IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-344-3_46.html

Research on Distributed Power Market Trading Mechanism Considering Distributed Power Sources

In: Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023)

Author

Listed:
  • Jing Liu

    (State Grid of China Technology College, Grid Operation Training Department)

  • Haifeng Li

    (State Grid of China Technology College, Grid Operation Training Department)

  • Zhiyuan Pan

    (State Grid of China Technology College, Grid Operation Training Department)

  • Wenhai Wang

    (State Grid Shandong Electric Power Company, Hengyuan Asset Management Branch)

  • Jing Wang

    (State Grid of China Technology College, Grid Operation Training Department)

  • Xiaohan Ren

    (State Grid Shandong Electric Power Company, Linqing Power Supply Company)

Abstract

This article analyzes the current situation of distributed power generation construction and participation in the power market, sorts out the problems faced by distributed power generation participation in the centralized power market, and proposes a distributed power market trading framework based on blockchain technology. It designs a trading mechanism and process based on blockchain technology, and proposes a market clearing mechanism for centralized matching in the day ahead market and continuous matching in the real-time market, It can effectively solve the problem of distributed power sources participating in the electricity market.

Suggested Citation

  • Jing Liu & Haifeng Li & Zhiyuan Pan & Wenhai Wang & Jing Wang & Xiaohan Ren, 2023. "Research on Distributed Power Market Trading Mechanism Considering Distributed Power Sources," Advances in Economics, Business and Management Research, in: Zhikai Wang & Qiujing Wu & Songsong Liu & Guoliang Wang & Jia Li (ed.), Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023), pages 402-408, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-344-3_46
    DOI: 10.2991/978-94-6463-344-3_46
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-344-3_46. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.