• DocumentCode
    2448129
  • Title

    A Decision Making Model of Chinese Coal-Electricity Market Based on Game Theory

  • Author

    Wang Zhu-fang ; Xiong Jiu-feng

  • Author_Institution
    Manage. Sch., Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    67
  • Lastpage
    69
  • Abstract
    Because of the current coexistence of two economy systems in China, namely planned economy system and market economy system, the electricity price is restricted. Considering only one economy system, the prevailing methods to calculate the profits of two parties, coal industry and electricity industry, are not applicable in China. Based on Nash equilibrium, a synchronous reaction model is established to calculate the maximum profits of the two parties considering the special circumstance in China. The reaction function is applied to solve the proposed model. A practical case is studied using the proposed model. The results show that the model and the solving method are effective and applicable. By the practical case, we make sure that the total profit with alliance is greater than that without alliance, which provides basis for the two parties to make decisions. The profit values obtained are helpful for the government to take the balanced measures for purpose of sustainable development.
  • Keywords
    coal; decision making; game theory; power markets; power system economics; power system planning; pricing; Chinese coal-electricity market; Nash equilibrium; decision making model; electricity price; game theory; market economy system; planned economy system; synchronous reaction model; Decision making; Electricity supply industry; Fuel processing industries; Game theory; Nash equilibrium; Power generation; Power generation economics; Power system modeling; Production; Sustainable development; Coal-fired electricity market; Nash equilibrium; game theory; reaction function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3615-6
  • Type

    conf

  • DOI
    10.1109/JCAI.2009.103
  • Filename
    5158940