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首页|期刊导航|中国电机工程学会电力与能源系统学报(英文版)|Distribution Network Fault Diagnosis Based on Hybrid Model and Data-driven Approach with Grey Wolf Hunting and Spatial Contraction Strategy

Distribution Network Fault Diagnosis Based on Hybrid Model and Data-driven Approach with Grey Wolf Hunting and Spatial Contraction Strategy

Miaomiao Zhou Mengshi Li Haiting Shan Q.H.Wu

中国电机工程学会电力与能源系统学报(英文版)2026,Vol.12Issue(3):1448-1457,10.
中国电机工程学会电力与能源系统学报(英文版)2026,Vol.12Issue(3):1448-1457,10.DOI:10.17775/CSEEJPES.2024.03930

Distribution Network Fault Diagnosis Based on Hybrid Model and Data-driven Approach with Grey Wolf Hunting and Spatial Contraction Strategy

Distribution Network Fault Diagnosis Based on Hybrid Model and Data-driven Approach with Grey Wolf Hunting and Spatial Contraction Strategy

Miaomiao Zhou 1Mengshi Li 1Haiting Shan 1Q.H.Wu1

作者信息

  • 1. School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China
  • 折叠

摘要

关键词

Distribution network/fault classification/fault diagnosis/fault location/grey wolf optimisation

Key words

Distribution network/fault classification/fault diagnosis/fault location/grey wolf optimisation

引用本文复制引用

Miaomiao Zhou,Mengshi Li,Haiting Shan,Q.H.Wu..Distribution Network Fault Diagnosis Based on Hybrid Model and Data-driven Approach with Grey Wolf Hunting and Spatial Contraction Strategy[J].中国电机工程学会电力与能源系统学报(英文版),2026,12(3):1448-1457,10.

基金项目

This work was supported in part by the Basic Research Plan Basic and Applied Basic Research Project of Guangzhou(No.202201010752). (No.202201010752)

中国电机工程学会电力与能源系统学报(英文版)

2096-0042

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