nominal flow rate of 0.114 m{sup 3}/hr.
On-chip interconnection architecture optimization using a multicommodity flow approach
Hu, Yuanfang
2007-01-01T23:59:59.000Z
to re- duce its energy and switch area-e?ciency. Theectively reduce energy and switch area usage of FPGA routingectively optimize the energy and switch area of FPGA routing
Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets
Tesfatsion, Leigh
Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets Haifeng Liu restructured wholesale power markets, the detailed derivation of LMPs as actually used in industry practice Operator (MISO). Keywords: Locational marginal pricing, wholesale power market, AC optimal power flow, DC
CHANCE CONSTRAINED OPTIMAL POWER FLOW: RISK-AWARE NETWORK CONTROL UNDER UNCERTAINTY
Bienstock, Daniel
resulting in automatic line tripping to protect lines from thermal stress, a risky and undesirable outcome control sophistication and careful long-term planning. Nevertheless, the grid is under growing stress in the grid are largely of an engineering nature (i.e. the flywheel-directed generator response used to handle
Optimum Capacity Allocation of DG Units Based on Unbalanced Three-phase Optimal Power Flow
Pota, Himanshu Roy
. Index Terms--Planning for Smart Grid , Unbalanced TOPF, Swarm Intelligence, DG Capacity Allocation, Smart Grid Co- simulation Platform. I. INTRODUCTION The growth of energy demand is increasing rapidly distribution system planning is necessary. Adnan Anwar and H. R. Pota are with the School of Engineering
CHANCE CONSTRAINED OPTIMAL POWER FLOW: RISK-AWARE NETWORK CONTROL UNDER UNCERTAINTY
Bienstock, Daniel
which compromises stability. Smart grid goals include a commitment to large penetration of highly and careful long-term planning, with only very rare disruptions. However, the grid is under growing stress generation (coal, gas and hy- dro plants) over control areas of transmission networks, can result in grid
Optimal Power Flow of Multiple Energy Carriers(Geidl and Andersson 2007) |
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 |JilinLuOpenNorthOlympia GreenThe community Energy
Van Zee, John W.
2006-01-01T23:59:59.000Z
Journal of Power Sources xxx (2006) xxxxxx The impact of channel path length on PEMFC flow of channels. These results may be used to develop universal heuristics and dimensionless number correlations under the ribs in a PEMFC using a single phase non-isothermal PEMFC model in the finite ele- ment code
Zhang, Junshan
2007-2008 Electrical Engineering BSE/EPES 4-year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical Energy Note: Prereq for Computer Engineering: EEE203 Computer Engineering EEE404 (S), CSE420 (F, S
An Energy-Flow Model for Self-Powered Routers and its Application for Energy-Aware Routing
Belding-Royer, Elizabeth M.
and solar. Unfortunately, renewable energy sources are inherently intermit- tent; therefore networks relyingAn Energy-Flow Model for Self-Powered Routers and its Application for Energy-Aware Routing Veljko of California Santa Barbara ebelding@cs.ucsb.edu Mahesh K. Marina The University of Edinburgh, UK mmarina@inf.ed.ac.uk
Circuit and System Level Design Optimization for Power Delivery And Management
Xu, Tong
2014-12-08T23:59:59.000Z
that are widely utilized in modern chip designs. Various design challenges merge with these power management techniques in nanometer VLSI circuits. For example, power gating introduces unique power integrity issues and trade-offs between switching noise and rush...
Power dissipation and time-averaged pressure in oscillating flow through a sudden area change
Smith, Barton L.
effects including boundary layer turbu- lence and random motions in separated flows. These losses fixed while varying the third. Evidence is presented that the losses due to oscillatory flow for steady flow are available, few such data exist for oscillatory flow in any geometry, despite the fact
Optimization of Electrical Production The production of electricity in France is optimized everyday
French Model · n [ 200] existing power units thermal nuclear fuel+coal 80% 3% hydro-valleys 17Optimization of Electrical Production The production of electricity in France is optimized everyday values: 0, pmin, pinter, pmax) = amenable to dynamic programming Hydro-Valleys · Control variable = flow
Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /
Ghaffari, Azad
2013-01-01T23:59:59.000Z
solar irradiance, and wind speed. Maximum Power Point Tracking (Tracking Since PV and WECS power level are defined by the environmental param- eters like solar
M. G. McKellar; J. E. O'Brien; E. A. Harvego; J. S. Herring
2007-11-01T23:59:59.000Z
This report presents results from the development and optimization of a reference commercialscale high-temperature electrolysis (HTE) plant for hydrogen production. The reference plant design is driven by a high-temperature helium-cooled reactor coupled to a direct Brayton power cycle. The reference design reactor power is 600 MWt, with a primary system pressure of 7.0 MPa, and reactor inlet and outlet fluid temperatures of 540° C and 900°C, respectively. The electrolysis unit used to produce hydrogen consists of 4.176 × 10 6 cells with a per-cell active area of 225 cm2. A nominal cell area-specific resistance, ASR, value of 0.4 Ohmcm2 with a current density of 0.25 A/cm2 was used, and isothermal boundary conditions were assumed. The optimized design for the reference hydrogen production plant operates at a system pressure of 5.0 MPa, and utilizes an air-sweep system to remove the excess oxygen that is evolved on the anode side of the electrolyzer. The inlet air for the air-sweep system is compressed to the system operating pressure of 5.0 MPa in a four-stage compressor with intercooling. The overall system thermal-to-hydrogen production efficiency (based on the low heating value of the produced hydrogen) is 49.07% at a hydrogen production rate of 2.45 kg/s with the high-temperature helium-cooled reactor concept. The information presented in this report is intended to establish an optimized design for the reference nuclear-driven HTE hydrogen production plant so that parameters can be compared with other hydrogen production methods and power cycles to evaluate relative performance characteristics and plant economics.
Using the NOABL flow model and mathematical optimization as a micrositing tool
Wegley, H.L.; Barnard, J.C.
1986-11-01T23:59:59.000Z
This report describes the use of an improved mass-consistent model that is intended for diagnosing wind fields in complex terrain. The model was developed by merging an existing mass-consistent model, the NOABL model, with an optimization procedure. The optimization allows objective calculation of important model input parameters that previously had been supplied through guesswork; in this manner, the accuracy of the calculated winds has been greatly increased. The report covers such topics as the software structure of the model, assembling an input file, processing the model's output, and certain cautions about the model's operation. The use of the model is illustrated by a test case.
McCalley, James D.
Summary of Papers 1. P. Sauer and M. Pai, "Power System SteadyState Stability and the Load Flow, "The Continuation Power Flow: A Tool for SteadyState Voltage Stability Analysis," IEEE Transactions of the system to maintain adequate and controllable voltage levels at all system load buses. The main concern
Recent developments in model-based optimization and control of subsurface flow
Van den Hof, Paul
; identifiability; model reduction. 1. INTRODUCTION The production of oil and gas from petroleum reservoirs the pores of subsurface rock lay- ers. The production life of a petroleum reservoir generally lasts a number configurations and production strategies, but an emerging use is in the 'real-time' optimization and control
Approximating an Optimal Production Policy in a Continuous Flow Line: Recurrence and Asymptotic
Vįzquez-Abad, Felisa J.
, production planning and schedul ing, producetostock, buffer size, buffer control, JIT systemsprone tandem machines. The production is regulated by a continuous version of buffer control. Our goal that for each feasible machine state, the optimal production control policy is to move the inventory levels
Qin, Wensheng
of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, Iran d Imperial Oil Limited, Supply additive, and the process was optimized in this study using response surface methodology. A model biodiesel process [1,2]. Hence a huge amount of glycerol is expected on the market in near future. Due
Improving electricity production in tubular microbial fuel cells through optimizing the anolyte h l i g h t s " The spiral spacers improve electricity production in tubular microbial fuel cells fuel cells Spiral spacers Energy Wastewater treatment a b s t r a c t The use of spiral spacers
Performance Optimization of a Photovoltaic Generator with an Active Power Filter Application
Paris-Sud XI, UniversitĆ© de
with their benefits are not yet implemented for the PV application. Power output of a solar PV module changes to an electrical system here we use the active power filter. To maximize the PV panel output power, perturb and variation of the DC bus due to losses in the active power filter (transistors and the output filter
Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /
Ghaffari, Azad
2013-01-01T23:59:59.000Z
77 5.2 Wind Energy Conversion System . . . . .Optimization and Control in Wind Energy Conversion SystemsAC matrix con- verter for wind energy conversion system, in
Low, Steven H.
with wind generators that are supplemented by fast-ramping conventional back-up generators. This OPF
Kolb, Gregory J. (Albuquerque, NM)
2012-02-07T23:59:59.000Z
A suction-recirculation device for stabilizing the flow of a curtain of blackened heat absorption particles falling inside of a solar receiver with an open aperture. The curtain of particles absorbs the concentrated heat from a solar mirror array reflected up to the receiver on a solar power tower. External winds entering the receiver at an oblique angle can destabilize the particle curtain and eject particles. A fan and ductwork is located behind the back wall of the receiver and sucks air out through an array of small holes in the back wall. Any entrained particles are separated out by a conventional cyclone device. Then, the air is recirculated back to the top of the receiver by injecting the recycled air through an array of small holes in the receiver's ceiling and upper aperture front wall. Since internal air is recirculated, heat losses are minimized and high receiver efficiency is maintained. Suction-recirculation velocities in the range of 1-5 m/s are sufficient to stabilize the particle curtain against external wind speeds in excess of 10 m/s.
The optimization problem Genetic Algorithm
GimĆ©nez, Domingo
The optimization problem Genetic Algorithm Particle Swarm Optimization Experimental results for time-power optimization META, October 27-31, 2014 1 / 25 #12;The optimization problem Genetic Algorithm Particle Swarm Optimization Experimental results Conclusions Time and energy optimization Traditionally
Optimization of Cricket-inspired, Biomimetic Artificial Hair Sensors for Flow Sensing
Izadi, N; Floris, J; Krijnen, G
2008-01-01T23:59:59.000Z
High density arrays of artificial hair sensors, biomimicking the extremely sensitive mechanoreceptive filiform hairs found on cerci of crickets have been fabricated successfully. We assess the sensitivity of these artificial sensors and present a scheme for further optimization addressing the deteriorating effects of stress in the structures. We show that, by removing a portion of chromium electrodes close to the torsional beams, the upward lift at the edges of the membrane due to the stress, will decrease hence increase the sensitivity.
Combinational logic optimization for low power using implication-based transformations
Swarna, Madhukiran V.
1997-01-01T23:59:59.000Z
The demand for portable equipment has increased the emphasis on low-power designs. Higher power consumption results in shorter battery-lifetime of portable electronic devices. As a result larger batteries are required for ...
OPTIMIZATION OF THE PARAMETERS OF A STORAGE RING FOR A HIGH POWER XUV FREE ELECTRON LASER
Jackson, A.
2010-01-01T23:59:59.000Z
A.M. Sessler. 'free Electron Laser . LBL -l 8905 (JanuaryFOR A HIGH POWER XUV FREE ELECTRON LASER. A. Jackson, J.for a High Power XUV Free Electron Laser," (LBL'19771, June,
Highly optimized tolerance and power laws dense and sparse resource regimes J. Carlson,
Carlson, Jean
resource regime. agrees well data wildfires, web sizes, electric power outages. However, another HOT model Control Dynamical Systems Electrical Engineering, California Institute Technology, Pasadena, California investigated in context variety specific applications, including Internet #8,9#, electric power #10#, wildfires
Power-Optimal Scheduling for a Green Base Station with Delay Constraints
Sharma, Vinod
by renewable energy sources, e.g. solar/wind energy and may also be connected to the power grid or diesel model for packet-switched networks. The power function is a non-decreasing convex function of the queue present a model of the total BS power consumption. In Section III, we discuss the system model
Noble, Pascal
2012-01-01T23:59:59.000Z
In this paper we derive consistent shallow water equations for thin films of power law fluids down an incline. These models account for the streamwise diffusion of momentum which is important to describe accurately the full dynamic of the thin film flows when instabilities like roll-waves arise. These models are validated through a comparison with Orr Sommerfeld equations for large scale perturbations. We only consider laminar flow for which the boundary layer issued from the interaction of the flow with the bottom surface has an influence all over the transverse direction to the flow. In this case the concept itself of thin film and its relation with long wave asymptotic leads naturally to flow conditions around a uniform free surface Poiseuille flow. The apparent viscosity diverges at the free surface which, in turn, introduces a singularity in the formulation of the Orr-Sommerfeld equations and in the derivation of shallow water models. We remove this singularity by introducing a weaker formulation of Cauc...
Nygard, Kendall E.
Institute of Technology (AFIT/ENG) Wright-Patterson AFB, OH 45433 Abstract A weapon system consisting control. I. Introduction Autonomous wide area search weapon systems are small powered munitions, each cooperatively to more efficiently and effectively carry out search, target classification, attack, and battle
Optimal relay location and power allocation for low SNR broadcast relay channels
Thakur, Mohit
We consider the broadcast relay channel (BRC), where a single source transmits to multiple destinations with the help of a relay, in the limit of a large bandwidth. We address the problem of optimal relay positioning and ...
Design and optimization of high-performance low-power CMOS VLSI interconnects
Zhang, Yulei
2011-01-01T23:59:59.000Z
Optimization Using Tritonic Step Response. In Proc. IEEE/ACMe?ciently based on step-response of T-line. The algorithm ?as the superposition of step responses y(t) = N s r (t ? k i
Zebian, Hussam
2014-01-01T23:59:59.000Z
Efficient and clean electricity generation is a major challenge for today's world. Multivariable optimization is shown to be essential in unveiling the true potential and the high efficiency of pressurized oxy-coal combustion ...
Peng, Huei
Management and Design Optimization of Fuel Cell/Battery Hybrid Vehicles #12;Journal of Power Sources, Vol.165 strategy is as significant as component sizing in achieving optimal fuel economy of a fuel cell hybrid management strategy and component sizing affect vehicle performance and fuel economy considerably in hybrid
acoustic-to-structure power flow: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Summary: important for distribution networks due to the advent of distributed generation (e.g., rooftop photovoltaic flow laws can be approximated by linear equations known...
A Global Optimization Approach to the Design of Solar Power Plants
2014-05-08T23:59:59.000Z
May 8, 2014 ... Keywords: solar thermal power, heliostat field layout, thermo- ... at a high temperature is then transferred to the heat transfer fluid to produce.
Rogelio, Garcia Retegui; Gustavo, Uicich; Mario, Benedetti; Gilles, Le Godec; Konstantinos, Papastergiou
2015-01-01T23:59:59.000Z
In the framework of a Transfer line (TT2) Consolidation Programme, a number of studies on Energy cycling have been commissioned. Part of this work involves the study of dierent power electronic system topologies for magnet energy recovery. In this report, the use of a boost front-end converter supplying DC link of a 4-quadrant magnet supply is analysed. The key objective of the study is to find control strategies that result in the control of the peak power required from the power network as well as to recover the magnet energy into capacitor banks with controlled voltage fluctuation. The study comprises the modelling of the system by means of the method of state averaging and the development of regulation strategies to energy management. The proposed control strategies can be divided in two groups: in the first group, the magnet current is used to define the reference for the control system, while in the second group this current is unknown and some strategies are devised to limit the power drawn from the el...
Application of Flow Battery in Marine Current Turbine System for Daily Power Management
Brest, Université de
) generation system highly attractive as an electricity supply source for coastal areas and remote islands large mismatch between MCT produced power and grid-side (or load-side) demanded power. This paper as a backup power supply source in case of low battery state of charge (SoC) caused by losses during long
Suction recirculation and its effects upon axial-flow pump power consumption
Prince, Tony M.
1983-01-01T23:59:59.000Z
strainer containing a metal screen cartridge is installed and acts as a water filter. Two gate valves are placed at the suction and the discharge and are used to throttle the flow. Two tubular flow straighteners, made of 1/2 inch diameter copper tubings...
Journal of Power Sources 142 (2005) 117124 Pressure drop behavior in the anode flow field of
Zhao, Tianshou
2005-01-01T23:59:59.000Z
-house fabricated direct methanol fuel cell (DMFC). The anode flow field consisted of a single serpentine flow PEM fuel cells, a liquid feed direct methanol fuel cell (DMFC), using a solid polymer membrane for portable electronic devices, electric vehicles, and other mobile and stationery ap- plications. Driven
Ferreira, MĆ”rcia M. C.
EXPERT TOOLS FOR QSAR ANALYSIS AND LEAD OPTIMIZATION The basic tools needed to build powerful in SYBYL's QSAR module. These include molecular field generation tools, least-squares (PLS, PCA and SIMCA) and non-linear (hierarchical clustering) analysis tools. The most powerful of these techniques can
S-MAPEL: Monotonic Optimization for Non-convex Joint Power Control and Scheduling Problems
Huang, Jianwei
generation wireless networks. Transmission power control in wireless networks has been extensively studied-limited wireless networks where si- multaneous transmissions on nearby links heavily interfere with each other of concurrently active links as well as the flexibility to vary power allocation over time gives rise to a series
Pebble Bed Reactor system (MPBR) requires a gas turbine cycle (Brayton cycle) as the power conversion for the gas turbine cycle. The development of an initial reference design for an indirect helium cycle has for the system. Load transients simulations show that the indirect, three-shaft arrangement gas turbine power
Optimal Multi-scale Capacity Planning for Power-Intensive Continuous Processes under
Grossmann, Ignacio E.
-time basis. A set of measures, such as co-generation, micro-grids, future storage technologies and demand States. At the same time, the power grid is in transition to the so-called smart grid with the ambition- side management (DSM), is expected to play an important role in helping today's power grid, mastering
Highly optimized tolerance and power laws in dense and sparse resource regimes M. Manning,1
Carlson, Jean
with data for wildfires, web file sizes, and electric power outages. However, another HOT model, based, USA 2 Department of Control and Dynamical Systems and Electrical Engineering, California Institute in the context of a variety of specific applications, including the Internet 8,9 , the electric power grid 10
He, Zhihai "Henry"
-Rate-Distortion Optimization Zhihai He, Wenye Cheng, and Xi Chen £ Department of Electrical and Computer Engineering University framework to save the data processing energy and extend the operational lifetime of portable video communication devices. Video compression is computationally intensive and energy-consuming. However, portable
Computation of the maximum loadability of a power system using nonlinear optimization
Khabirov, Abdufarrukh
2001-01-01T23:59:59.000Z
the loading of system for different voltage limits. . 15 4 2-bus power system diagram. . 16 5 PV curve showing loadability margin. . 17 6 One-line diagram of three bus power system. . 36 7 One-line diagram for 5-bus power system. g One-line diagram for 9... given in Figure 4 by varying the Po at bus 2 from 0 to 1. 2, assuming the following system parameters: where X = 0. 26 pu R=O P = 0. 12 The results are given in the Table l. From this table one can see how the real load at the bus 2 changes as a...
Feasibility Study of a Multi-Purpose Computer Program for Optimizing Heat Rates in Power Cycles
Menuchin, Y.; Singh, K. P.; Hirota, N.
1981-01-01T23:59:59.000Z
A study of currently available commercial codes which evaluate the thermal performance of turbine cycles in power plants is presented. The analytical basis, capabilities, and possible applications of these codes are described. A survey of some user...
Wang, Chunyun, 1968-
2003-01-01T23:59:59.000Z
The Modular Pebble Bed Reactor system (MPBR) requires a gas turbine cycle (Brayton cycle) as the power conversion system for it to achieve economic competitiveness as a GenIV nuclear system. The availability of controllable ...
Naval ship propulsion and electric power systems selection for optimal fuel consumption
Sarris, Emmanouil
2011-01-01T23:59:59.000Z
Although propulsion and electric power systems selection is an important part of naval ship design, respective decisions often have to be made without detailed ship knowledge (resistance, propulsors, etc.). Propulsion and ...
Development of optimized core design and analysis methods for high power density BWRs
Shirvan, Koroush
2013-01-01T23:59:59.000Z
Increasing the economic competitiveness of nuclear energy is vital to its future. Improving the economics of BWRs is the main goal of this work, focusing on designing cores with higher power density, to reduce the BWR ...
Gallant, Betar M. (Betar Maurkah)
2008-01-01T23:59:59.000Z
Compressive stress applied to the electrode area of a Proton Exchange Membrane (PEM) fuel cell is known to significantly affect power output. In practice, electrode stress arises during operation due to the clamping force ...
A method to determine the optimal features for control of a powered lower-limb prostheses
Farrell, Matthew T.
Lower-limb prostheses are rapidly advancing with greater computing power and sensing modalities. This paper is an attempt to begin exploring the trade-off between extrinsic and intrinsic control modalities. In this case, ...
A Geometrical Approach for Power Optimization in Relay-Based Cellular
Coupechoux, Marceau
,2 , Maode Ma1 , Marceau Coupechoux2 , and Philippe Godlewski2 1 Nanyang Technological University, Nanyang.edu.sg (Maode Ma); coupecho@enst.fr (Marceau Coupechoux); godlewsk@enst.fr (Philippe Godlewski) power allocation
Thermal desalination : structural optimization and integration in clean power and water
Zak, Gina Marie
2012-01-01T23:59:59.000Z
A large number of resources are dedicated to seawater desalination and will only grow as world-wide water scarcity increases. In arid areas with high temperature and salinity seawater, thermal desalination and power plants ...
Cleaning process development and optimization in the surface mount assembly line of power modules
Mukherjee, Ishan
2011-01-01T23:59:59.000Z
The cleaning process in the surface mount assembly line of power modules had been found to insufficiently remove solder flux residue from printed circuit board (PCB) assemblies after the process of reflow soldering. This ...
IEEE TRANSACTIONS ON POWER SYSTEMS (ACCEPTED) 1 Sparse Overcomplete Representations for
Giannakis, Georgios
Identification of Power Line Outages Hao Zhu, Student Member, IEEE, and Georgios B. Giannakis, Fellow, IEEE Abstract--Fast and accurate unveiling of power line outages is of paramount importance not only estimation, optimal power flow, real-time contingency analysis, and thus security assessment of power systems
Optimal Power System and Grid Interface Design Considerations for the CLICs Klystron Modulators
Marija, Jankovic; Jon, Clare; Pat, Wheeler; Davide, Aguglia
2015-01-01T23:59:59.000Z
The Compact Linear Collider (CLIC) is an electron-positron collider under study at CERN with the aim to explore the next generation of high precision/high energy particles physics. The CLICs drive beams will be accelerated by approximately 1300 klystrons, requiring highly efficient and controllable solid state capacitor discharge modulators. Capacitor charger specifications include the requirement to mask the pulsed effect of the load from the utility grid, ensure maximum power quality, control the derived DC voltage precisely (to maximize accuracy for the modulators being implemented), and achieve high efficiency and operability of the overall power system. This paper presents the work carried out on the power system interface for the CLIC facility. In particular it discusses the challenges on the utility interface and analysis of the grid interface converters with regards to required functionality, efficiency, and control methodologies.
Perkins, Roy
2013-06-21T23:59:59.000Z
Fast-wave heating and current drive efficiencies can be reduced by a number of processes in the vicinity of the antenna and in the scrape off layer (SOL). On NSTX from around 25% to more than 60% of the high-harmonic fast-wave power can be lost to the SOL regions, and a large part of this lost power flows along SOL magnetic field lines and is deposited in bright spirals on the divertor floor and ceiling. We show that field-line mapping matches the location of heat deposition on the lower divertor, albeit with a portion of the heat outside of the predictions. The field-line mapping can then be used to partially reconstruct the profile of lost fast-wave power at the midplane in front of the antenna, and the losses peak close to the last closed flux surface (LCFS) as well as the antenna. This profile suggests a radial standing-wave pattern formed by fast-wave propagation in the SOL, and this hypothesis will be tested on NSTX-U. Advanced RF codes must reproduce these results so that such codes can be used to understand this edge loss and to minimize RF heat deposition and erosion in the divertor region on ITER.
Suction recirculation and its effects upon axial-flow pump power consumption
Prince, Tony M.
1983-01-01T23:59:59.000Z
1 Test Procedure Outline 2 Section and Pump Critical Flowrates and Speeds. 63 91 3 Power Coefficient and Reynolds Number Based on Cone Radius. 100 4 Power Coefficient and Reynolds Number Based on Surface Area. 101 5 Power Coefficient... Variation with NPSH with Q rl 54 Head Variation with NPSH with Q 2 . r2 55 Head Variation with NPSH with Q 3. r3' 120 128 129 130 131 134 135 136 CHAPTER I INTRODUCTION Pumps of different types are used to displace liquids from one location...
Analysis and Optimization of Maximum Power Point Tracking Algorithms in the Presence of
Odam, Kofi
, Charles R. Sullivan, Senior Member, IEEE Abstract--This paper analyzes the effect of noise on sev- eral maximum power point tracking (MPPT) algorithms for photovoltaic systems. Noise is an essential of the signals, mitigating the noise. The effect of noise and other parameters on tracking performance
Steffenhagan, W.; de Sam Lazaro, A.
The automation of the control to a power plant is indeed a challenge mainly because of the occurrences of random and unpredictable variations in output demands as well as because of highly non-linear behavior of the system itself. It is sometimes...
A Design Methodology for Domain-Optimized Power-Efficient Supercomputing
Wawrzynek, John
the primary concern of all large-scale scientific computing facilities. According to power con- sumption data would require 130 MW. At these levels, the cost of electricity will dwarf the procurement cost-authored by a contractor or affiliate of the [U.S.] Government. As such, the Government retains a nonexclusive, royalty
Dynamic Power Optimization of Interactive Systems Lin Zhong and Niraj K. Jha
Zhong, Lin
and Related Work We first provide energy usage characteristics of an exam- ple interactive software-- Power has become a major concern for mo- bile computing systems such as laptops and handhelds, on which a significant fraction of software usage is interactive instead of computation-intensive. An analysis shows
On the Network Lifetime of Wireless Sensor Networks Under Optimal Power Control
Nasipuri, Asis
significantly reduces energy wastage by utilizing sleep cycles of the radio. In such networks, overhearing causes significant energy losses, especially if the network density is high. Our calculations demonstrate are powered by fixed energy resources such as a battery, and consequently, their utility is limited
Multi-hop wireless charging optimization in Low-Power Networks
Boyer, Edmond
to address the challenging problem of energy consumption in low-power networks. Based on these breakthroughs, none of these works have considered the multihop energy transmission, whose feasibility have been demonstrated recently. In such a system, a node can transmit energy wirelessly to its neighbors. In this paper
Method of optimizing performance of Rankine cycle power plants. [US DOE Patent
Pope, W.L.; Pines, H.S.; Doyle, P.A.; Silvester, L.F.
1980-06-23T23:59:59.000Z
A method is described for efficiently operating a Rankine cycle power plant to maximize fuel utilization efficiency or energy conversion efficiency or minimize costs by selecting a turbine fluid inlet state which is substantially on the area adjacent and including the transposed critical temperature line.
Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /
Ghaffari, Azad
2013-01-01T23:59:59.000Z
both AC drives and wind energy Turbine, shaft, and Gear BoxWind Energy Conversion Systems using Extremum Seeking Wind turbines (wind energy generation can be realized by capturing wind power at altitudes over the ground that cannot be reached by wind turbines.
Event-Triggered Optimal Power Dispatch M.D. Lemmon, University of Notre Dame
Lemmon, Michael
can also be accomplished through small microturbines and gas/diesel generators. Storage devices Microgrids [14] [11] [9] are power generation/distribution systems in which users and gen- erators are in close proximity. This results in relatively low voltage grids (few hundred kVA). Generation is often
Modeling, Design and Optimization of IC Power Delivery with On-Chip Regulation
Lai, Suming
2014-12-11T23:59:59.000Z
. First of all, as the supply voltage keeps scaling down towards the sub-threshold regime to further save chip power consumption, circuit delay will become much more vulnerable to supply noise, which indicates that PDN design will have to face an even more...
Dose reduction and optimization studies (ALARA) at nuclear power facilities. [PWR; BWR
Baum, J.W.; Meinhold, C.B.
1983-01-01T23:59:59.000Z
Brookhaven National Laboratory (BNL) has been commissioned by the Nuclear Regulatory Commission (NRC) to study dose-reduction techniques and effectiveness of as low as reasonably achievable (ALARA) planning at LWR plants. These studies have the following objectives: identify high-dose maintenance tasks; identify dose-reduction techniques; examine incentives for dose reduction; evaluate cost-effectiveness and optimization of dose-reduction techniques; and compile an ALARA handbook on data, engineering modifications, cost-effectiveness calculations, and other information of interest to ALARA practioners.
Edwin A. Harvego; Michael G. McKellar
2011-11-01T23:59:59.000Z
There have been a number of studies involving the use of gases operating in the supercritical mode for power production and process heat applications. Supercritical carbon dioxide (CO2) is particularly attractive because it is capable of achieving relatively high power conversion cycle efficiencies in the temperature range between 550 C and 750 C. Therefore, it has the potential for use with any type of high-temperature nuclear reactor concept, assuming reactor core outlet temperatures of at least 550 C. The particular power cycle investigated in this paper is a supercritical CO2 Recompression Brayton Cycle. The CO2 Recompression Brayton Cycle can be used as either a direct or indirect power conversion cycle, depending on the reactor type and reactor outlet temperature. The advantage of this cycle when compared to the helium Brayton cycle is the lower required operating temperature; 550 C versus 850 C. However, the supercritical CO2 Recompression Brayton Cycle requires an operating pressure in the range of 20 MPa, which is considerably higher than the required helium Brayton cycle operating pressure of 8 MPa. This paper presents results of analyses performed using the UniSim process analyses software to evaluate the performance of both a direct and indirect supercritical CO2 Brayton Recompression cycle for different reactor outlet temperatures. The direct supercritical CO2 cycle transferred heat directly from a 600 MWt reactor to the supercritical CO2 working fluid supplied to the turbine generator at approximately 20 MPa. The indirect supercritical CO2 cycle assumed a helium-cooled Very High Temperature Reactor (VHTR), operating at a primary system pressure of approximately 7.0 MPa, delivered heat through an intermediate heat exchanger to the secondary indirect supercritical CO2 Brayton Recompression cycle, again operating at a pressure of about 20 MPa. For both the direct and indirect cycles, sensitivity calculations were performed for reactor outlet temperature between 550 C and 850 C. The UniSim models used realistic component parameters and operating conditions to model the complete reactor and power conversion systems. CO2 properties were evaluated, and the operating ranges of the cycles were adjusted to take advantage of the rapidly changing properties of CO2 near the critical point. The results of the analyses showed that, for the direct supercritical CO2 power cycle, thermal efficiencies in the range of 40 to 50% can be achieved. For the indirect supercritical CO2 power cycle, thermal efficiencies were approximately 10% lower than those obtained for the direct cycle over the same reactor outlet temperature range.
Optimal sizing study of hybrid wind/PV/diesel power generation unit
Belfkira, Rachid; Zhang, Lu; Barakat, Georges [Groupe de Recherche en Electrotechnique et Automatique du Havre, University of Le Havre, 25 rue Philippe Lebon, BP 1123, 76063 Le Havre (France)
2011-01-15T23:59:59.000Z
In this paper, a methodology of sizing optimization of a stand-alone hybrid wind/PV/diesel energy system is presented. This approach makes use of a deterministic algorithm to suggest, among a list of commercially available system devices, the optimal number and type of units ensuring that the total cost of the system is minimized while guaranteeing the availability of the energy. The collection of 6 months of data of wind speed, solar radiation and ambient temperature recorded for every hour of the day were used. The mathematical modeling of the main elements of the hybrid wind/PV/diesel system is exposed showing the more relevant sizing variables. A deterministic algorithm is used to minimize the total cost of the system while guaranteeing the satisfaction of the load demand. A comparison between the total cost of the hybrid wind/PV/diesel energy system with batteries and the hybrid wind/PV/diesel energy system without batteries is presented. The reached results demonstrate the practical utility of the used sizing methodology and show the influence of the battery storage on the total cost of the hybrid system. (author)
Optimal Transmission Switching in Electric Networks for Improved Economic Operations1
Ferris, Michael C.
. Abstract Growing demand for electric power seems to necessitate new transmission lines, but obstacles demand with existing infrastructure. In this paper we present the formulation for an Optimal Power Flow have been considered static infrastructure, a "superhighway" for power delivery. However, switching
Optimization Online Digest -- March 2015
Real-Time Dispatchability of Bulk Power Systems with Volatile Renewable Generations ... Optimization of Multiple Receivers Solar Power Tower systems
Optimal restoration of power supply in large distribution systems in developing countries
Devi, V.S.; Sen Gupta, D.P. [Indian Inst. of Science, Bangalore (India). Dept. of Electrical Engineering; Anandalingam, G. [Univ. of Pennsylvania, Philadelphia, PA (United States). Dept. of Systems Engineering
1995-01-01T23:59:59.000Z
A computer aided optimal method has been developed for the restoration of electric supply to areas isolated from the network following a fault in a distribution system. A search technique is used where the search is guided by appropriate heuristics. The optimum solution entails finding the strategy which involves the operation of minimum number of switch gear for rerouting the supply within the constraint of specified loading. This is an essential requirement in countries like India where the circuit breakers are almost always manually operated and a number of transformers and feeders operate close to their rated capacity. It pays therefore to adopt different strategies at peak load and off peak conditions since the number of breaker operations is so critical. The heuristic search that is developed is applied to a large distribution system and provides very good results.
Concentration solar power optimization system and method of using the same
Andraka, Charles E
2014-03-18T23:59:59.000Z
A system and method for optimizing at least one mirror of at least one CSP system is provided. The system has a screen for displaying light patterns for reflection by the mirror, a camera for receiving a reflection of the light patterns from the mirror, and a solar characterization tool. The solar characterization tool has a characterizing unit for determining at least one mirror parameter of the mirror based on an initial position of the camera and the screen, and a refinement unit for refining the determined parameter(s) based on an adjusted position of the camera and screen whereby the mirror is characterized. The system may also be provided with a solar alignment tool for comparing at least one mirror parameter of the mirror to a design geometry whereby an alignment error is defined, and at least one alignment unit for adjusting the mirror to reduce the alignment error.
Subtask 1.24 - Optimization of Cooling Water Resources for Power Generation
Daniel Stepan; Richard Shockey; Bethany Kurz; Wesley Peck
2009-03-31T23:59:59.000Z
The Energy & Environmental Research Center (EERC) has developed an interactive, Web-based decision support system (DSS{copyright} 2007 EERC Foundation) to provide power generation utilities with an assessment tool to address water supply issues when planning new or modifying existing generation facilities. The Web-based DSS integrates water and wastewater treatment technology and water law information with a geographic information system-based interactive map that links to state and federal water quality and quantity databases for North Dakota, South Dakota, Minnesota, Wyoming, Montana, Nebraska, Wisconsin, and Iowa.
Large amplitude oscillatory shear flow of gluten dough: A model power-law gel
Ng, Trevor S. K.
In a previous paper [T. S. K. Ng and G. H. McKinley, J. Rheol.52(2), 417449 (2008)], we demonstrated that gluten gels can best be understood as a polymericnetwork with a power-law frequency response that reflects the ...
A Flow Level Perspective on Base Station Power Allocation in Green Networks
Boyer, Edmond
the energy-efficiency of base stations operating in the downlink. The energy-efficiency refers to the amount nature of users (referred to as the global energy-efficiency). We emphasize our numerical results that study the influence of the radio conditions, transmit power and the user traffic on the energy-efficiency
Optimizing Technology to Reduce Mercury and Acid Gas Emissions from Electric Power Plants
Jeffrey C. Quick; David E. Tabet; Sharon Wakefield; Roger L. Bon
2005-01-31T23:59:59.000Z
Revised maps and associated data show potential mercury, sulfur, and chlorine emissions for U.S. coal by county of origin. Existing coal mining and coal washing practices result in a 25% reduction of mercury in U.S. coal before it is delivered to the power plant. Selection of low-mercury coal is a good mercury control option for plants having hot-side ESP, cold-side ESP, or hot-side ESP/FGD emission controls. Chlorine content is more important for plants having cold-side ESP/FGD or SDA/FF controls; optimum net mercury capture is indicated where chlorine is between 500 and 1000 ppm. Selection of low-sulfur coal should improve mercury capture where carbon in fly ash is used to reduce mercury emissions.
Palaniappan, Arun
2012-02-14T23:59:59.000Z
for the power optimization and comparison of high-speed electrical and optical links at a given data rate and channel type in 90 nm and 45 nm CMOS technologies. The electrical I/O design framework combines statistical link analysis techniques, which are used...
Graves, Steven W; Habbersett, Robert C
2013-10-22T23:59:59.000Z
A system and method for analyzing a particle in a sample stream of a flow cytometer or the like. The system has a light source, such as a laser pointer module, for generating a low powered light beam and a fluidics apparatus which is configured to transport particles in the sample stream at substantially low velocity through the light beam for interrogation. Detectors, such as photomultiplier tubes, are configured to detect optical signals generated in response to the light beam impinging the particles. Signal conditioning circuitry is connected to each of the detectors to condition each detector output into electronic signals for processing and is designed to have a limited frequency response to filter high frequency noise from the detector output signals.
Graves, Steven W.; Habbersett, Robert C.
2014-07-01T23:59:59.000Z
A system and method for analyzing a particle in a sample stream of a flow cytometer or the like. The system has a light source, such as a laser pointer module, for generating a low powered light beam and a fluidics apparatus which is configured to transport particles in the sample stream at substantially low velocity through the light beam for interrogation. Detectors, such as photomultiplier tubes, are configured to detect optical signals generated in response to the light beam impinging the particles. Signal conditioning circuitry is connected to each of the detectors to condition each detector output into electronic signals for processing and is designed to have a limited frequency response to filter high frequency noise from the detector output signals.
LaRocca, Sarah; Hassel, Henrik; Guikema, Seth
2013-01-01T23:59:59.000Z
Critical infrastructure systems must be both robust and resilient in order to ensure the functioning of society. To improve the performance of such systems, we often use risk and vulnerability analysis to find and address system weaknesses. A critical component of such analyses is the ability to accurately determine the negative consequences of various types of failures in the system. Numerous mathematical and simulation models exist which can be used to this end. However, there are relatively few studies comparing the implications of using different modeling approaches in the context of comprehensive risk analysis of critical infrastructures. Thus in this paper, we suggest a classification of these models, which span from simple topologically-oriented models to advanced physical flow-based models. Here, we focus on electric power systems and present a study aimed at understanding the tradeoffs between simplicity and fidelity in models used in the context of risk analysis. Specifically, the purpose of this pa...
Parallel computation of Gauss-Seidel type algorithms for power flow analysis
Ongsakul, Weerakorn
1991-01-01T23:59:59.000Z
of Iteration Numbers and CPU Time 25 ; III Comparison of CPU Time per Iteration and per Bus Iteration IV Number of Operations per Iteration per Bus 26 32. V Summary of Connections and Connectivity Degree in IEEE 14 Bus System VI Number of Colored Buses... in Standard IEEE System 61, VII Summary of Colored Bus Numbers 62 ' VIII CPU Times to Color Power System in 3 Colors 63 ' IX CPU Times Data to Color Texas 2429 Bus System as the Available Color Numbers Vary . X Color-by-Color Synchronized Implementation...
Parallel computation of Gauss-Seidel type algorithms for power flow analysis
Ongsakul, Weerakorn
1991-01-01T23:59:59.000Z
in Standard IEEE System 61, VII Summary of Colored Bus Numbers 62 ' VIII CPU Times to Color Power System in 3 Colors 63 ' IX CPU Times Data to Color Texas 2429 Bus System as the Available Color Numbers Vary . X Color-by-Color Synchronized Implementation... Bus, 1 Connects to a Subprogram to Handle Generation Buses, D and B Connects to a Reading Count and Iteration Count Subprogram, and C Connects to a Subprogram to Handle Load Buses. 95 , 12 A Conventional Subprogram to Handle Generation Buses. 96...
Microsoft PowerPoint - Proposal-Review-Flow-Chart_2013.pptx
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 82981-1cnHighand RetrievalsFinalModule8.pptStates AOnline0,PROJECTSToCAWCRHYDRAULIC
Ulbrich, Michael
WITH APPLICATIONS TO CO2 SEQUESTRATION IN UNDERGROUND RESERVOIRS MORITZ SIMON AND MICHAEL ULBRICH Abstract. With the target of optimizing CO2 sequestration in underground reservoirs, we investigate constrained optimal the amount of trapped CO2 in an underground reservoir after a fixed period of CO2 injection, while time
Reliability assessment of electrical power systems using genetic algorithms
Samaan, Nader Amin Aziz
2004-11-15T23:59:59.000Z
of the dissertation, a GA based method for state sampling of composite generation-transmission power systems is introduced. Binary encoded GA is used as a state sampling tool for the composite power system network states. A linearized optimization load flow model...
March 19, 2008 1 Abstract--In this paper, we continue to analyze optimal
Oren, Shmuel S.
optimal power flow (DCOPF) used to dispatch generators to meet load in an efficient manner. We then useMarch 19, 2008 1 Abstract--In this paper, we continue to analyze optimal dispatch of generation the state of the transmission element (line or transformer). Previous research showed a 25% savings
Grizzle, Jessy W.
An Energy Management Controller to Optimally Trade Off Fuel Economy and Drivability for Hybrid Abstract--Hybrid Vehicle fuel economy performance is highly sensitive to the energy management strategy used to regulate power flow among the various energy sources and sinks. Optimal non-causal solutions
OPTIMIZING TECHNOLOGY TO REDUCE MERCURY AND ACID GAS EMISSIONS FROM ELECTRIC POWER PLANTS
Jeffrey C. Quick; David E. Tabet; Sharon Wakefield; Roger L. Bon
2005-10-01T23:59:59.000Z
Maps showing potential mercury, sulfur, chlorine, and moisture emissions for U.S. coal by county of origin were made from publicly available data (plates 1, 2, 3, and 4). Published equations that predict mercury capture by emission control technologies used at U.S. coal-fired utilities were applied to average coal quality values for 169 U.S. counties. The results were used to create five maps that show the influence of coal origin on mercury emissions from utility units with: (1) hot-side electrostatic precipitator (hESP), (2) cold-side electrostatic precipitator (cESP), (3) hot-side electrostatic precipitator with wet flue gas desulfurization (hESP/FGD), (4) cold-side electrostatic precipitator with wet flue gas desulfurization (cESP/FGD), and (5) spray-dry adsorption with fabric filter (SDA/FF) emission controls (plates 5, 6, 7, 8, and 9). Net (lower) coal heating values were calculated from measured coal Btu values, and estimated coal moisture and hydrogen values; the net heating values were used to derive mercury emission rates on an electric output basis (plate 10). Results indicate that selection of low-mercury coal is a good mercury control option for plants having hESP, cESP, or hESP/FGD emission controls. Chlorine content is more important for plants having cESP/FGD or SDA/FF controls; optimum mercury capture is indicated where chlorine is between 500 and 1000 ppm. Selection of low-sulfur coal should improve mercury capture where carbon in fly ash is used to reduce mercury emissions. Comparison of in-ground coal quality with the quality of commercially mined coal indicates that existing coal mining and coal washing practice results in a 25% reduction of mercury in U.S. coal before it is delivered to the power plant. Further pre-combustion mercury reductions may be possible, especially for coal from Texas, Ohio, parts of Pennsylvania and much of the western U.S.
Christian Kreuzer; Endre Süli
2015-03-18T23:59:59.000Z
We develop the a posteriori error analysis of finite element approximations of implicit power-law-like models for viscous incompressible fluids. The Cauchy stress and the symmetric part of the velocity gradient in the class of models under consideration are related by a, possibly multi--valued, maximal monotone $r$-graph, with $\\frac{2d}{d+1}finite element residual, as well as the local stability of the error bound. We then consider an adaptive finite element approximation of the problem, and, under suitable assumptions, we show the weak convergence of the adaptive algorithm to a weak solution of the boundary-value problem. The argument is based on a variety of weak compactness techniques, including Chacon's biting lemma and a finite element counterpart of the Acerbi--Fusco Lipschitz truncation of Sobolev functions, introduced by L. Diening, C. Kreuzer and E. S\\"uli [Finite element approximation of steady flows of incompressible fluids with implicit power-law-like rheology. SIAM J. Numer. Anal., 51(2), 984--1015].
Characterization of Limiting Factors in Laminar Flow-Based Membraneless Microfuel Cells
Kenis, Paul J. A.
are underway to develop and optimize microscale fuel cells as high-energy-density power source alternatives, where fuel and oxidant are oxidized and re- duced, respectively, is essential for fuel cell optimization reports the analysis of a microflu- idic fuel cell based on laminar flow using an external reference
Mailhes, Corinne
dispatching of power flows in a microgrid with storage. The investigated approach is based on the use Scheduling and Sensitivity Analysis for Sizing a Microgrid with Storage. (2014) In: 11th International FOR SIZING A MICROGRID WITH STORAGE R. Rigo-Mariani1 , B. Sareni1 , X. Roboam1 1. Université de Toulouse
Miller, Travis Reed
2010-01-01T23:59:59.000Z
This work aimed to inform the design of ceramic pot filters to be manufactured by the organization Pure Home Water (PHW) in Northern Ghana, and to model the flow through an innovative paraboloid-shaped ceramic pot filter. ...