• DocumentCode
    507211
  • Title

    Dynamic Evolution Analysis of Power Market Based on Heterogeneous Behavioral Decision-Making

  • Author

    Chen, Runying ; Yang, Hongming ; Lai, Shaoyuan ; Lu, Qingzhu

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
  • Volume
    6
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    186
  • Lastpage
    190
  • Abstract
    In order to simulate the dynamic of bid accurately, power generation companies select behavioral decision-making from a finite set of different behavioral decision-makings. Each generation company has taken the probability of decision-making behavior depending on the profits of power generation companies. Using more sophisticated decision-makings may require extra information costs. The selected probability of behavioral decision-making is from the replicator of dynamic equation. We consider a typical example where two nodes choose between two decision-makings: the bounded rationality decision-making and the best-reply decision-making. From the figure simulation we can see that the best-reply decision-making can not be out of the bounded rationality decision-making. Under certain conditions, generation companies would give priority to select the bounded rationality decision-making.
  • Keywords
    decision making; power markets; best-reply decision-making; bounded rationality decision-making; decision-making behavior; dynamic equation; dynamic evolution analysis; heterogeneous behavioral decision-making; power generation companies; power market; Bismuth; Decision making; Educational institutions; Electronic mail; Fuzzy systems; ISO; Information analysis; Power generation; Power markets; Power system modeling; Keywords-behavioral decision-making; chaotic; power market;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.641
  • Filename
    5359824