Peer-to-peer energy trading optimization for community prosumers considering carbon cap-and-trade

Chun Wu, Xingying Chen, Haochen Hua, Kun Yu, Lei Gan, Jun Shen and Yi Ding

Applied Energy, 2024, vol. 358, issue C, No S030626192301975X

Abstract: With the increasing penetration of distributed renewable energy, prosumers, a kind of customers capable of producing power, are able to share the information of the power consumption and the power price in a community, which evolves into an energy trading between producers and consumers over time. In this paper, considering the benefit conflict whether paying for the power from green power market, or suffering the cost from electricity market together with carbon market due to the carbon cap, a game-theoretic approach is proposed for the prosumers, who have to face the carbon emission constraints, in order to optimize their own utility with an energy trading in a community. It is considered that producers provide the optimal power price for the consumers based on the non-cooperative game, then the consumers decide which producer to purchase power from according to the evolutionary game, afterwards the interaction between the producers and the consumers are analysed in terms of the Stackelberg game. The low-carbon energy trading process in a community is solved with a mixed integer programming method based on the equilibrium of the games. Simulations show that the proposed approach is able to significantly improve the utility of the prosumers in the community.

Keywords: Energy trading; Community prosumers; Carbon emission; Pricing competition (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626192301975X
Full text for ScienceDirect subscribers only

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:eee:appene:v:358:y:2024:i:c:s030626192301975x

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2023.122611

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().