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

被引:0
|
作者
Han, Zhenghua [1 ]
Zhou, Yuhui [1 ]
Wu, Junyong [1 ]
Xu, Minjie [1 ]
Wang, Haitao [2 ]
机构
[1] Beijing Jiaotong University, Beijing 100044, China
[2] State Grid Beijing Electric Power Corporation, Beijing 100031, China
关键词
Competition - Electric power systems - Multi agent systems - Probability;
D O I
暂无
中图分类号
学科分类号
摘要
Under the environment of wholesale competition power markets in the future in China, the bilateral bargaining strategy of long-term 'direct supply' contract between consumer and generation company is studied. Considering the expectant profit of bargaining, the mixed strategy for bidding in multi-player bargaining is proposed. The game theory and its Nash equilibrium in the mixed strategy are analyzed in detail. The analytic hierarchical process (AHP) is applied to synthetically evaluate potential bargainers and obtain the selected probability of mixed strategy so as to find the appropriate bargainers, reduce the cost of long-term contract negotiation, and finally sign the contact successfully. The idea of multi-agent system (MAS) is used to simulate the circulatory negotiation process of multi-player participates and the validity of the method is demonstrated by a numerical example with multi-player participates.
引用
收藏
页码:20 / 26
相关论文
共 50 条
  • [1] Bidding Strategy Based on the Degree of Completion for Bilateral Negotiation of Power Market
    Zhang, Ling
    Zhang, Kaifeng
    Geng, Jian
    Zhou, Suyan
    Wen, Kuang
    Tian, Lidan
    PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 5715 - 5720
  • [2] Bargaining power in electronic negotiations: A bilateral negotiation mechanism
    Buettner, Ricardo
    Kirn, Stefan
    E-COMMERCE AND WEB TECHNOLOGIES, PROCEEDINGS, 2008, 5183 : 92 - +
  • [3] A game-theory based knowledge presentation for bilateral business negotiation
    Shang, W
    Li, YJ
    Xie, AS
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 2650 - 2653
  • [4] A Game Theory Strategy-Based Bidding Evaluation for Power Generation Market
    Kumar, Saurabh
    Dwivedi, Bharti
    Shrivastava, Nitin Anand
    IEEE Canadian Journal of Electrical and Computer Engineering, 2021, 44 (03): : 283 - 288
  • [5] Market power in power markets: Game theory vs. agent-based approach
    Saguan, Marcelo
    Keseric, Nenad
    Dessante, Philippe
    Glachant, Jean-Michel
    2006 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: LATIN AMERICA, VOLS 1-3, 2006, : 1081 - +
  • [6] Bilateral Negotiation in a Multi-Agent Energy Market
    Lopes, Fernando
    Novais, A. Q.
    Coelho, Helder
    EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PROCEEDINGS, 2009, 5754 : 655 - +
  • [7] Study on negotiation of multi-agent system based on game theory
    Wang, SM
    Hu, WB
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOL 2, 2004, : 221 - 224
  • [8] BARGAINING AND NEGOTIATION IN A MIXED-MOTIVE GAME - PRICE LEADERSHIP BILATERAL MONOPOLY
    HARNETT, DL
    SOUTHERN ECONOMIC JOURNAL, 1967, 33 (04) : 479 - 487
  • [9] A pricing strategy based on potential game and bargaining theory in smart grid
    Yang, Jie
    Dai, Yachao
    Ma, Kai
    Liu, Hongru
    Liu, Zhixin
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (02) : 253 - 263
  • [10] Game theory-based negotiation research in multi-agent systems
    Xiao, Dongrong
    Wuhan Jiaotong Keji Daxue Xuebao/Journal of Wuhan Transportation University, 2000, 24 (01): : 20 - 24