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SF6 decomposed component analysis for partial discharge diagnosis in GIS: A review

This paper compiles, summarizes, and deliberates over one hundred important works on the different approaches and advances in the surveillance and diagnosis of the internal status of SF6 gas-insulated equipment (GIE), particularly partial discharge (PD) diagnosis in gas-insulated switchgear (GIS), a...

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Main Authors: Mahdi, Ammar Salah, Abdul-Malek, Zulkurnain, Arshad, Rai Naveed
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/104368/1/ZulkurnainAbdulMalek2022_SF6DecomposedComponentAnalysisforPartialDischarge.pdf
http://eprints.utm.my/104368/
http://dx.doi.org/10.1109/ACCESS.2022.3156926
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spelling my.utm.1043682024-02-04T09:37:57Z http://eprints.utm.my/104368/ SF6 decomposed component analysis for partial discharge diagnosis in GIS: A review Mahdi, Ammar Salah Abdul-Malek, Zulkurnain Arshad, Rai Naveed TK Electrical engineering. Electronics Nuclear engineering This paper compiles, summarizes, and deliberates over one hundred important works on the different approaches and advances in the surveillance and diagnosis of the internal status of SF6 gas-insulated equipment (GIE), particularly partial discharge (PD) diagnosis in gas-insulated switchgear (GIS), and the proposed diagnosis techniques used. This review focused on four research aspects on PD diagnosis related to the SF6 decomposition mechanism under PD activity, the developments in PD detection techniques, PD sources identification, and PD severity evaluation. Besides, the effect of various factors such as gas pressure, applied voltage, and impurities on the deterioration of the insulation gas and its influence on the diagnosis process has been reviewed. Currently, some reviews on PD diagnosis in SF6-insulated switchgear have been presented and analysed, however, to date, most of them tend to focus on various PD detection techniques in GIS, while others are not extensive and comprehensive reviews. Unlike the available review publications, this paper highlighted various aspects of PD diagnosis in GIS and created a base for further development. The research trend in this field is expected to be directed toward a comprehensive assessment. This review provided a position of the current PD diagnosis in GIS studies and developments that can be a guideline for researchers for further research on the topic's actual impact in the field. Institute of Electrical and Electronics Engineers Inc. 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/104368/1/ZulkurnainAbdulMalek2022_SF6DecomposedComponentAnalysisforPartialDischarge.pdf Mahdi, Ammar Salah and Abdul-Malek, Zulkurnain and Arshad, Rai Naveed (2022) SF6 decomposed component analysis for partial discharge diagnosis in GIS: A review. IEEE Access, 10 (NA). pp. 27270-27288. ISSN 2169-3536 http://dx.doi.org/10.1109/ACCESS.2022.3156926 DOI : 10.1109/ACCESS.2022.3156926
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mahdi, Ammar Salah
Abdul-Malek, Zulkurnain
Arshad, Rai Naveed
SF6 decomposed component analysis for partial discharge diagnosis in GIS: A review
description This paper compiles, summarizes, and deliberates over one hundred important works on the different approaches and advances in the surveillance and diagnosis of the internal status of SF6 gas-insulated equipment (GIE), particularly partial discharge (PD) diagnosis in gas-insulated switchgear (GIS), and the proposed diagnosis techniques used. This review focused on four research aspects on PD diagnosis related to the SF6 decomposition mechanism under PD activity, the developments in PD detection techniques, PD sources identification, and PD severity evaluation. Besides, the effect of various factors such as gas pressure, applied voltage, and impurities on the deterioration of the insulation gas and its influence on the diagnosis process has been reviewed. Currently, some reviews on PD diagnosis in SF6-insulated switchgear have been presented and analysed, however, to date, most of them tend to focus on various PD detection techniques in GIS, while others are not extensive and comprehensive reviews. Unlike the available review publications, this paper highlighted various aspects of PD diagnosis in GIS and created a base for further development. The research trend in this field is expected to be directed toward a comprehensive assessment. This review provided a position of the current PD diagnosis in GIS studies and developments that can be a guideline for researchers for further research on the topic's actual impact in the field.
format Article
author Mahdi, Ammar Salah
Abdul-Malek, Zulkurnain
Arshad, Rai Naveed
author_facet Mahdi, Ammar Salah
Abdul-Malek, Zulkurnain
Arshad, Rai Naveed
author_sort Mahdi, Ammar Salah
title SF6 decomposed component analysis for partial discharge diagnosis in GIS: A review
title_short SF6 decomposed component analysis for partial discharge diagnosis in GIS: A review
title_full SF6 decomposed component analysis for partial discharge diagnosis in GIS: A review
title_fullStr SF6 decomposed component analysis for partial discharge diagnosis in GIS: A review
title_full_unstemmed SF6 decomposed component analysis for partial discharge diagnosis in GIS: A review
title_sort sf6 decomposed component analysis for partial discharge diagnosis in gis: a review
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://eprints.utm.my/104368/1/ZulkurnainAbdulMalek2022_SF6DecomposedComponentAnalysisforPartialDischarge.pdf
http://eprints.utm.my/104368/
http://dx.doi.org/10.1109/ACCESS.2022.3156926
_version_ 1792147702794944512
score 13.211869

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