Distributed Energy Storage Cluster Partitioning Method Based on Improved K-means Clustering Algorithm
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.
distributed energy storagecluster partitioningdistribution network structureK-means clustering algorithmdividing in-dicators
万方数据
维普
