多目标蝗虫算法在分布式储能优化配置的工程应用研究  

Research on engineering application ofmulti-objective grasshopper optimization algorithm in distributed energy storage optimization configuration

作　　者：彭婧 柴宜 田云飞 徐慧慧 郭凯 PENG Jing;CHAI Yi;TIAN Yunfei;XU Huihui;GUO Kai(Development Division of State Grid Gansu Electeric Power Company,Gansu 730050;Gansu Tongxing Intelligent Technology Development C.Ltd.,Gansu 730050,China)

机构地区：[1]国网甘肃省电力公司发展事业部电源服务中心,甘肃730050 [2]甘肃同兴智能科技发展有限公司,甘肃730050

出　　处：《自动化与仪器仪表》2025年第3期288-294,共7页Automation & Instrumentation

基　　金：甘肃省科技项目(52077018)。

摘　　要：分布式电源和电池储能系统的大量接入是配电网的重要发展趋势之一,如若不能合理地配置配电网中的分布式储能系统将导致电压波动和系统有功损耗升高等后果,严重影响配电网的运行可靠性和经济性。本研究采用多目标蝗虫优化算法解决设定的约束优化问题,通过对分布式电源和电池储能系统进行位置和尺寸分配实现改善电压分布、降低分布式储能系统成本的目标,通过优化电池储能系统的运行策略实现最大化非高峰和高峰时段之间能量传输的目标。提出的多目标蝗虫优化算法分别在33节点和69节点配电系统上进行了测试,从各个方面讨论了Pareto解的优势,并通过对Pareto解进行成本分析确定在高峰负荷时最差电压分布情况下的最佳解决方案。实验结果表明,在33节点和69节点配电系统中,采用多目标蝗虫优化算法后,在峰值负荷时电压分布优化为56.2%和51%、分布式储能系统的成本分别降低51.1%和34%、峰谷时段之间的能量交换分别提高了55.4%和45%。研究结果表明,所提算法能够改善配电网的经济性与稳定性,得到配电网中的分布式储能系统多目标兼顾的最优配置方案。The large-scale access of distributed power supply and battery energy storage system is one of the important development trends of distribution network.If the distributed energy storage system in distribution network is not reasonably configured,it will lead to voltage fluctuation and system active power loss,which will seriously affect the operation reliability and economy of distribution network.In this study,the multi-objective locust optimization algorithm is used to solve the set constraint optimization problem.By assigning the location and size of the distributed power supply and the battery energy storage system,the goal of improving the voltage distribution and reducing the cost of the distributed energy storage system is achieved.By optimizing the operation strategy of the battery energy storage system,the goal of maximizing energy transmission between off-peak and peak periods is achieved.The proposed multi-objective grasshopper optimization algorithm is tested on 33-node and 69-node distribution systems respectively.The advantages of Pareto solution are discussed from various aspects,and the optimal solution under the worst voltage distribution at peak load is determined by cost analysis of Pareto solution.The experimental results show that in the 33-node and 69-node distribution systems,after using the multi-objective locust optimization algorithm,the voltage distribution is optimized to 56.2 % and 51 % at peak load,the cost of distributed energy storage system is reduced by 51.1 % and 34 % respectively,and the energy exchange between peak and valley periods is increased by 55.4 % and 45 % respectively.The research results show that the proposed algorithm can improve the economy,security and stability of the distribution network,and obtain the optimal configuration scheme of the distributed energy storage system in the distribution network with multi-objective consideration.

关 键 词：多目标蝗虫优化算法 分布式电源 配电网规划 电压分布优化 电池储能系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]