电力系统保护与控制2025，Vol.53Issue(5)：24-34,11.DOI:10.19783/j.cnki.pspc.240569
基于状态势博弈的微电网能量管理优化算法研究
Research on optimization algorithm of microgrid energy management based on a state potential game
摘要
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.关键词
微电网/状态势博弈/能量管理/柔性负荷/纳什均衡Key words
microgrid/state based potential game/energy management/flexible load/Nash equilibrium引用本文复制引用
曾君,谭豪杰,刘俊峰,曾婧瑶,陈云,朱威..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(5):24-34,11.基金项目
This work is supported by the National Natural Science Foundation of China(No.62173148 and No.52377186). 国家自然科学基金项目资助(62173148,52377186) （No.62173148 and No.52377186）
广东省新型电力系统技术创新研究指南项目资助(1689681989109) （1689681989109）
