| 引用本文: | 曾 君,谭豪杰,刘俊峰,等.基于状态势博弈的微电网能量管理优化算法研究[J].电力系统保护与控制,2025,53(05):24-34.[点击复制] |
| ZENG Jun,TAN Haojie,LIU Junfeng,et al.Research on optimization algorithm of microgrid energy management based on a state potential game[J].Power System Protection and Control,2025,53(05):24-34[点击复制] |
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| 摘要: |
| 有效的能量管理系统是微电网安全、经济运行的关键技术。综合考虑可再生能源出力和需求侧负荷的灵活性，提出一种基于状态势博弈理论的微电网能量管理方法。首先，充分考虑用户侧灵活性资源，将用户负荷分为基础负荷和各柔性负荷，并对微电网内各主体进行建模。然后，以微电网内各元件单元作为独立的决策主体，建立状态势博弈模型。最后，在博弈外层嵌套遗传算法，实现可平移负荷和可转移负荷的周期性约束。仿真结果表明：在保证各主体自主性的前提上，所提方法在很大程度上提高了可再生能源的消纳水平；一定程度上提高了用户用电的经济性，实现了柔性负荷虚拟充放电的功能。与完全势博弈和非博弈方法相比，所提方法更能体现各主体的平等地位，同时通过极小化各主体间的通信量实现了各主体之间的隐私保护。 |
| 关键词: 微电网 状态势博弈 能量管理 柔性负荷 纳什均衡 |
| DOI：10.19783/j.cnki.pspc.240569 |
| 投稿时间：2024-05-09修订日期：2024-11-03 |
| 基金项目:国家自然科学基金项目资助(62173148，52377186)；广东省新型电力系统技术创新研究指南项目资助(1689681989109) |
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| Research on optimization algorithm of microgrid energy management based on a state potential game |
| ZENG Jun1,TAN Haojie1,LIU Junfeng2,ZENG Jingyao1,CHEN Yun3,ZHU Wei3 |
| (1. School of Electric Power, South China University of Technology, Guangzhou 510640, China; 2. School of
Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China;
3. Guangdong Yuedian Huadu Natural Gas Thermal Power Co., Ltd., Guangzhou 510820, China) |
| Abstract: |
| An effective energy management system is a critical technology for the secure and economical operation of microgrids. This paper comprehensively considers the output of renewable energy sources and the flexibility of demand-side loads, and proposes a microgrid energy management method based on a state potential game (SPG). First, user loads are categorized into basic loads and various flexible loads while fully considering the flexible resources on the user side, and models for microgrid entities are developed. Next, an SPG model is established by treating each component unit within the microgrid as an autonomous decision-making entity. Finally, a genetic algorithm is embedded in the outer layer of the SPG to implement periodic constraints on shiftable and transferable loads. Simulation results show that, while ensuring the autonomy of each entity, the proposed method significantly improves the integration of renewable energy and the economic efficiency of electricity consumption for users. Additionally, it enables the virtual charging and discharging of flexible loads. Compared to pure potential games and non-game methods, the proposed method better reflects the equal status of all entities while simultaneously minimizing communication requirements among them to enhance privacy protection. |
| Key words: microgrid state based potential game energy management flexible load Nash equilibrium |
