New criteria for metal oxide surge arrester condition monitoring based on leakage current analysis: Considering non‐uniform pollution effect

Abstract The role of surge arresters is vital in power systems' protection against transient overvoltages, which can arise due to occurrences like lightning strikes or switching operations. Based on the performance of the surge arrester, assessing its condition is an essential requirement for e...

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Main Authors: Masume Khodsuz, Mohammad Hossein Teymourian, Seyyedmeysam Seyyedbarzegar
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:IET Generation, Transmission & Distribution
Subjects:
Online Access:https://doi.org/10.1049/gtd2.13123
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author Masume Khodsuz
Mohammad Hossein Teymourian
Seyyedmeysam Seyyedbarzegar
author_facet Masume Khodsuz
Mohammad Hossein Teymourian
Seyyedmeysam Seyyedbarzegar
author_sort Masume Khodsuz
collection DOAJ
description Abstract The role of surge arresters is vital in power systems' protection against transient overvoltages, which can arise due to occurrences like lightning strikes or switching operations. Based on the performance of the surge arrester, assessing its condition is an essential requirement for early detection of any damage or deterioration. This article proposes innovative criteria based on the surge arresters’ leakage current analysis for the classification of uniform and non‐uniform pollution levels. The leakage current signal of clean, uniform, and non‐uniform polluted surge arresters has been examined under different contamination levels, humidity, and non‐uniformity degrees. Based on the experimental results analysis, a new criterion has been proposed for assessing the surge arrester condition, which has resulted from the fifth and first‐order harmonics ratio of resistive leakage current. Analysis of the proposed criterion demonstrates that this index has a significant correlation to the pollution level. The proposed criterion ability has been established based on random forest, support vector machine, decision tree algorithm, and multi‐layer perceptron in Python language. The obtained criterion based on experimental data in different conditions has been employed for classifier training, which can be applied in the power network for better condition monitoring of surge arresters ensuring fast and accurate outcomes.
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spelling doaj.art-5061e9a6ec1c43439b0aecb772e0070f2024-03-04T11:27:50ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952024-03-011851072108910.1049/gtd2.13123New criteria for metal oxide surge arrester condition monitoring based on leakage current analysis: Considering non‐uniform pollution effectMasume Khodsuz0Mohammad Hossein Teymourian1Seyyedmeysam Seyyedbarzegar2Faculty of Electrical and Computer Engineering University of Science and Technology of Mazandaran Behshahr IranFaculty of Electrical Engineering Shahrood University of Technology Shahrood IranFaculty of Electrical Engineering Shahrood University of Technology Shahrood IranAbstract The role of surge arresters is vital in power systems' protection against transient overvoltages, which can arise due to occurrences like lightning strikes or switching operations. Based on the performance of the surge arrester, assessing its condition is an essential requirement for early detection of any damage or deterioration. This article proposes innovative criteria based on the surge arresters’ leakage current analysis for the classification of uniform and non‐uniform pollution levels. The leakage current signal of clean, uniform, and non‐uniform polluted surge arresters has been examined under different contamination levels, humidity, and non‐uniformity degrees. Based on the experimental results analysis, a new criterion has been proposed for assessing the surge arrester condition, which has resulted from the fifth and first‐order harmonics ratio of resistive leakage current. Analysis of the proposed criterion demonstrates that this index has a significant correlation to the pollution level. The proposed criterion ability has been established based on random forest, support vector machine, decision tree algorithm, and multi‐layer perceptron in Python language. The obtained criterion based on experimental data in different conditions has been employed for classifier training, which can be applied in the power network for better condition monitoring of surge arresters ensuring fast and accurate outcomes.https://doi.org/10.1049/gtd2.13123arresterscondition monitoringleakage currentssurface contamination
spellingShingle Masume Khodsuz
Mohammad Hossein Teymourian
Seyyedmeysam Seyyedbarzegar
New criteria for metal oxide surge arrester condition monitoring based on leakage current analysis: Considering non‐uniform pollution effect
IET Generation, Transmission & Distribution
arresters
condition monitoring
leakage currents
surface contamination
title New criteria for metal oxide surge arrester condition monitoring based on leakage current analysis: Considering non‐uniform pollution effect
title_full New criteria for metal oxide surge arrester condition monitoring based on leakage current analysis: Considering non‐uniform pollution effect
title_fullStr New criteria for metal oxide surge arrester condition monitoring based on leakage current analysis: Considering non‐uniform pollution effect
title_full_unstemmed New criteria for metal oxide surge arrester condition monitoring based on leakage current analysis: Considering non‐uniform pollution effect
title_short New criteria for metal oxide surge arrester condition monitoring based on leakage current analysis: Considering non‐uniform pollution effect
title_sort new criteria for metal oxide surge arrester condition monitoring based on leakage current analysis considering non uniform pollution effect
topic arresters
condition monitoring
leakage currents
surface contamination
url https://doi.org/10.1049/gtd2.13123
work_keys_str_mv AT masumekhodsuz newcriteriaformetaloxidesurgearresterconditionmonitoringbasedonleakagecurrentanalysisconsideringnonuniformpollutioneffect
AT mohammadhosseinteymourian newcriteriaformetaloxidesurgearresterconditionmonitoringbasedonleakagecurrentanalysisconsideringnonuniformpollutioneffect
AT seyyedmeysamseyyedbarzegar newcriteriaformetaloxidesurgearresterconditionmonitoringbasedonleakagecurrentanalysisconsideringnonuniformpollutioneffect