High-impedance fault location using matching technique and wavelet transform for underground cable distribution network

Locating the faulty section of a high-impedance fault (HIF) is quite challenging for the underground distribution network of a power system. The complexity of the distribution network, such as branches, nonhomogenous lines, and HIF, contributes to the difficulties in locating the faulty section. In...

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Main Authors: Ali, M.S., Bakar, Ab Halim Abu, Mokhlis, Hazlie, Arof, Hamzah, Illias, Hazlee Azil
Format: Article
Published: Institute of Electrical Engineers of Japan 2014
Subjects:
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author Ali, M.S.
Bakar, Ab Halim Abu
Mokhlis, Hazlie
Arof, Hamzah
Illias, Hazlee Azil
author_facet Ali, M.S.
Bakar, Ab Halim Abu
Mokhlis, Hazlie
Arof, Hamzah
Illias, Hazlee Azil
author_sort Ali, M.S.
collection UM
description Locating the faulty section of a high-impedance fault (HIF) is quite challenging for the underground distribution network of a power system. The complexity of the distribution network, such as branches, nonhomogenous lines, and HIF, contributes to the difficulties in locating the faulty section. In this paper, the shortest distance (SD) technique and a database approach have been proposed to determine the faulty section. A multiresolution analysis based on discrete wavelet transforms is chosen to extract the unique features from voltage signals during the HIF event. The output coefficients from the decomposition process is stored in a database and used as the input data for the SD algorithm. The first, second, and third level of detailed coefficients of the post-disturbance voltage signal were utilized for the identification of the faulty section using the proposed method. A ranking analysis was created to provide a number of possibilities of faulty section. In this paper, a 38-node underground distribution network system in a national grid in Malaysia was modeled using the PSCAD software. The proposed method was able to successfully determine the faulty section.
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spelling um.eprints-117862018-10-11T03:55:14Z http://eprints.um.edu.my/11786/ High-impedance fault location using matching technique and wavelet transform for underground cable distribution network Ali, M.S. Bakar, Ab Halim Abu Mokhlis, Hazlie Arof, Hamzah Illias, Hazlee Azil TA Engineering (General). Civil engineering (General) Locating the faulty section of a high-impedance fault (HIF) is quite challenging for the underground distribution network of a power system. The complexity of the distribution network, such as branches, nonhomogenous lines, and HIF, contributes to the difficulties in locating the faulty section. In this paper, the shortest distance (SD) technique and a database approach have been proposed to determine the faulty section. A multiresolution analysis based on discrete wavelet transforms is chosen to extract the unique features from voltage signals during the HIF event. The output coefficients from the decomposition process is stored in a database and used as the input data for the SD algorithm. The first, second, and third level of detailed coefficients of the post-disturbance voltage signal were utilized for the identification of the faulty section using the proposed method. A ranking analysis was created to provide a number of possibilities of faulty section. In this paper, a 38-node underground distribution network system in a national grid in Malaysia was modeled using the PSCAD software. The proposed method was able to successfully determine the faulty section. Institute of Electrical Engineers of Japan 2014-03 Article PeerReviewed Ali, M.S. and Bakar, Ab Halim Abu and Mokhlis, Hazlie and Arof, Hamzah and Illias, Hazlee Azil (2014) High-impedance fault location using matching technique and wavelet transform for underground cable distribution network. IEEJ Transactions on Electrical and Electronic Engineering, 9 (2). pp. 176-182. ISSN 1931-4973, DOI https://doi.org/10.1002/tee.21953 <https://doi.org/10.1002/tee.21953>. http://onlinelibrary.wiley.com/doi/10.1002/tee.21953/abstract http://dx.doi.org/10.1002/tee.21953
spellingShingle TA Engineering (General). Civil engineering (General)
Ali, M.S.
Bakar, Ab Halim Abu
Mokhlis, Hazlie
Arof, Hamzah
Illias, Hazlee Azil
High-impedance fault location using matching technique and wavelet transform for underground cable distribution network
title High-impedance fault location using matching technique and wavelet transform for underground cable distribution network
title_full High-impedance fault location using matching technique and wavelet transform for underground cable distribution network
title_fullStr High-impedance fault location using matching technique and wavelet transform for underground cable distribution network
title_full_unstemmed High-impedance fault location using matching technique and wavelet transform for underground cable distribution network
title_short High-impedance fault location using matching technique and wavelet transform for underground cable distribution network
title_sort high impedance fault location using matching technique and wavelet transform for underground cable distribution network
topic TA Engineering (General). Civil engineering (General)
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AT bakarabhalimabu highimpedancefaultlocationusingmatchingtechniqueandwavelettransformforundergroundcabledistributionnetwork
AT mokhlishazlie highimpedancefaultlocationusingmatchingtechniqueandwavelettransformforundergroundcabledistributionnetwork
AT arofhamzah highimpedancefaultlocationusingmatchingtechniqueandwavelettransformforundergroundcabledistributionnetwork
AT illiashazleeazil highimpedancefaultlocationusingmatchingtechniqueandwavelettransformforundergroundcabledistributionnetwork