Research on Charging and Storage Trading Mechanism of Park Source Network Based on Multi-Agent Cooperative Game

With the continuous expansion of energy marketization, the demand of users to participate in energy marketization transactions continues to increase, which puts forward new requirements for the development of Integrated energy system. In order to solve the problem of conflict of interests of different decision-making bodies in IES, this paper first constructs a typical IES source network load and storage equipment model. Based on the operation mode of IES participating in the power market, a multi-agent transaction model of the park in the power market is constructed and solved. Finally, the proposed multi-agent cooperative game method is verified by simulation examples. The results show that after adjusting the market energy price for many times, all the aggregators can save about 30% of the cost. The proposed optimization scheme can effectively promote the multi-body cooperative alliance of source network load and storage in the park, and improve energy utilization efficiency and economic benefit.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/sgai64825.2025.11009308
Primary Topic
Sharing Economy and Platforms
Type
article
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article

Research on Charging and Storage Trading Mechanism of Park Source Network Based on Multi-Agent Cooperative Game

Zhenlan Dou, Ran Lv, Chunyan Zhang, Su Wang et al.
Sharing Economy and Platforms
article

Research on Charging and Storage Trading Mechanism of Park Source Network Based on Multi-Agent Cooperative Game

Zhenlan Dou, Ran Lv, Chunyan Zhang, Su Wang, Mingxing Guo, Chen Fu, Baihan Zhang
article en

Abstract

With the continuous expansion of energy marketization, the demand of users to participate in energy marketization transactions continues to increase, which puts forward new requirements for the development of Integrated energy system. In order to solve the problem of conflict of interests of different decision-making bodies in IES, this paper first constructs a typical IES source network load and storage equipment model. Based on the operation mode of IES participating in the power market, a multi-agent transaction model of the park in the power market is constructed and solved. Finally, the proposed multi-agent cooperative game method is verified by simulation examples. The results show that after adjusting the market energy price for many times, all the aggregators can save about 30% of the cost. The proposed optimization scheme can effectively promote the multi-body cooperative alliance of source network load and storage in the park, and improve energy utilization efficiency and economic benefit.

Nanchang University (CN)
Openalex Percentile: Top 85%
Sharing Economy and Platforms
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Research on Charging and Storage Trading Mechanism of Park Source Network Based on Multi-Agent Cooperative Game — Zhenlan Dou, Ran Lv, et al. · (2025) | TGRS Research Map | TGRS