兵工自动化2025，Vol.44Issue(3)：50-54,5.DOI:10.7690/bgzdh.2025.03.011
基于改进狼群算法的含分布式电源的配电网故障定位
Fault Location of Distribution Network with Distributed Generation Based on Improved Wolfpack Algorithm
朱智 1张鑫 2刘凯2
作者信息
- 1. 南京理工大学自动化学院,南京 210000
- 2. 国网山东省电力公司单县供电公司,山东 菏泽 274300
- 折叠
摘要
Abstract
The gray wolf algorithm(grey wolf optimizer,GWO)is easy to fall into the trap of local optimum when it is used for fault location in distribution network with a large number of nodes.The performance of gray wolf algorithm is improved by introducing longicorn whisker algorithm and improving gray wolf algorithm(beetle grey wolf optimizer,BGWO),and a 33-node distribution network is taken as a simulation example to verify the effectiveness of the algorithm.The results show that the algorithm has high reliability and high fault tolerance when locating the fault section in the distribution network with distributed generation.关键词
配电网/故障定位/容错性/改进灰狼算法Key words
distribution network/fault location/fault tolerance/improved gray wolf algorithm分类
信息技术与安全科学引用本文复制引用
朱智,张鑫,刘凯..基于改进狼群算法的含分布式电源的配电网故障定位[J].兵工自动化,2025,44(3):50-54,5.
