Ageing classification of metal oxide surge arrester using its power factor

The third harmonic component of resistive leakage current is considered as the most sensitive ageing indicator of metal oxide surge arrester (MOSA). It is essential to extract the resistive component of the total leakage current prior to determining its third harmonic content. Several methods have b...

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Main Authors: Munir, Abdullah, Abdul Malek, Zulkurnain, Arshad, Rai Naveed
Format: Conference or Workshop Item
Published: 2021
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Online Access:http://eprints.utm.my/id/eprint/98050/
http://dx.doi.org/10.1109/ICPADM49635.2021.9493968
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.980502022-11-23T07:32:32Z http://eprints.utm.my/id/eprint/98050/ Ageing classification of metal oxide surge arrester using its power factor Munir, Abdullah Abdul Malek, Zulkurnain Arshad, Rai Naveed TK Electrical engineering. Electronics Nuclear engineering The third harmonic component of resistive leakage current is considered as the most sensitive ageing indicator of metal oxide surge arrester (MOSA). It is essential to extract the resistive component of the total leakage current prior to determining its third harmonic content. Several methods have been proposed so far to determine the resistive leakage current. But, the implementation of complex mathematical procedures has made these techniques difficult and less accurate. Therefore, this paper is aimed to propose the power factor as a new ageing indicator of MOSA. New indicator is determined without extracting the resistive component of the total leakage current. This study has been performed experimentally on three aged samples of 120 kV rated MOSAs to determine their power factors. The results have shown that the variation in proposed indicator towards arrester's ageing is similar to that of the resistive third harmonic component. The percentage rise in the power factors of MOSA-I, II, and III by increasing the voltage from 70kV to 120kV to simulate ageing, are found to be 105%, 118%, and 108% respectively. 2021 Conference or Workshop Item PeerReviewed Munir, Abdullah and Abdul Malek, Zulkurnain and Arshad, Rai Naveed (2021) Ageing classification of metal oxide surge arrester using its power factor. In: 13th IEEE International Conference on the Properties and Applications of Dielectric Materials, ICPADM 2021, 12 - 14 July 2021, Virtual, Online. http://dx.doi.org/10.1109/ICPADM49635.2021.9493968
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/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Munir, Abdullah
Abdul Malek, Zulkurnain
Arshad, Rai Naveed
Ageing classification of metal oxide surge arrester using its power factor
description The third harmonic component of resistive leakage current is considered as the most sensitive ageing indicator of metal oxide surge arrester (MOSA). It is essential to extract the resistive component of the total leakage current prior to determining its third harmonic content. Several methods have been proposed so far to determine the resistive leakage current. But, the implementation of complex mathematical procedures has made these techniques difficult and less accurate. Therefore, this paper is aimed to propose the power factor as a new ageing indicator of MOSA. New indicator is determined without extracting the resistive component of the total leakage current. This study has been performed experimentally on three aged samples of 120 kV rated MOSAs to determine their power factors. The results have shown that the variation in proposed indicator towards arrester's ageing is similar to that of the resistive third harmonic component. The percentage rise in the power factors of MOSA-I, II, and III by increasing the voltage from 70kV to 120kV to simulate ageing, are found to be 105%, 118%, and 108% respectively.
format Conference or Workshop Item
author Munir, Abdullah
Abdul Malek, Zulkurnain
Arshad, Rai Naveed
author_facet Munir, Abdullah
Abdul Malek, Zulkurnain
Arshad, Rai Naveed
author_sort Munir, Abdullah
title Ageing classification of metal oxide surge arrester using its power factor
title_short Ageing classification of metal oxide surge arrester using its power factor
title_full Ageing classification of metal oxide surge arrester using its power factor
title_fullStr Ageing classification of metal oxide surge arrester using its power factor
title_full_unstemmed Ageing classification of metal oxide surge arrester using its power factor
title_sort ageing classification of metal oxide surge arrester using its power factor
publishDate 2021
url http://eprints.utm.my/id/eprint/98050/
http://dx.doi.org/10.1109/ICPADM49635.2021.9493968
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