Microgrid optimisation: blockchain-enabled peer-to-peer energy trading

Cheng Sun, Zhengtian Wu, Zhengang Zhu and Baoping Jiang

Cyber-Physical Systems, 2025, vol. 11, issue 3, 325-346

Abstract: Microgrids efficiently integrate renewable energy sources, supporting green and sustainable energy goals. However, with the widespread adoption of renewable energy, microgrids encounter new challenges in energy management. This paper proposes a blockchain-based P2P energy trading market for microgrids, along with a coordinated trading mechanism for optimal energy trading and scheduling. To ensure transaction fulfilment, market stability, and incentivise participation, a compliance trading deposit mechanism is introduced. Simulation results demonstrate that this approach effectively facilitates P2P energy trading and significantly reduces energy imbalances within microgrids.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23335777.2024.2394786 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tcybxx:v:11:y:2025:i:3:p:325-346

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tcyb20

DOI: 10.1080/23335777.2024.2394786

Access Statistics for this article

Cyber-Physical Systems is currently edited by Yang Xiao

More articles in Cyber-Physical Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().