DOAJ Open Access 2023

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

Xiaofeng Zeng Wei Gao Gengjie Yang

Abstrak

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.

Topik & Kata Kunci

Energy conservation Energy industries. Energy policy. Fuel trade

Penulis (3)

Xiaofeng Zeng

Wei Gao

Gengjie Yang

Format Sitasi

APA MLA BibTeX

Zeng, X., Gao, W., Yang, G. (2023). High impedance fault detection in distribution network based on S-transform and average singular entropy. https://doi.org/10.1016/j.gloei.2023.02.006

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.1016/j.gloei.2023.02.006
Akses: Open Access ✓