基于电流相似度与高频能量的串联故障电弧检测方法  

Series arc fault diagnosis method based on current similarity and high-frequency energy

作　　者：王尧[1,2] 田明[1,2] 谢振华 班云升 侯林明 李奎[1,2] Wang Yao;Tian Ming;Xie Zhenhua;Ban Yunsheng;Hou Linming;Li Kui(State Key Laboratory of Reliability and Intelligence of Electrical Equipment,Hebei University of Technology,Tianjin 300130,China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province,Hebei University of Technology,Tianjin 300130,China;Zhengjiang Institute of Mechanical&Electrical Engineering Co.,Ltd.,Hangzhou 310000,China)

机构地区：[1]河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,天津300130 [2]河北工业大学河北省电磁场与电器可靠性重点实验室,天津300130 [3]浙江省机电设计研究院有限公司,杭州310000

出　　处：《电测与仪表》2022年第6期158-165,共8页Electrical Measurement & Instrumentation

基　　金：国家自然科学基金资助项目(51607055);国家留学基金资助项目(201806705021);浙江省自然科学基金资助项目(LGG20E070002)。

摘　　要：故障电弧是引起电气火灾的重要原因,针对非线性负载工况下故障电弧保护算法的误动作和拒动作问题,提出一种基于电流相似度与高频能量的串联故障电弧检测方法。参照标准搭建故障电弧实验平台并进行实验,从时域、频域角度分析电弧电流特征。采用小波函数预处理电流信号,选取电流低、高频特征量。设定故障电弧特征量阈值,以此为基础提出故障电弧识别算法。实验结果表明,该算法能够准确识别多种负载条件下的故障电弧,且未发生误动作和拒动作。Arc fault is an important cause of the electrical fire,aiming at the malfunction and rejection of fault arc protection algorithm under nonlinear load conditions,a series arc fault detection method based on current similarity and high-frequency energy is proposed.Refer to the standard,building an arc fault experimental platform and conducting experiments.Analyze the arc current characteristics from the perspective of time domain and frequency domain.The wavelet function is used to preprocess the current signal,and the characteristic quantities of low and high frequencies are selected.The arc fault characteristic quantity threshold is set,and the arc fault identification algorithm is proposed on this basis.Experimental results show that the algorithm can accurately identify the arc fault under various load conditions,and there is no malfunction and rejection action.

关 键 词：故障电弧 电流相似度 小波能量 故障检测 

分 类 号：TM501.2[电气工程—电器]