可再生能源2024，Vol.42Issue(4)：538-545,8.
基于改进GSA-GWO算法的含分布式电源局部电网孤岛划分策略
Island partition strategy of local power grid with distributed generation based on improved GSA-GWO algorithm
摘要
Abstract
In order to further improve the efficiency and reliability of the local power grid in the process of fault recovery,this paper proposes an island partition strategy of local power grid with distributed generation based on improved GSA-GWO algorithm.Firstly,the optimal-worst method is used to evaluate the load to obtain the load weight value,so as to determine the priority of island division of important load restoration under local power grid fault.Secondly,combined with the load priority,the load level weight coefficient is determined,and the objective function model of island division of local power grid with distributed generation is constructed.Then,in order to obtain better objective function solution results,chaotic reverse learning and genetic annealing algorithm(GSA)are introduced to improve the grey wolf optimization algorithm(GWO)to improve the optimization performance of the algorithm.Finally,the modified IEEE 69 node is taken as an example for simulation analysis.The improved GSA-GWO algorithm is used to solve the local distribution network fault model,and a better islanding result is obtained.The example analysis shows that the strategy proposed in this paper can accurately realize the optimal strategy of island division under local grid fault,ensure the restoration of power supply of important loads,and verify the effectiveness and superiority of the strategy.关键词
局部电网/分布式电源/孤岛划分/恢复供电Key words
local power grid/distributed power system/island partition/power supply restored分类
能源与动力引用本文复制引用
张丹,赛翔羽,曾丕江,武明康,瞿佳刘..基于改进GSA-GWO算法的含分布式电源局部电网孤岛划分策略[J].可再生能源,2024,42(4):538-545,8.基金项目
云南电网公司科技项目(YNKJXM20220025) （YNKJXM20220025）
国家重点研发计划项目(2022YFB2403505). （2022YFB2403505）
