Field-dependent pollution model under polluted environments for outdoor polymeric insulators

In-depth understanding of the pollution problems such as dry bands and the polymeric aging process requires better determination of electric field strength and its distribution over the polymeric surface. To determine the electric field distribution over the insulator surface, this research proposes...

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Main Authors: Ahmed, Rizwan, Abd. Rahman, Rahisham, Jamal, Arshad, Salem, Ali Ahmed, Bander Saman, Bander Saman, Lau, Kwan Yiew, Ghoneim, Sherif S. M.
Format: Article
Language:English
Published: MDPI 2022
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Online Access:http://eprints.utm.my/103778/1/LauKwanYiew2022_FieldDependentPollutionModel.pdf
http://eprints.utm.my/103778/
http://dx.doi.org/10.3390/polym14030516
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.1037782023-11-26T06:31:56Z http://eprints.utm.my/103778/ Field-dependent pollution model under polluted environments for outdoor polymeric insulators Ahmed, Rizwan Abd. Rahman, Rahisham Jamal, Arshad Salem, Ali Ahmed Bander Saman, Bander Saman Lau, Kwan Yiew Ghoneim, Sherif S. M. TK Electrical engineering. Electronics Nuclear engineering In-depth understanding of the pollution problems such as dry bands and the polymeric aging process requires better determination of electric field strength and its distribution over the polymeric surface. To determine the electric field distribution over the insulator surface, this research proposes utilizing a novel approach model based on nonlinear electrical characteristics derived from experimental results for polluted polymer insulators. A case study was carried out for a typical 11 kV polymeric insulator to underline the merits of this new modeling approach. The developments of the proposed pollution model and the subsequent computational works are described in detail. The study is divided into two main stages; laboratory measurements and computer simulations. In the first stage, layer conductance tests were carried out to develop nonlinear field-dependent conductivity for the pollution modeling. In the second part, equipotential and electric field distributions along the leakage were computed using the finite element method (FEM). Comparative field studies showed that the simulation using the proposed dynamic pollution model results in more detailed and realistic field profiles around insulators. This may be useful to predict the formation of dry bands and the initiation of electrical discharges on the polymeric surface. MDPI 2022-02 Article PeerReviewed application/pdf en http://eprints.utm.my/103778/1/LauKwanYiew2022_FieldDependentPollutionModel.pdf Ahmed, Rizwan and Abd. Rahman, Rahisham and Jamal, Arshad and Salem, Ali Ahmed and Bander Saman, Bander Saman and Lau, Kwan Yiew and Ghoneim, Sherif S. M. (2022) Field-dependent pollution model under polluted environments for outdoor polymeric insulators. Polymers, 14 (3). pp. 1-17. ISSN 2073-4360 http://dx.doi.org/10.3390/polym14030516 DOI:10.3390/polym14030516
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
Ahmed, Rizwan
Abd. Rahman, Rahisham
Jamal, Arshad
Salem, Ali Ahmed
Bander Saman, Bander Saman
Lau, Kwan Yiew
Ghoneim, Sherif S. M.
Field-dependent pollution model under polluted environments for outdoor polymeric insulators
description In-depth understanding of the pollution problems such as dry bands and the polymeric aging process requires better determination of electric field strength and its distribution over the polymeric surface. To determine the electric field distribution over the insulator surface, this research proposes utilizing a novel approach model based on nonlinear electrical characteristics derived from experimental results for polluted polymer insulators. A case study was carried out for a typical 11 kV polymeric insulator to underline the merits of this new modeling approach. The developments of the proposed pollution model and the subsequent computational works are described in detail. The study is divided into two main stages; laboratory measurements and computer simulations. In the first stage, layer conductance tests were carried out to develop nonlinear field-dependent conductivity for the pollution modeling. In the second part, equipotential and electric field distributions along the leakage were computed using the finite element method (FEM). Comparative field studies showed that the simulation using the proposed dynamic pollution model results in more detailed and realistic field profiles around insulators. This may be useful to predict the formation of dry bands and the initiation of electrical discharges on the polymeric surface.
format Article
author Ahmed, Rizwan
Abd. Rahman, Rahisham
Jamal, Arshad
Salem, Ali Ahmed
Bander Saman, Bander Saman
Lau, Kwan Yiew
Ghoneim, Sherif S. M.
author_facet Ahmed, Rizwan
Abd. Rahman, Rahisham
Jamal, Arshad
Salem, Ali Ahmed
Bander Saman, Bander Saman
Lau, Kwan Yiew
Ghoneim, Sherif S. M.
author_sort Ahmed, Rizwan
title Field-dependent pollution model under polluted environments for outdoor polymeric insulators
title_short Field-dependent pollution model under polluted environments for outdoor polymeric insulators
title_full Field-dependent pollution model under polluted environments for outdoor polymeric insulators
title_fullStr Field-dependent pollution model under polluted environments for outdoor polymeric insulators
title_full_unstemmed Field-dependent pollution model under polluted environments for outdoor polymeric insulators
title_sort field-dependent pollution model under polluted environments for outdoor polymeric insulators
publisher MDPI
publishDate 2022
url http://eprints.utm.my/103778/1/LauKwanYiew2022_FieldDependentPollutionModel.pdf
http://eprints.utm.my/103778/
http://dx.doi.org/10.3390/polym14030516
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