Novel wide-area fault location and predictive maintenance technique for distribution system

Locating faults in a power network has been a common chore for utility personnel. However, with the increasing demand in consumer expectations nowadays, fault location time needs to be shortened so that supply can be restored as soon as possible. Considerable amount of time can be saved if an automa...

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Main Authors: Tan C.K., Ramachandaramurthy V.K.
Other Authors: 55921560400
Format: Article
Published: John Wiley and Sons Inc. 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-304232023-12-29T15:47:41Z Novel wide-area fault location and predictive maintenance technique for distribution system Tan C.K. Ramachandaramurthy V.K. 55921560400 6602912020 Fault location Power quality Predictive maintenance Wide-area monitoring Automation Electric fault location Electric power transmission Maintenance Power quality Capital expenditures Consumer expectations Distribution network Distribution systems Fault location algorithms Monitoring device Power networks Predictive maintenance Radial distribution systems Transmission systems Wide area Wide area monitoring Algorithms Locating faults in a power network has been a common chore for utility personnel. However, with the increasing demand in consumer expectations nowadays, fault location time needs to be shortened so that supply can be restored as soon as possible. Considerable amount of time can be saved if an automated mechanism is available to direct the repair crew to the region of fault. Transmission system has already adopted the automated fault location algorithm in their relay. However, implementing such an approach in wide-area distribution network would require huge capital expenditure and resources. This paper presents a reliable, automated fault location algorithm within a wide-area distribution network using a limited number of monitoring devices. In addition, the proposed algorithm is also capable of offering a means of predictive maintenance strategy for the utilities. The algorithm is able to identify the faulted branches in a radial distribution system with high accuracy. In most cases, the calculated fault location is very close to the actual one. This algorithm has also overcome the drawbacks of existing techniques for automated fault location in wide-area distribution network. � 2011 Institute of Electrical Engineers of Japan. Final 2023-12-29T07:47:41Z 2023-12-29T07:47:41Z 2012 Article 10.1002/tee.21710 2-s2.0-84856246276 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856246276&doi=10.1002%2ftee.21710&partnerID=40&md5=af2d6f47e025a09ee96dbc2fcad9b885 https://irepository.uniten.edu.my/handle/123456789/30423 7 2 152 160 John Wiley and Sons Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Fault location
Power quality
Predictive maintenance
Wide-area monitoring
Automation
Electric fault location
Electric power transmission
Maintenance
Power quality
Capital expenditures
Consumer expectations
Distribution network
Distribution systems
Fault location algorithms
Monitoring device
Power networks
Predictive maintenance
Radial distribution systems
Transmission systems
Wide area
Wide area monitoring
Algorithms
spellingShingle Fault location
Power quality
Predictive maintenance
Wide-area monitoring
Automation
Electric fault location
Electric power transmission
Maintenance
Power quality
Capital expenditures
Consumer expectations
Distribution network
Distribution systems
Fault location algorithms
Monitoring device
Power networks
Predictive maintenance
Radial distribution systems
Transmission systems
Wide area
Wide area monitoring
Algorithms
Tan C.K.
Ramachandaramurthy V.K.
Novel wide-area fault location and predictive maintenance technique for distribution system
description Locating faults in a power network has been a common chore for utility personnel. However, with the increasing demand in consumer expectations nowadays, fault location time needs to be shortened so that supply can be restored as soon as possible. Considerable amount of time can be saved if an automated mechanism is available to direct the repair crew to the region of fault. Transmission system has already adopted the automated fault location algorithm in their relay. However, implementing such an approach in wide-area distribution network would require huge capital expenditure and resources. This paper presents a reliable, automated fault location algorithm within a wide-area distribution network using a limited number of monitoring devices. In addition, the proposed algorithm is also capable of offering a means of predictive maintenance strategy for the utilities. The algorithm is able to identify the faulted branches in a radial distribution system with high accuracy. In most cases, the calculated fault location is very close to the actual one. This algorithm has also overcome the drawbacks of existing techniques for automated fault location in wide-area distribution network. � 2011 Institute of Electrical Engineers of Japan.
author2 55921560400
author_facet 55921560400
Tan C.K.
Ramachandaramurthy V.K.
format Article
author Tan C.K.
Ramachandaramurthy V.K.
author_sort Tan C.K.
title Novel wide-area fault location and predictive maintenance technique for distribution system
title_short Novel wide-area fault location and predictive maintenance technique for distribution system
title_full Novel wide-area fault location and predictive maintenance technique for distribution system
title_fullStr Novel wide-area fault location and predictive maintenance technique for distribution system
title_full_unstemmed Novel wide-area fault location and predictive maintenance technique for distribution system
title_sort novel wide-area fault location and predictive maintenance technique for distribution system
publisher John Wiley and Sons Inc.
publishDate 2023
_version_ 1806427868819881984