机械与电子2025，Vol.43Issue(7)：24-29,6.
基于数据-物理融合的单相接地故障诊断方法
A Single-phase Grounding Fault Location Method Based on Data-physics Integration
摘要
Abstract
To solve the problem of frequent single-phase grounding faults and difficulty in accurately locating the fault occurrence section,a method based on data-physics integration two-stage location of single-phase grounding faults was proposed.Firstly,according to the research and judgment process of centralized feeder automation(FA),the improved Extreme Learning Machine(ELM)algorithm was used to improve the FA fault identification and analysis ability.Then,the load value of each distribution trans-former at the time of fault occurrence was predicted,and the load proportion of each switch was obtained by accumulating.Subsequently,the load drop of the feeder and the proportion of the load of each switch were compared when the fault occurs,and the fault section was located.Finally,combined with the results of the two stages,the final fault location was determined and isolated.Through simulation verification,it is shown that the proposed method can effectively improve the accuracy of judging and isolating single-phase grounding faults.关键词
单相接地故障/集中型FA/故障诊断/负荷预测/极限学习机Key words
single-phase ground fault/centralized FA/fault judgment/load forecasting/extreme learn-ing machine分类
信息技术与安全科学引用本文复制引用
张小勇,李自乾,韩敏,夏旺,黄维成..基于数据-物理融合的单相接地故障诊断方法[J].机械与电子,2025,43(7):24-29,6.基金项目
国网甘肃省电力公司科技项目(52270923000A) （52270923000A）
