• DocumentCode
    2093677
  • Title

    Bidding Learning Model and Its Analysis in Oligopoly Power Market with Linear Demand Function

  • Author

    Zhang, Xinhua ; Li, Wenjuan

  • Author_Institution
    Changsha Univ. of Sci. & Technol., Changsha, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the utility function considering power producers´ risk factor, a learning model for power bidding to stochastic demand is presented, and whose stable condition is analyzed. Then the simulation of power market consisted of three power producers is done, in which the bifurcation and chaos control of the learning model is discussed, the analysis indicates that, (1) the chaos of bidding learning system can be controlled by using delayed feedback methods. (2) the more risk-averse, the lower producers´ bid, the larger the fluctuation of power demand, the lower bid. (3) when the risk-averse and the demand fluctuation reach some extent, the bidding learning system will walk out its chaos and into equilibrium state, which will locate in a lower level.
  • Keywords
    oligopoly; power markets; stochastic processes; Oligopoly power market simulation; bidding learning model; bifurcation; chaos control; delayed feedback methods; demand fluctuation; equilibrium state; linear demand function; power bidding; power producers risk factor; stochastic demand; utility function; Analytical models; Bifurcation; Chaos; Fluctuations; Learning systems; Oligopoly; Power markets; Power system modeling; Risk analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448435
  • Filename
    5448435