IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-16-9360-1_12.html
   My bibliography  Save this book chapter

Credit-Based P2P Electricity Trading in Energy Blockchain Environment

In: Smart Energy Management

Author

Listed:
  • Kaile Zhou

    (Hefei University of Technology)

  • Lulu Wen

    (Hefei University of Technology)

Abstract

Peer-to-peer (P2P) electricity trading promotes the local consumption of renewable energy. However, it suffers from high transaction costs and mutual distrust among users. To address these issues, we provide a credit-based P2P electricity trading model in a blockchain environment. First, the P2P electricity trading process is introduced, which involves six stages: order generation, default query, order picking, trading execution, trading verification, and payment. Credit management is also introduced in this model to manage the default behavior of users. In particular, the default users are provided a waiting time in the default query stage or penalized in the payment stage. Finally, the model is simulated on the Hyperledger Fabric platform using Docker and Go. Experimental results show that the presented model can facilitate cost reduction for users in the blockchain and realize credit management in P2P electricity trading, thereby enhancing trading stability and efficiency.

Suggested Citation

  • Kaile Zhou & Lulu Wen, 2022. "Credit-Based P2P Electricity Trading in Energy Blockchain Environment," Springer Books, in: Smart Energy Management, chapter 0, pages 287-310, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-9360-1_12
    DOI: 10.1007/978-981-16-9360-1_12
    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 search for a similarly titled item that would be available.

    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:spr:sprchp:978-981-16-9360-1_12. 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.