基于合作博弈和高斯混合聚类的多主体综合能源微网群联盟能量管理策略
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时珊珊
1
,
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张智泉
2
,
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方陈
1
,
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李振坤
2
,
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刘舒
1
,
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王皓靖
1
,
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陈晓杰
2
作者信息
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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
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张智泉(1984), 男, 通信作者, 讲师, 博士, 研究方向为电力系统分析运行和电力系统智能技术, zzhiquan@126. com;
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方陈(1983), 男, 高级工程师, 博士, 研究方向为电力系统分析、运行与控制, fangc02@139. com。
|
收起
Coalition Energy Management Strategy for Multi-Agent Integrated Energy Microgrid Cluster Based on Cooperative Game and Gaussian Mixture Clustering
Author information
+
1.Electric Power Science Research Institute, State Grid Shanghai Electric Power Company, Shanghai 200437, China
2.School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
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文章历史
+
| 收稿日期 |
出版日期 |
| 2023-09-09 |
2025-04-20 |
PDF (4027K)
摘要
“双碳目标”下随着我国能源市场的深化改革及分布式多能市场的逐渐形成,综合电源微网及其群落也将出现于用户侧。相邻微网互联构成的微网集群是一个综合能量系统,受多能强相互作用耦合、复杂的博弈决策关系和能量源荷不确定性等诸多因子的共同作用,因此该类综合能量体系的能量机制复杂,管理方案制定困难度较大。基于此,提出了一种基于合作博弈和高斯混合聚类的多主体综合能源微网群联盟能量管理策略。通过仿真算例分析可知,所提方法显著降低了各微网的运行成本,对于每个微网而言最高可达24 %,从而提升了整个微网系统的运行效率,实现了联盟效益的最大化,此外,较高源荷预测误差对各主体及联盟的运行成本影响小于3 %。
Abstract
Under the "dual carbon goal", with the deepening reform of China's energy market and the gradual formation of the distributed multi-energy market, the integrated power microgrid and its community appear on the user side. The microgrid cluster formed by the interconnection of adjacent microgrids is a multi-energy comprehensive energy system, which is jointly affected by many factors such as multi-energy interaction and coupling, complex game decision relations and uncertainty of energy sources and loads. Therefore, the energy mechanism of this kind of comprehensive energy system is complex, and the management scheme formulation is difficult. On the basis, a multi-agent comprehensive energy microgrid group alliance energy management strategy is proposed based on cooperative game and Gaussian mixture clustering. Through simulation example analysis, it can be seen that the proposed method significantly reduces the operating costs of various microgrids, up to 24 % for each microgrid, thus improving the operating efficiency of the entire microgrid system and maximizing the benefits of the alliance. The influence of higher source load prediction errors on the operating cost of each agent and alliance are less than 3 %.
Graphical abstract
关键词
综合能源微网群
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高斯混合聚类
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联盟
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合作博弈
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能量管理
Key words
integrated energy microgrid cluster
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Gaussian mixture clustering
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coalition
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cooperative game
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energy management
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时珊珊,张智泉,方陈,李振坤,刘舒,王皓靖,陈晓杰.
基于合作博弈和高斯混合聚类的多主体综合能源微网群联盟能量管理策略[J].
南方电网技术, 2025, 19(4): 63-77 DOI:10.13648/j.cnki.issn1674-0629.2025.04.006
基金资助
国家自然科学基金资助项目(U2066214)
国网上海市电力公司科技项目(520940220006)