电测与仪表2024，Vol.61Issue(4)：15-20,6.DOI:10.19753/j.issn1001-1390.2024.04.003
基于5G的配电网智能故障诊断方法
Intelligent fault diagnosis method of distribution network based on 5G
摘要
Abstract
Distribution network is the place with the most short circuit faults and low degree of intelligence.At present,the zero-sequence current amplitude comparison method is mainly used for fault diagnosis of grounding fault,but there are some problems such as low recognition rate of non-grounding fault and unable to identify quickly.5G communication tech-nology is adopted,three-sequence composite current detection method is proposed,and generalized regression neural net-work(GRNN)is combined to realize real-time transmission and rapid decision-making of fault diagnosis in distribution network.The test results show that the recognition rate of non-grounding fault can be improved by more than 20％,which solves the problems of unreliable communication and low intelligent fault diagnosis.关键词
5G/GRNN/三序复合电流检测法/配电网/故障诊断Key words
5G/GRNN/three-sequence composite current detection method/distribution network/fault diagnosis分类
信息技术与安全科学引用本文复制引用
闫明,郭文豪,胡永乐,覃团发..基于5G的配电网智能故障诊断方法[J].电测与仪表,2024,61(4):15-20,6.基金项目
国家自然科学基金资助项目(61563004,61761007) （61563004,61761007）
广西研究生教育创新计划资助项目(YCSW2020061) （YCSW2020061）
