Distributed Generation Cluster Partitioning Method Based on LG WO Improved K-means Algorithm
With the access of large-scale distributed power supply,the traditional centralized-control distribution net-work encounters issues including communication delays,heavy computational loads,and an overabundance of control e-quipment.However,the distributed generation group control technology,which is based on cluster partitioning,can ef-fectively address these challenges.Existing cluster partitioning methods exhibit deficiencies in both cluster partitioning index and cluster partitioning algorithm,so we propose a new cluster partitioning method considering cluster size.First-ly,we propose a comprehensive index system for cluster partitioning,which considers electrical distance,cluster power balance and cluster scale.This ensures that the cluster maintains a certain voltage regulation ability and structural strength of the cluster.Secondly,we use the grey wolf optimization algorithm embedded with Levy flight optimization strategy to improve the K-means algorithm and apply it to cluster partitioning.Finally,we verify the feasibility and ef-fectiveness of the proposed method by the actual 35 kV/10 kV distribution network.This serves as a valuable reference for the partitioning of distributed generation clusters.
gray wolf optimization algorithmLevy flightK-means algorithmdistributed generationcluster partition
万方数据
维普
