LAPSE:2023.28060
Published Article
LAPSE:2023.28060
High-Impedance Fault Diagnosis: A Review
Abdulaziz Aljohani, Ibrahim Habiballah
April 11, 2023
High-impedance faults (HIFs) represent one of the biggest challenges in power distribution networks. An HIF occurs when an electrical conductor unintentionally comes into contact with a highly resistive medium, resulting in a fault current lower than 75 amperes in medium-voltage circuits. Under such condition, the fault current is relatively close in value to the normal drawn ampere from the load, resulting in a condition of blindness towards HIFs by conventional overcurrent relays. This paper intends to review the literature related to the HIF phenomenon including models and characteristics. In this work, detection, classification, and location methodologies are reviewed. In addition, diagnosis techniques are categorized, evaluated, and compared with one another. Finally, disadvantages of current approaches and a look ahead to the future of fault diagnosis are discussed.
Keywords
artificial neural networks, fault detection techniques, fault location techniques, high-impedance fault, Machine Learning, Modelling, signal processing, Stockwell transform, wavelet transform
Suggested Citation
Aljohani A, Habiballah I. High-Impedance Fault Diagnosis: A Review. (2023). LAPSE:2023.28060
Author Affiliations
Aljohani A: Unconventional Resources Engineering and Project Management Department, Saudi Arabian Oil Company (Saudi Aramco), Dhahran 31311, Saudi Arabia
Habiballah I: Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia [ORCID]
Journal Name
Energies
Volume
13
Issue
23
Article Number
E6447
Year
2020
Publication Date
2020-12-05
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13236447, Publication Type: Review
Record Map
Published Article

LAPSE:2023.28060
This Record
External Link

doi:10.3390/en13236447
Publisher Version
Download
Files
[Download 1v1.pdf] (2.6 MB)
Apr 11, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
80
Version History
[v1] (Original Submission)
Apr 11, 2023
 
Verified by curator on
Apr 11, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.28060
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version