Integrated Computing, Communication, and Distributed Control of Deregulated Electric Power Systems

Bajura, Richard ; Feliachi, Ali

关键词: ALGORITHMS;    COMMUNICATIONS;    DEREGULATION;    DISTRIBUTION;    DISTURBANCES;    ECONOMICS;    ELECTRICITY;    ENERGY SYSTEMS;    MARKET;    POWER SYSTEMS;    POWER TRANSMISSION LINES;    RELIABILITY;    STABILITY Electric Power Systems;    Distributed Generation;    Control Agents;    Communication;    Oscillation Damping;    Econometric Models;    Microgrids;   

DOI  :  10.2172/938476
RP-ID  :  DOE-ER45829-Final Report
PID  :  OSTI ID: 938476
Others  :  TRN: US201009%%408

学科分类：电力

美国|英语

来源: SciTech Connect

【 摘 要 】

Restructuring of the electricity market has affected all aspects of the power industry from generation to transmission, distribution, and consumption. Transmission circuits, in particular, are stressed often exceeding their stability limits because of the difficulty in building new transmission lines due to environmental concerns and financial risk. Deregulation has resulted in the need for tighter control strategies to maintain reliability even in the event of considerable structural changes, such as loss of a large generating unit or a transmission line, and changes in loading conditions due to the continuously varying power consumption. Our research efforts under the DOE EPSCoR Grant focused on Integrated Computing, Communication and Distributed Control of Deregulated Electric Power Systems. This research is applicable to operating and controlling modern electric energy systems. The controls developed by APERC provide for a more efficient, economical, reliable, and secure operation of these systems. Under this program, we developed distributed control algorithms suitable for large-scale geographically dispersed power systems and also economic tools to evaluate their effectiveness and impact on power markets. Progress was made in the development of distributed intelligent control agents for reliable and automated operation of integrated electric power systems. The methodologies employed combine information technology, control and communication, agent technology, and power systems engineering in the development of intelligent control agents for reliable and automated operation of integrated electric power systems. In the event of scheduled load changes or unforeseen disturbances, the power system is expected to minimize the effects and costs of disturbances and to maintain critical infrastructure operational.