Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31824
Power System Contingency Analysis Using Multiagent Systems

Authors: Anant Oonsivilai, Kenedy A. Greyson


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.

Keywords: Agents, model, negotiation, optimal dispatch, powersystems.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1981


[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: