AI in arcing-HIF detection: a brief review

In the past few decades, the arcing-high-impedance fault (arcing-HIF) detection problems have become an important issue in the effectively grounded distribution network. Many solutions have been proposed to address this problem. The most attractive way is artificial intelligence (AI) method. The pap...

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Published inIET Smart Grid Vol. 3; no. 4; pp. 435 - 444
Main Author Hao, Bai
Format Journal Article
LanguageEnglish
Published Durham The Institution of Engineering and Technology 01.08.2020
John Wiley & Sons, Inc
Wiley
Subjects
Algorithms
arcing-hif database construction method
arcing-hif detection-based ai algorithm
arcing-high-impedance fault detection problems
arcs (electric)
Artificial intelligence
artificial intelligence method
Asymmetry
B0170N Reliability
B8120J Distribution networks
C6170 Expert systems and other AI software and techniques
C7410B Power engineering computing
classifier selection
Cognition & reasoning
Data acquisition
distribution network-based ai algorithm
Electricity distribution
Energy
fault diagnosis
feature extraction
grounded distribution network
Morphology
power distribution faults
power distribution reliability
power engineering computing
reliability
Simulation
Software
Special Issue: Machine Learning in Power Systems
fault diagnosis
arcing-HIF detection-based AI algorithm
reliability
power distribution faults
arcs (electric)
grounded distribution network
power engineering computing
artificial intelligence
artificial intelligence method
classifier selection
arcing-HIF database construction method
power distribution reliability
feature extraction
distribution network-based AI algorithm
arcing-high-impedance fault detection problems
data acquisition
Online AccessGet full text
ISSN2515-2947
2515-2947
DOI10.1049/iet-stg.2019.0091

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Abstract In the past few decades, the arcing-high-impedance fault (arcing-HIF) detection problems have become an important issue in the effectively grounded distribution network. Many solutions have been proposed to address this problem. The most attractive way is artificial intelligence (AI) method. The paper gives a comprehensive review of arcing-HIF detection in distribution network-based AI. First, characteristics and models of arcing-HIF are analysed, the arcing-HIF database construction method is also explained; this part is a foundation work for arcing-HIF detection. Next, arcing-HIF detection methods based AI are summarised in details including data acquisition, feature extraction and classifier selection. Then, a set of criteria are proposed to evaluate the reliability of arcing-HIF detection algorithm. Finally, the future trends and challenges to arcing-HIF detection are also fully accounted. This review can be a valuable guide for researchers who are interested in arcing-HIF detection-based AI.
AbstractList In the past few decades, the arcing‐high‐impedance fault (arcing‐HIF) detection problems have become an important issue in the effectively grounded distribution network. Many solutions have been proposed to address this problem. The most attractive way is artificial intelligence (AI) method. The paper gives a comprehensive review of arcing‐HIF detection in distribution network‐based AI. First, characteristics and models of arcing‐HIF are analysed, the arcing‐HIF database construction method is also explained; this part is a foundation work for arcing‐HIF detection. Next, arcing‐HIF detection methods based AI are summarised in details including data acquisition, feature extraction and classifier selection. Then, a set of criteria are proposed to evaluate the reliability of arcing‐HIF detection algorithm. Finally, the future trends and challenges to arcing‐HIF detection are also fully accounted. This review can be a valuable guide for researchers who are interested in arcing‐HIF detection‐based AI.
Author Hao, Bai
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  organization: Power Distribution Technology Department, Electric Power Research Institute of China Southern Power Grid, Guangzhou, People's Republic of China
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Issue 4
Keywords fault diagnosis
arcing-HIF detection-based AI algorithm
reliability
power distribution faults
arcs (electric)
grounded distribution network
power engineering computing
artificial intelligence
artificial intelligence method
classifier selection
arcing-HIF database construction method
power distribution reliability
feature extraction
distribution network-based AI algorithm
arcing-high-impedance fault detection problems
data acquisition
Language English
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Snippet In the past few decades, the arcing-high-impedance fault (arcing-HIF) detection problems have become an important issue in the effectively grounded...
In the past few decades, the arcing‐high‐impedance fault (arcing‐HIF) detection problems have become an important issue in the effectively grounded...
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SubjectTerms Algorithms
arcing-hif database construction method
arcing-hif detection-based ai algorithm
arcing-high-impedance fault detection problems
arcs (electric)
Artificial intelligence
artificial intelligence method
Asymmetry
B0170N Reliability
B8120J Distribution networks
C6170 Expert systems and other AI software and techniques
C7410B Power engineering computing
classifier selection
Cognition & reasoning
Data acquisition
distribution network-based ai algorithm
Electricity distribution
Energy
fault diagnosis
feature extraction
grounded distribution network
Morphology
power distribution faults
power distribution reliability
power engineering computing
reliability
Simulation
Software
Special Issue: Machine Learning in Power Systems
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Title AI in arcing-HIF detection: a brief review
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