High-Impedance Fault Diagnosis: A Review

被引:30
作者
Aljohani, Abdulaziz [1 ]
Habiballah, Ibrahim [2 ]
机构
[1] Saudi Arabian Oil Co Saudi Aramco, Unconvent Resources Engn & Project Management Dep, Dhahran 31311, Saudi Arabia
[2] King Fand Univ Petr & Minerals, Elect Engn Dept, Dhahran 31261, Saudi Arabia
关键词
high-impedance fault; fault detection techniques; fault location techniques; modeling; machine learning; signal processing; artificial neural networks; wavelet transform; Stockwell transform; WAVELET TRANSFORM; PROTECTION SCHEME; LOCATION; CLASSIFICATION; METHODOLOGY; MODEL; WPT;
D O I
10.3390/en13236447
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
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页数:18
相关论文
共 109 条
[1]  
Abdel Aziz M. S., 2011, 2011 8th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2011), P612, DOI 10.1109/DEMPED.2011.6063687
[2]  
Abohagar AA, 2012, 2012 IEEE INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON), P790, DOI 10.1109/PECon.2012.6450324
[3]  
Agarwal R, 2012, PROCEEDINGS OF THE FIRST WORKSHOP ON INFORMATION AND KNOWLEDGE MANAGEMENT FOR DEVELOPING REGION, P1
[4]  
Aljohani A, 2020, IEEE PES INNOV SMART, P222, DOI [10.1109/isgt-europe47291.2020.9248886, 10.1109/ISGT-Europe47291.2020.9248886]
[5]  
Aljohani A, 2018, INT MULTICONF SYST, P94, DOI 10.1109/SSD.2018.8570582
[6]  
Aljouie A., 2019, 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS), P1, DOI [DOI 10.1109/ICCAD46983.2019.9037950, 10.1109/ICDS47004.2019, DOI 10.1109/ICDS47004.2019]
[7]  
[Anonymous], 2013, SMART GRID RENEWABLE, DOI DOI 10.4236/SGRE.2013.43036
[8]   High impedance fault protection scheme for smart grids based on WPT and ELM considering evolving and cross-country faults [J].
AsghariGovar, Saeed ;
Pourghasem, Pouya ;
Seyedi, Heresh .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 107 :412-421
[9]   High impedance fault location in 11 kV underground distribution systems using wavelet transforms [J].
Bakar, A. H. A. ;
Ali, M. S. ;
Tan, ChiaKwang ;
Mokhlis, H. ;
Arof, H. ;
Illias, H. A. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 55 :723-730
[10]   High impedance fault detection methodology using wavelet transform and artificial neural networks [J].
Baqui, Ibrahem ;
Zamora, Inmaculada ;
Mazon, Javier ;
Buigues, Garikoitz .
ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (07) :1325-1333