Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current
To address the challenge of accurately identifying tree-related high-impedance earth faults (THIEFs), a method based on long-term fluctuations in zero-sequence current is proposed. The analysis of the recorded data from staged tests in a real test network reveals the development patterns of THIEFs a...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/1/179 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841549232665788416 |
|---|---|
| author | Pengwei Wang Bingyin Xu Tony Yip Dong Liang Guofeng Zou |
| author_facet | Pengwei Wang Bingyin Xu Tony Yip Dong Liang Guofeng Zou |
| author_sort | Pengwei Wang |
| collection | DOAJ |
| description | To address the challenge of accurately identifying tree-related high-impedance earth faults (THIEFs), a method based on long-term fluctuations in zero-sequence current is proposed. The analysis of the recorded data from staged tests in a real test network reveals the development patterns of THIEFs and their zero-sequence characteristics during the fault process. It was found that, over an extended duration, the fluctuation characteristics of the zero-sequence current RMS value curves for THIEFs differ significantly from those of the other types of high-impedance earth faults (HIEFs). By applying approximate arc length parameterization, the RMS value curve is standardized. The curvature standard deviation, the average curvature variation rate, and its standard deviation are used as feature parameters. An identification method based on an improved grey wolf optimization probabilistic neural network is constructed. Validation with staged test results demonstrates that the proposed method achieves a success rate of 97.5%, accurately distinguishing THIEFs from other types of HIEF. |
| format | Article |
| id | doaj-art-d5dcd17dff5b496c80fa1d2fb8c8c739 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-d5dcd17dff5b496c80fa1d2fb8c8c7392025-01-10T13:17:20ZengMDPI AGEnergies1996-10732025-01-0118117910.3390/en18010179Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence CurrentPengwei Wang0Bingyin Xu1Tony Yip2Dong Liang3Guofeng Zou4School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, ChinaSchool of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, ChinaKehui International Ltd., Hertfordshire SG137GX, UKSchool of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, ChinaSchool of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, ChinaTo address the challenge of accurately identifying tree-related high-impedance earth faults (THIEFs), a method based on long-term fluctuations in zero-sequence current is proposed. The analysis of the recorded data from staged tests in a real test network reveals the development patterns of THIEFs and their zero-sequence characteristics during the fault process. It was found that, over an extended duration, the fluctuation characteristics of the zero-sequence current RMS value curves for THIEFs differ significantly from those of the other types of high-impedance earth faults (HIEFs). By applying approximate arc length parameterization, the RMS value curve is standardized. The curvature standard deviation, the average curvature variation rate, and its standard deviation are used as feature parameters. An identification method based on an improved grey wolf optimization probabilistic neural network is constructed. Validation with staged test results demonstrates that the proposed method achieves a success rate of 97.5%, accurately distinguishing THIEFs from other types of HIEF.https://www.mdpi.com/1996-1073/18/1/179tree-related high-impedance earth faulthigh-impedance earth faultwaveform morphological differencefault type identificationwildfire hazard |
| spellingShingle | Pengwei Wang Bingyin Xu Tony Yip Dong Liang Guofeng Zou Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current Energies tree-related high-impedance earth fault high-impedance earth fault waveform morphological difference fault type identification wildfire hazard |
| title | Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current |
| title_full | Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current |
| title_fullStr | Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current |
| title_full_unstemmed | Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current |
| title_short | Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current |
| title_sort | identification of tree related high impedance earth faults based on long term fluctuations in zero sequence current |
| topic | tree-related high-impedance earth fault high-impedance earth fault waveform morphological difference fault type identification wildfire hazard |
| url | https://www.mdpi.com/1996-1073/18/1/179 |
| work_keys_str_mv | AT pengweiwang identificationoftreerelatedhighimpedanceearthfaultsbasedonlongtermfluctuationsinzerosequencecurrent AT bingyinxu identificationoftreerelatedhighimpedanceearthfaultsbasedonlongtermfluctuationsinzerosequencecurrent AT tonyyip identificationoftreerelatedhighimpedanceearthfaultsbasedonlongtermfluctuationsinzerosequencecurrent AT dongliang identificationoftreerelatedhighimpedanceearthfaultsbasedonlongtermfluctuationsinzerosequencecurrent AT guofengzou identificationoftreerelatedhighimpedanceearthfaultsbasedonlongtermfluctuationsinzerosequencecurrent |