IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/237094.html
   My bibliography  Save this article

Research on Power Producer’s Bidding Behavior Based on the Best-Response Dynamic Model

Author

Listed:
  • Jingqi Sun
  • Xiaochun Zhang
  • Sen Guo

Abstract

As China’s electricity market is facing many problems, the research on power producer’s bidding behavior can promote the healthy and sustainable development of China’s electricity market. As a special commodity, the “electricity” possesses complicated production process. The instable market constraint condition, nonsymmetric information, and a lot of random factors make the producer’s bidding process more complex. Best-response dynamic is one of the classic dynamic mechanisms of the evolutionary game theory, which applies well in the repeated game and strategy evolution that happen among a few bounded rational players with a quick learning capability. The best-response dynamic mechanism is employed to study the power producer’s bidding behavior in this paper, the producer’s best-response dynamic model is constructed, and how the producers would engage in bidding is analyzed in detail. Taking two generating units in South China regional electricity market as the example, the producer’s bidding behavior by following the producer’s best-response dynamic model is verified. The relationships between the evolutionarily stable strategy (ESS) of power producer’s bidding and the market demand, and ceiling and floor price as well as biding frequency are discussed in detail.

Suggested Citation

  • Jingqi Sun & Xiaochun Zhang & Sen Guo, 2014. "Research on Power Producer’s Bidding Behavior Based on the Best-Response Dynamic Model," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-10, June.
  • Handle: RePEc:hin:jnljam:237094
    DOI: 10.1155/2014/237094
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2014/237094.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/JAM/2014/237094.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/237094?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnljam:237094. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.