Sensoring leakage current to predict pollution levels to improve transmission line model via ANN

Pollution insulator is a serious threat to the safety operations of electric power systems. Leakage current detection is widely employed in transmission line insulators to assess pollution levels. This paper presents the prediction of pollution levels on insulators based on simulated leakage current...

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Main Authors: Khalel, S. I., Rahmat, M. F., Mustafa, M. W. B.
Format: Article
Published: Institute of Advanced Engineering and Science 2017
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Online Access:http://eprints.utm.my/id/eprint/77101/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020938934&doi=10.11591%2fijece.v7i1.pp68-76&partnerID=40&md5=fe7875ceec1cc41459fe816906e4398d
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.771012018-04-30T14:39:54Z http://eprints.utm.my/id/eprint/77101/ Sensoring leakage current to predict pollution levels to improve transmission line model via ANN Khalel, S. I. Rahmat, M. F. Mustafa, M. W. B. TK Electrical engineering. Electronics Nuclear engineering Pollution insulator is a serious threat to the safety operations of electric power systems. Leakage current detection is widely employed in transmission line insulators to assess pollution levels. This paper presents the prediction of pollution levels on insulators based on simulated leakage current and voltage in a transmission tower.The simulation parameters are based on improved transmission line model with leakage current resistance insertion between buses. Artificial neural network (ANN) is employed to predict the level of pollution with different locations of simulated leakage current and voltage between two buses. With a sufficient number of training, the test results showed a significant potential for pollution level prediction with more than 95% Correct Classification Rate (CCR) and output of the ANN showed high agreement with Simulink results. Institute of Advanced Engineering and Science 2017 Article PeerReviewed Khalel, S. I. and Rahmat, M. F. and Mustafa, M. W. B. (2017) Sensoring leakage current to predict pollution levels to improve transmission line model via ANN. International Journal of Electrical and Computer Engineering, 7 (1). pp. 68-76. ISSN 2088-8708 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020938934&doi=10.11591%2fijece.v7i1.pp68-76&partnerID=40&md5=fe7875ceec1cc41459fe816906e4398d DOI:10.11591/ijece.v7i1.pp68-76
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
Khalel, S. I.
Rahmat, M. F.
Mustafa, M. W. B.
Sensoring leakage current to predict pollution levels to improve transmission line model via ANN
description Pollution insulator is a serious threat to the safety operations of electric power systems. Leakage current detection is widely employed in transmission line insulators to assess pollution levels. This paper presents the prediction of pollution levels on insulators based on simulated leakage current and voltage in a transmission tower.The simulation parameters are based on improved transmission line model with leakage current resistance insertion between buses. Artificial neural network (ANN) is employed to predict the level of pollution with different locations of simulated leakage current and voltage between two buses. With a sufficient number of training, the test results showed a significant potential for pollution level prediction with more than 95% Correct Classification Rate (CCR) and output of the ANN showed high agreement with Simulink results.
format Article
author Khalel, S. I.
Rahmat, M. F.
Mustafa, M. W. B.
author_facet Khalel, S. I.
Rahmat, M. F.
Mustafa, M. W. B.
author_sort Khalel, S. I.
title Sensoring leakage current to predict pollution levels to improve transmission line model via ANN
title_short Sensoring leakage current to predict pollution levels to improve transmission line model via ANN
title_full Sensoring leakage current to predict pollution levels to improve transmission line model via ANN
title_fullStr Sensoring leakage current to predict pollution levels to improve transmission line model via ANN
title_full_unstemmed Sensoring leakage current to predict pollution levels to improve transmission line model via ANN
title_sort sensoring leakage current to predict pollution levels to improve transmission line model via ann
publisher Institute of Advanced Engineering and Science
publishDate 2017
url http://eprints.utm.my/id/eprint/77101/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020938934&doi=10.11591%2fijece.v7i1.pp68-76&partnerID=40&md5=fe7875ceec1cc41459fe816906e4398d
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