High impedance fault detection in distribution network based on S-transform and average singular entropy  

作　　者：Xiaofeng Zeng Wei Gao Gengjie Yang 

机构地区：[1]College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,P.R.China

出　　处：《Global Energy Interconnection》2023年第1期64-80,共17页全球能源互联网（英文版）

基　　金：financial supported by the Natural Science Foundation of Fujian,China(2021J01633).

摘　　要：When a high impedance fault(HIF)occurs in a distribution network,the detection efficiency of traditional protection devices is strongly limited by the weak fault information.In this study,a method based on S-transform(ST)and average singular entropy(ASE)is proposed to identify HIFs.First,a wavelet packet transform(WPT)was applied to extract the feature frequency band.Thereafter,the ST was investigated in each half cycle.Afterwards,the obtained time-frequency matrix was denoised by singular value decomposition(SVD),followed by the calculation of the ASE index.Finally,an appropriate threshold was selected to detect the HIFs.The advantages of this method are the ability of fine band division,adaptive time-frequency transformation,and quantitative expression of signal complexity.The performance of the proposed method was verified by simulated and field data,and further analysis revealed that it could still achieve good results under different conditions.

关 键 词：High impedance fault(HIF) Wavelet packet transform(WPT) S-transform(ST) Singular entropy(SE) 

分 类 号：TM73[电气工程—电力系统及自动化]