全球能源互联网（英文）2023，Vol.6Issue(1)：64-80,17.DOI:10.1016/j.gloei.2023.02.006
基于S变换和平均奇异熵的配电网高阻故障检测
High impedance fault detection in distribution network based on S-transform and average singular entropy
摘要
Abstract
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
高阻接地故障/小波包变换/S变换/奇异熵Key words
High impedance fault (HIF)/Wavelet packet transform (WPT)/S-transform (ST)/Singular entropy (SE)引用本文复制引用
曾肖枫,高伟,杨耿杰..基于S变换和平均奇异熵的配电网高阻故障检测[J].全球能源互联网（英文）,2023,6(1):64-80,17.基金项目
This work is financial supported by the Natural Science Foundation of Fujian,China(2021J01633). （2021J01633）
