基于多目标粒子群的农村微电网源网荷储协同优化运行  

A Study on Collaborative Optimization Operation of Source,Grid,Load,and Storage in Rural Microgrids Based on Multi-Objective Particle Swarms

作　　者：张志远 武永军 李熙钦 周莉梅 赵虎 王承民[3] ZHANG Zhiyuan;WU Yongjun;LI Xiqin;ZHOU Limei;ZHAO Hu;WANG Chengmin(State Grid Beijing Mentougou Power Supply Company,Beijing 102300,China;China Electric Power Research Institute Co.,Ltd.,Beijing 100192,China;Department of Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]国网北京门头沟供电公司,北京102300 [2]中国电力科学研究院有限公司,北京100192 [3]上海交通大学电气工程系,上海200240

出　　处：《电网与清洁能源》2025年第4期113-119,127,共8页Power System and Clean Energy

基　　金：国家重点研发计划(2020YFB2104500);国网北京市电力公司重点科技攻关项目(52021021002D)。

摘　　要：为提升含分布式电源的农村微电网运行稳定性,对基于多目标粒子群算法的农村微电网源网荷储多目标优化方法进行研究。以最小网络损耗、最小电压偏移量与最大能源利用率等为目标函数,结合分布式电源出力、农村微电网运行以及储能等约束条件,建立了含分布式电源的农村微电网源网荷储多目标优化模型;在多目标粒子群算法内,引入了ε-支配关系的网格向量修剪策略以加快算法收敛效率;基于华北地区某农村实际微电网进行仿真分析,证明所提优化方法可有效降低农村微电网的网络损耗、电压偏移量,提升了能源利用率。To enhance the operation stability of rural microgrids with distributed power sources,a multi-objective optimization method of source-load-storage in rural microgrids using a multi-objective particle swarm algorithm has been investigated.Taking the minimum network loss,minimum voltage offset and maximum energy utilization rate as the objective function,combined with the constraints of distributed power output,rural microgrid operation and energy storage,a multi-objective optimization model of source,load and storage of rural microgrid with distributed power sources is established.The multi-objective particle swarm algorithm incorporates a grid vector pruning strategy based on theε-dominance relationship to accelerate the convergence efficiency of the algorithm.Ultimately,by applying the proposed optimization method to an actual rural microgrid in Northern China,it is demonstrated that the method effectively reduces network losses and voltage deviation while enhancing energy utilization in rural microgrids.

关 键 词：多目标粒子群 分布式光伏 农村微电网 源网荷储 多目标优化 修剪策略 

分 类 号：TM862[电气工程—高电压与绝缘技术]