Paper Info
Title
A High-Impedance Fault Detection Method for Distribution Systems Based on Empirical Wavelet Transform and Differential Faulty Energy
Abstract
High-impedance faults (HIFs) pose the greatest challenge for distribution system protection, especially for microgrids and distribution networks with distributed generators (DGs) that have flexible operation modes. This paper analyzes the faulty features of HIFs and proposes a HIF detection method that uses empirical wavelet transform (EWT) and differential faulty energy. The proposed method is as follows. First, the various time-frequency components are obtained by utilizing the EWT to decompose the differential faulty energy and adaptively select the feature component with the largest permutation entropy. Second, the permutation variance index is constructed based on the sample point number and feature component energy, and then it is employed to detect HIFs. Finally, low voltage microgrid simulation tests, medium voltage distribution system integrated by DG simulation tests, and field tests show that the proposed method can correctly distinguish HIFs from normal disturbances, including operation mode switches, load switches, capacitor switches, and DG switches. The advantages of the proposed method are also elaborated in detail, from signal preprocessing and feature extraction.
Year
DOI
Venue
2022
10.1109/TSG.2021.3129315
IEEE Transactions on Smart Grid
Keywords
DocType
Volume
High impedance fault,empirical wavelet transform,differential faulty energy,permutation entropy,permutation variance
Journal
13
Issue
ISSN
Citations 
2
1949-3053
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Jie Gao100.34
Xiaohua Wang21010.40
Xiaowei Wang300.34
Aijun Yang403.38
Huan Yuan500.34
Xiangxiang Wei632.45