Simulation and Evaluation of Optimization Problem Solutions in Distributed Energy Management Systems

Deregulation in electricity markets requires fast and robust optimization tools for a secure and efficient operation of the electric power system. In addition, there is the need for integrating and coordinating operational decisions taken by different utilities acting in the same market. Distributed energy management systems (DEMS) may help to fulfill these requirements. The design of DEMS requires detailed simulation results for the evaluation of its performance. To simulate the operation of DEMS from the optimization standpoint, a general purpose distributed optimization software tool, DistOpt, is used, and its capabilities are extended to handle power system problems. The application to the optimal power flow problem is presented.

[1]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[2]  Ignacio J. Pérez-Arriaga,et al.  International power system transmission open access experience , 1995 .

[3]  Eric Allen,et al.  Providing for transmission in times of scarcity: an ISO cannot do it all , 1999 .

[4]  R. Baldick,et al.  State estimation distributed processing [for power systems] , 2000 .

[5]  Ross Baldick,et al.  Coarse-grained distributed optimal power flow , 1997 .

[6]  O. Alsac,et al.  Optimal Load Flow with Steady-State Security , 1974 .

[7]  Mohammad Shahidehpour,et al.  Parallel and Distributed State Estimation , 2003 .

[8]  Pravin Varaiya,et al.  Coordinated multilateral trades for electric power networks: theory and implementation , 1999 .

[9]  Felix F. Wu,et al.  DistOpt: A Software Framework for Modeling and Evaluating Optimization Problem Solutions in Distributed Environments , 2000, J. Parallel Distributed Comput..

[10]  G. Cohen Auxiliary problem principle and decomposition of optimization problems , 1980 .

[11]  A. Renaud,et al.  Daily generation scheduling optimization with transmission constraints: a new class of algorithms , 1992 .

[12]  Liam Murphy,et al.  Parallel and distributed state estimation , 1995 .

[13]  A. Vojdani,et al.  Transmission dispatch and congestion management in the emerging energy market structures , 1998 .

[14]  H. R. Fudeh,et al.  Performance simulation of distributed energy management systems , 1991 .

[15]  S. Lee,et al.  Security applications and architecture for an open market , 1999 .

[16]  Farrokh Albuyeh,et al.  Implementation of the California independent system operator , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[17]  A. Moser,et al.  Network and power applications for EMS within a competitive environment , 1999, 1999 IEEE Transmission and Distribution Conference (Cat. No. 99CH36333).

[18]  Mario Russo,et al.  On the Application of the Auxiliary Problem Principle , 2003 .

[19]  Ross Baldick,et al.  State Estimation Distributed Processing , 2000 .