• DocumentCode
    2930650
  • Title

    Improving of PAB Bidding Mechanism in Electricity Market Based on the Signal Transmission

  • Author

    Li, Jun ; Liu, Junyong ; Liu, Limin ; Wei, Zhenbo

  • Author_Institution
    Key Lab. of Smart Grid, Sichuan Univ., Chengdu, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Analyzing from the several main kinds of bidding mechanism for electricity market,the most important factor to judge the superiority and inferiority of bidding mechanism is the degree of information disturbance. From the perspective of signal transmission in game theory, this paper proposed a random matching mechanism of optimal probability to improve the fault of PAB Bidding mechanism. This mechanism developed an optimal probability distribution method so as to minimize the average trading price, used the information disturbance of probability to affect the learning ability of generators and weaken theirs market power behavior. Through the simulation confirmation,this mechanism can affect the learning ability of generators more effectively to improve the fault of PAB bidding mechanism.
  • Keywords
    electric generators; game theory; power markets; power system faults; probability; PAB bidding mechanism; electricity market; game theory; generator; information disturbance degree; optimal probability distribution method; power market; random matching mechanism; signal transmission; Data models; Games; Generators; Power markets; Probability distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748581
  • Filename
    5748581