Market oriented planning of power generation expansion using agent-based model

The deregulated electricity industry is characterized by structural change and strategic behaviors of market participants. There is a need of a novel model for medium and long term planning that could include games theoretical assumptions as well as other more complex assumptions. This paper proposes a new agent-based model designed to support decentralized planning activities in electricity supply industry, with a certain level of flexibility. In this model, the expansion planning method is developed around a multiagent simulation system where the interactions among agents in electricity market are simulated. An example is given to illustrate the proposed model.

[1]  J. Pang,et al.  Strategic gaming analysis for electric power systems: an MPEC approach , 2000 .

[2]  Fushuan Wen,et al.  Generation capacity adequacy in the competitive electricity market environment , 2004 .

[3]  Diego Moitre Nash equilibria in competitive electric energy markets , 2002 .

[4]  Samuel Pierre,et al.  A Multi-agent Architecture for Intelligent Mobile Agents , 2001, MATA.

[5]  Felix F. Wu,et al.  Game Theoretical Multi-agent Modelling of Coalition Formation for Multilateral Trades , 1999 .

[6]  R. Hakvoort,et al.  Market failure in generation investment? the dutch perspective , 2002 .

[7]  Friedel Bolle,et al.  Supply function equilibria and the danger of tacit collusion: The case of spot markets for electricity , 1992 .

[8]  Tariq Samad,et al.  SEPIA. A simulator for electric power industry agents , 2000 .

[9]  Conjectural variation based bidding strategy in spot markets: fundamentals and comparison with classical game theoretical bidding strategies , 2003 .

[10]  D. J. Wu,et al.  Strategic gaming in electric power markets , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[11]  Felix Wu,et al.  A Game-Theoretic Model for Generation Expansion Planning: Problem Formulation and Numerical Comparisons , 2001, IEEE Power Engineering Review.

[12]  A. G. Kagiannas,et al.  Power generation planning: a survey from monopoly to competition , 2004 .

[13]  Roch Glitho,et al.  A Mobile Agent Based Service Architecture for Internet Telephony , 2002 .

[14]  Derek W. Bunn,et al.  Agent-based simulation-an application to the new electricity trading arrangements of England and Wales , 2001, IEEE Trans. Evol. Comput..

[15]  Frederic H. Murphy,et al.  Generation Capacity Expansion in Imperfectly Competitive Restructured Electricity Markets , 2005, Oper. Res..

[16]  Jacques Ferber,et al.  Les Systèmes multi-agents: vers une intelligence collective , 1995 .

[17]  J. Pang,et al.  Oligopolistic Competition in Power Networks: A Conjectured Supply Function Approach , 2002, IEEE Power Engineering Review.

[18]  Jerome Yen,et al.  A decentralized approach for optimal wholesale cross-border trade planning using multi-agent technology , 2001 .

[19]  Optimization of generation investments under uncertainty in restructured power markets , 2003 .

[20]  David M Newbery,et al.  Regulating electricity to ensure efficient competition , 2001 .

[21]  V. C. Ramesh,et al.  Intelligent agents for negotiations in market games. I. Model , 1998 .

[22]  Samuel Pierre,et al.  A Mobile Agent-Based Advanced Service Architecture for Wireless Internet Telephony: Design, Implementation, and Evaluation , 2003, IEEE Trans. Computers.