Power System Contingency Analysis Using Multiagent Systems

The demand of the energy management systems (EMS) set forth by modern power systems requires fast energy management systems. Contingency analysis is among the functions in EMS which is time consuming. In order to handle this limitation, this paper introduces agent based technology in the contingency analysis. The main function of agents is to speed up the performance. Negotiations process in decision making is explained and the issue set forth is the minimization of the operating costs. The IEEE 14 bus system and its line outage have been used in the research and simulation results are presented.

• Anant Oonsivilai
• Kenedy A. Greyson

• Agents
• model
• negotiation
• optimal dispatch
• powersystems.

[1] F. Wu, C. Yeung, A. Poon, and J. Yen, "A Multi-agent Approach to the
Deregulation and Restructuring of Power Industry, " 31st Annual Hawaii
International Conference on System Sciences, (HICSS), Vol. 3, pp. 122,
1998.
[2] A. Abur, and A. G. Exposito, Power System State Estimation Theory
and Implementation, Marcel Dekker, Inc., 2004.
[3] M. Shahidehpour, and Y. Wang, Communication and Control in Electric
Power Systems: Applications of Parallel and Distributed Processing,
John Wiley & Sons, Inc., 2003.
[4] M. Wooldridge, Introduction to Multi-Agent Systems. John Wiley &
Sons Inc., 2002.
[5] Z. Yong-jun and R. Zhen, "Real-time Optimal Reactive Power Dispatch
Using Multiagent Technique," Electric Power Systems Research, Vol.
69, Issues 2-3, pp. 259-265, May 2004.
[6] C. Rehtanz, Autonomous Systems and Intelligent Agents in Power
System Control and Operation, Springer-Verlag Berlin Heidelberg New
York, 2003.
[7] A. Oonsivilai, and M.E. El-Hawary, "A Self-Organizing Fuzzy Power
System Stabilizer ", IEEE CCECE-98, 1998.
[8] A. Oonsivilai, and M.E. El-Hawary, "Power System Dynamic Load
Modelling using Adaptive-Network-Based Fuzzy Inference System,"
IEEE CCECE-99, 1999.
[9] A. Oonsivilai, and M.E. El-Hawary, "Wavelet Neural Network Based
Short Term Load Forecasting of Electric Power System Commercial
Load", IEEE. CCECE-99, 1999.
[10] H. L. Willis, and W. G. Scott, Distributed Power Generation: Planning
and Evaluation, Marcel Dekker, 2000.
[11] A. Oonsivilai, and K. A. Greyson, "Effect of Electric Power Shedding
on Economic Dispatch: Case Study Tanzania, " ICIEA, 2009, Nanjing,
China.
[12] Patel, M., Advances in the Evolutionary Synthesis of Intelligent Agents,
ed. P.J. Mukesh, V. Honavar, and K. Balakrishnan. 2001, Cambridge: