计及配电网韧性的储能设备配置规划方法.pdfVIP

内蒙古电力技术 2023 年第 41 卷第 1 期 INNER MONGOLIA ELECTRIC POWER 15 doi: 10.19929/j .cnki.nmgdljs.2023.0003 计及配电网初性的储能设备配置规划方出 温春雪，赵天赐，王 鹏，李建林,周京华 (北方工业大学储能技术工程研究中心，北京100144) 摘要：为了在极端天气灾害频发时，利用储能设备进行供电保护,增强电网韧性，以改进多目标粒子群算法为基础，建立了一种 以网损费用、储能投资成本和韧性指标为优化 目标的储能配置规划模型。在粒子群运行阶段，通过采用主仆模式,增加 序运 行的准确性和快速性，使得电网在遇到极端自然灾害时，能保障重要负荷节点的供电，提升配电网的韧性，并通过Matlab软件 在IEEE33节点拓扑中对该算法■的有效性进行了验证。 关键词:储能设备；多目标优化;韧性指标;主仆模式 文献标志码:A 中图分类号:TM715 文章编号:1008-6218(2023)01-0015-06 Energy Storage Device Configuration Planning Method Considering Distribution Network Toughness WEN Chunxue, ZHAO Tianci, WANG Peng, LI Jianlin, ZHOU Jinghua (Energy Storage Technology Engineering Research Center, North China University of Technology, Beijing 100144, China) Abstract: In order to use energy storage equipment for power supply protection and enhance the toughness of power grid when extreme weather disasters occur frequently, this paper establishes an energy storage configuration planning model based on improved mult - objective particle swarm optimization algorithm, which takes network loss cost, energy storage investment cost and toughness index as optimization objectives. In the particle swarm operation stage, the master-slave mode is adopted to increase the accuracy and speed of the program operation, so that the power supply of important load nodes can be guaranteed and the toughness of the distribution network can be improved in the event of extreme natural disasters. The effectiveness of the algorithm is verified in the IEEE33 node topology with Matlab software. Key words:energy storage equipment; multi-objective optimization; toughness index; master-slave mode 0引言 调峰、调频、缓解阻塞、 电压支撑与无功控制等叫当