东北电力技术2025，Vol.46Issue(1)：1-5,5.
基于改进K-means聚类算法的分布式储能集群划分方法
Distributed Energy Storage Cluster Partitioning Method Based on Improved K-means Clustering Algorithm
摘要
Abstract
With the access of large-scale distributed power supply and energy storage,the problems of power backflow and node over-voltage in the distribution network are more significant,which have a certain impact on the grid planning,operation monitoring and scheduling control,and is not conducive to the large-scale development of energy storage.Therefore,it proposes a cluster partitioning method suitable for large-scale distributed energy storage,and an electrical distance modularity index based on voltage sensitivity of power nodes.It improves the classical K-means algorithm,and designs the node index method and elbow rule to optimize the selection of initial cluster centers and the determination of cluster number.It verifies the algorithm by an example of IEEE33 system.The re-sults show that the proposed cluster partitioning method has strong electrical coupling,accuracy and operation efficiency.关键词
分布式储能/集群划分/配电网结构/K-means聚类算法/划分指标Key words
distributed energy storage/cluster partitioning/distribution network structure/K-means clustering algorithm/dividing in-dicators分类
信息技术与安全科学引用本文复制引用
刘春雨..基于改进K-means聚类算法的分布式储能集群划分方法[J].东北电力技术,2025,46(1):1-5,5.基金项目
上海市科技支撑碳达峰碳中和专项(22dz1206800) （22dz1206800）
上海市优秀学术/技术带头人计划项目(22XD1431100) （22XD1431100）
