Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current
Pengwei Wang,
Bingyin Xu (),
Tony Yip,
Dong Liang and
Guofeng Zou
Additional contact information
Pengwei Wang: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Bingyin Xu: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Tony Yip: Kehui International Ltd., Hertfordshire SG137GX, UK
Dong Liang: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Guofeng Zou: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Energies, 2025, vol. 18, issue 1, 1-25
Abstract:
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.
Keywords: tree-related high-impedance earth fault; high-impedance earth fault; waveform morphological difference; fault type identification; wildfire hazard (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/18/1/179/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/1/179/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:1:p:179-:d:1559993
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().