Coalition Energy Management Strategy for Multi-Agent Integrated Energy Microgrid Cluster Based on Cooperative Game and Gaussian Mixture Clustering
Collaborative Optimization of Microgrid and Source Grid Load Storage|更新时间:2025-10-11
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Coalition Energy Management Strategy for Multi-Agent Integrated Energy Microgrid Cluster Based on Cooperative Game and Gaussian Mixture Clustering
“Against the backdrop of the "dual carbon target", China's energy market reform is deepening, and a distributed multi energy market is gradually forming. Experts have proposed a multi-agent comprehensive energy microgrid alliance energy management strategy based on cooperative game theory and Gaussian mixture clustering, which significantly reduces microgrid operating costs, improves system operating efficiency, and maximizes alliance benefits.”
Southern Power System TechnologyVol. 19, Issue 4, Pages: 63-77(2025)
作者机构:
1.国网上海市电力公司电力科学研究院, 上海 200437
2.上海电力大学电气工程学院, 上海 200090
作者简介:
基金信息:
the National Natural Science Foundation of China(U2066214);the Science and Technology Project of State Grid Shanghai Electric Power Company(520940220006)
SHI Shanshan,ZHANG Zhiquan,FANG Chen,et al.Coalition Energy Management Strategy for Multi-Agent Integrated Energy Microgrid Cluster Based on Cooperative Game and Gaussian Mixture Clustering[J].Southern Power System Technology,2025,19(04):63-77.
SHI Shanshan,ZHANG Zhiquan,FANG Chen,et al.Coalition Energy Management Strategy for Multi-Agent Integrated Energy Microgrid Cluster Based on Cooperative Game and Gaussian Mixture Clustering[J].Southern Power System Technology,2025,19(04):63-77. DOI: 10.13648/j.cnki.issn1674-0629.2025.04.006.
Coalition Energy Management Strategy for Multi-Agent Integrated Energy Microgrid Cluster Based on Cooperative Game and Gaussian Mixture Clustering