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Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems

This paper proposes a novel fault localization method that is based on the non-intrusive fault monitoring (NIFM) techniques in high-voltage/extra-high-voltage (HV/EHV) power transmission networks. In this work, the fault signals measured at the utilities can be extracted by the hyperbolic S-transfor...

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Main Authors: Chang, Hsueh-Hsien, Yang, Chuan Choong, Lee, Wei-Jen
Format: Conference or Workshop Item
Language:English
English
Published: IEEE Xplore 2020
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://irep.iium.edu.my/83016/8/83016%20Fault%20Location%20Identification%20in%20Power%20Transmission%20Networks.pdf
http://irep.iium.edu.my/83016/7/83016%20Fault%20Location%20Identification%20in%20Power%20Transmission%20Networks%20SCOPUS.pdf
http://irep.iium.edu.my/83016/
https://ieeexplore.ieee.org/document/9176816/authors#authors
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spelling my.iium.irep.830162020-10-20T06:24:47Z http://irep.iium.edu.my/83016/ Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems Chang, Hsueh-Hsien Yang, Chuan Choong Lee, Wei-Jen TK Electrical engineering. Electronics Nuclear engineering This paper proposes a novel fault localization method that is based on the non-intrusive fault monitoring (NIFM) techniques in high-voltage/extra-high-voltage (HV/EHV) power transmission networks. In this work, the fault signals measured at the utilities can be extracted by the hyperbolic S-transform (HST). To carefully select coefficients of the HST representing fault transient signals and slash the size of inputs for recognition algorithms, power-spectrumbased HST is adopted in this paper to quantitatively transform the HST coefficients (HSTCs). After the processes of feature selection, the fault location indicator is recognized by the support vector machines (SVMs). To examine and validate the proposed methodology for constructing power transmission networks, various fault types are simulated by using electromagnetic transients program (EMTP). The simulation results are achieved to reveal that the proposed methods demonstrate a high success rate of fault location identification in power transmission networks for NIFM applications. IEEE Xplore 2020-08-25 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/83016/8/83016%20Fault%20Location%20Identification%20in%20Power%20Transmission%20Networks.pdf application/pdf en http://irep.iium.edu.my/83016/7/83016%20Fault%20Location%20Identification%20in%20Power%20Transmission%20Networks%20SCOPUS.pdf Chang, Hsueh-Hsien and Yang, Chuan Choong and Lee, Wei-Jen (2020) Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems. In: 56th IEEE Industrial & Commercial Power Systems (I&CPS) Technical Conference, 29th June - 28th July 2020, Las Vegas, Nevada, United States of America. https://ieeexplore.ieee.org/document/9176816/authors#authors 10.1109/ICPS48389.2020.9176816
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chang, Hsueh-Hsien
Yang, Chuan Choong
Lee, Wei-Jen
Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems
description This paper proposes a novel fault localization method that is based on the non-intrusive fault monitoring (NIFM) techniques in high-voltage/extra-high-voltage (HV/EHV) power transmission networks. In this work, the fault signals measured at the utilities can be extracted by the hyperbolic S-transform (HST). To carefully select coefficients of the HST representing fault transient signals and slash the size of inputs for recognition algorithms, power-spectrumbased HST is adopted in this paper to quantitatively transform the HST coefficients (HSTCs). After the processes of feature selection, the fault location indicator is recognized by the support vector machines (SVMs). To examine and validate the proposed methodology for constructing power transmission networks, various fault types are simulated by using electromagnetic transients program (EMTP). The simulation results are achieved to reveal that the proposed methods demonstrate a high success rate of fault location identification in power transmission networks for NIFM applications.
format Conference or Workshop Item
author Chang, Hsueh-Hsien
Yang, Chuan Choong
Lee, Wei-Jen
author_facet Chang, Hsueh-Hsien
Yang, Chuan Choong
Lee, Wei-Jen
author_sort Chang, Hsueh-Hsien
title Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems
title_short Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems
title_full Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems
title_fullStr Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems
title_full_unstemmed Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems
title_sort fault location identification in power transmission networks using novel non-intrusive fault monitoring systems
publisher IEEE Xplore
publishDate 2020
url http://irep.iium.edu.my/83016/8/83016%20Fault%20Location%20Identification%20in%20Power%20Transmission%20Networks.pdf
http://irep.iium.edu.my/83016/7/83016%20Fault%20Location%20Identification%20in%20Power%20Transmission%20Networks%20SCOPUS.pdf
http://irep.iium.edu.my/83016/
https://ieeexplore.ieee.org/document/9176816/authors#authors
_version_ 1681489286322454528
score 13.211869

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