Negotiation strategy based on game theory with agent for bilateral bargaining of power market

Dianli Xitong Zidonghua/Automation of Electric Power Systems

Volumn 31, Issue 1, 2007, Pages 20-26

  Han, Zhenghua ^a   Zhou, Yuhui ^a   Wu, Junyong ^a   Xu, Minjie ^a   Wang, Haitao ^b  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b Beijing Electric Power Corporation   (China)

Author keywords

Analytic hierarchical process; Bilateral bargaining; Game theory; Mixed strategy; Multi agent system; Negotiation; Power market

Indexed keywords

COMPETITION; ELECTRIC POWER SYSTEMS; MULTI AGENT SYSTEMS; PROBABILITY;

ANALYTIC HIERARCHICAL PROCESS; BILATERAL BARGAINING; MIXED STRATEGY; NASH EQUILIBRIUM; NEGOTIATION; POWER MARKET;

GAME THEORY;

EID: 33847796810     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. WU Jun, TU Guangyu, LUO Yi, et al. Analyzing on the exchange mode of market. Automation of Electric Power Systems, 2002, 26(12): 24-34
2. XING Weiguo, LIN Jikeng, WEN Fushuan, et al. A study of market type and trading mode for the Three Gorges power market. Automation of Electric Power Systems, 2001, 25(12): 8-12.
3. SHI Lianjun, HAN Fang, ZHANG Guowei. Feasibility study on power market trading between East and Central China using Ge-Nan HVDC transmission. Electric Power, 2000, 33(11): 69-71.
4. CHEN Gang, WANG Chao, XIE Song, et al. Study on bargaining of power consumer' direct buying based on game theory. Power System Technology, 2004, 28(13): 75-79.
5. WU Zhiyong, KANG Chongqing, XIA Qing, et al. Strategic bidding with application of game theory. Automation of Electric Power Systems, 2002, 26(9): 8-11.
6. YUAN Jiahai, DING Wei, HU Zhaoguang. A critical study of agent based computational economics and its application in research of electricity market theory. Power System Technology, 2005, 29(7): 47-51.
7. TANG Zhongping, HE Yongxiu, HUANG Wenjie, et al. Comparison of the application of multi-agent technique game theory to the bidding strategies in power market. Modern Electric Power, 2005, 22(1): 98-102.
8. LIU Meizhao, YANG Li, GAN Deqiang. A study on agent based electricity market simulation. Power System Technology, 2005, 29(4): 76-79.
9. LIU Hongjin, YUAN Bin, DAI Hongwei. Multi-agent system and its application in power market. Automation of Electric Power Systems, 2001, 26(10): 45-52.
10. WATANABE I, YAMAGUCHI N, SHIINA T, et al. Agent-based simulation model of electricity market with stochastic unit commitment//Proceedings of International Conference on Probabilistic Methods Applied to Power Systems, Sep 12-16, 2004, Ames, LA, USA. New York, NY, USA: IEEE, 2004: 403-408.
11. ZOU Bin, YAN Maosong, XIE Xianya. The comparisons between pricing methods on pool-based electricity market using agent-based simulation//Proceedings of 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004): Vol 1, Apr 5-8, 2004, Hong Kong, China. New York, NY, USA: IEEE, 2004: 285-289.
12. YU Jing, ZHOU Jianzhong, YANG Junjie, et al. Agent-based retail electricity market: modeling and analysis//Proceedings of the Third International Conference on Machine Learning and Cybernetics: Vol 1, Aug 26-29, 2004, Shanghai, China. New York, NY, USA: IEEE, 2004: 95-100.
13. YUAN Jiahai, HU Zhaoguang. A multi-agent based negotiation simulation system for electricity contract market. Power System Technology, 2005, 29(11): 50-52.
14. NORTH M, CONZELMANN G, KORITAROV V, et al. E-laboratories agent-based modeling of electricity markets//Proceedings of 2002 American Power Conference, Apr 15-17, 2002, Chicago, IL, USA.
15. BUNN D W, OLIVEIRA F S. Agent-based simulation - an application to the new electricity trading arrangements of England and Wales. IEEE Trans on Computation, 2001, 5(5): 493-503.
16. WOOLDRIDGE W, JENNINGS N R. Intelligent agents: theory and practice. The Knowledge Engineering Review, 1995, 10(2): 115-152.
17. LIU Xiaoguang, LIU Xiaofeng, HU Bin. Design of electricity market simulation system based on multi-agent system. Computer Simulation, 2004, 22(3): 211-213.
18. QI Huan, WANG Xiaoping. System modeling and simulation. Beijing: Tsinghua University Press, 2004: 261-271.
19. MA Xinshun, WEN Fushuan, LIU Jianxin. Development of optimal bidding strategies for generation companies considering transmission capacity constraints. Automation of Electric Power Systems, 2005, 29(10): 6-10.
20. MA Li, WEN Fushuan, NI Yixin, et al. Optimal bidding strategies for generation companies with network congestion taken into account. Automation of Electric Power Systems, 2003, 27(12): 12-17.
21. LIU Xincai, ZENG Ming, HUANG Yan. Assessment of power customer credit risk based on hierarchy analysis method. Power Demand Side Management, 2005, 7(6): 19-21.
22. CONG Lin, LI Zhimin, PAN Minghui, et al. Information security evaluation in power system based on fuzzy comprehensive judgement. Automation of Electric Power Systems, 2004, 28(12): 65-69.
23. WEN Fushuan, DAVID A K. Bidding strategies in electricity markets. Automation of Electric Power Systems, 2000, 24(14): 1-6.
24. MA Li, WEN Fushuan, DAVID A K. A preliminary investigation on bidding strategies employing step-wise bidding rules. Automation of Electric Power Systems, 2002, 26(9): 16-19.
25. YANG Li, WEN Fushuan, WU F F, et al. A possibility theory based approach for building optimal bidding strategies in electricity market. Automation of Electric Power Systems, 2002, 26(23): 12-17.
26. ZHANG Weiying. Game theory and information economics. Shanghai: Shanghai People's Press, 1996: 97-103.
27. HAN Zhenghua, ZHOU Yuhui. Application of game theory in electric power market. North China Electric Power, 2006(3): 17-20.
28. CHEN Haoyong, WANG Xiuli, WANG Xifan, et al. Auction theory and its application in electricity market auction design: Part one auction theory and its experimental research. Automation of Electric Power Systems, 2003, 27(3): 17-22.