Development of transmission line failure rate model using polynomial regression

Drastic climate change and more frequent occurrences of natural disaster which destruct power system infrastructure results i n power delivery congestion at the transmission network. Heavily loaded transmission network that operates during adverse weather is very prone to outage, hence may trigger m...

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Main Authors: Arshad M.K.N., Aminudin N., Marsadek M., Noor S.Z.M., Salimin R.H., Johari D.
Other Authors: 57215913768
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Published: Science Publishing Corporation Inc 2023
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spelling my.uniten.dspace-239552023-05-29T14:53:30Z Development of transmission line failure rate model using polynomial regression Arshad M.K.N. Aminudin N. Marsadek M. Noor S.Z.M. Salimin R.H. Johari D. 57215913768 24733969500 26423183000 16022920600 25928749500 24733632200 Drastic climate change and more frequent occurrences of natural disaster which destruct power system infrastructure results i n power delivery congestion at the transmission network. Heavily loaded transmission network that operates during adverse weather is very prone to outage, hence may trigger more critical problem such as voltage collapse. Research on risk of voltage collapse due to tran smission line outage has been carried out by numerous researcher. Generally, this risk study involves two major parts; one is the assessmen t of voltage collapse impact due to the line outage and the other is the assessment of probability of line outage to occur. Acco rding to many literatures, precise probability estimation is very difficult to be evaluated since it is very unpredictable. Therefore, serious attention and studies have been focused in estimating the probability of transmission line outage prudently. The accuracy of probability assessed using Poisson distribution is very much dependent on its failure rate value. In this research, a weather -based transmission line failure rate model is developed using Ordinary Least Square (OLS) polynomial regression techni que. To evaluate the effectiveness of the proposed method, comparative study with previous research which utilized robust MM -estimator technique is conducted. The results revealed that the pr oposed technique is more precise and the weather considered in the study has more significant impact compared to the preceding work. Thus, this finding contributes to more accurate probability estimation in risk of voltage collapse assessment. � 2018 Authors. Final 2023-05-29T06:53:30Z 2023-05-29T06:53:30Z 2018 Article 10.14419/ijet.v7i3.15.17508 2-s2.0-85082343903 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082343903&doi=10.14419%2fijet.v7i3.15.17508&partnerID=40&md5=12635e91248c01e8787186cb958a1201 https://irepository.uniten.edu.my/handle/123456789/23955 7 3 91 94 All Open Access, Bronze Science Publishing Corporation Inc Scopus
institution Universiti Tenaga Nasional
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collection Institutional Repository
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country Malaysia
content_provider Universiti Tenaga Nasional
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description Drastic climate change and more frequent occurrences of natural disaster which destruct power system infrastructure results i n power delivery congestion at the transmission network. Heavily loaded transmission network that operates during adverse weather is very prone to outage, hence may trigger more critical problem such as voltage collapse. Research on risk of voltage collapse due to tran smission line outage has been carried out by numerous researcher. Generally, this risk study involves two major parts; one is the assessmen t of voltage collapse impact due to the line outage and the other is the assessment of probability of line outage to occur. Acco rding to many literatures, precise probability estimation is very difficult to be evaluated since it is very unpredictable. Therefore, serious attention and studies have been focused in estimating the probability of transmission line outage prudently. The accuracy of probability assessed using Poisson distribution is very much dependent on its failure rate value. In this research, a weather -based transmission line failure rate model is developed using Ordinary Least Square (OLS) polynomial regression techni que. To evaluate the effectiveness of the proposed method, comparative study with previous research which utilized robust MM -estimator technique is conducted. The results revealed that the pr oposed technique is more precise and the weather considered in the study has more significant impact compared to the preceding work. Thus, this finding contributes to more accurate probability estimation in risk of voltage collapse assessment. � 2018 Authors.
author2 57215913768
author_facet 57215913768
Arshad M.K.N.
Aminudin N.
Marsadek M.
Noor S.Z.M.
Salimin R.H.
Johari D.
format Article
author Arshad M.K.N.
Aminudin N.
Marsadek M.
Noor S.Z.M.
Salimin R.H.
Johari D.
spellingShingle Arshad M.K.N.
Aminudin N.
Marsadek M.
Noor S.Z.M.
Salimin R.H.
Johari D.
Development of transmission line failure rate model using polynomial regression
author_sort Arshad M.K.N.
title Development of transmission line failure rate model using polynomial regression
title_short Development of transmission line failure rate model using polynomial regression
title_full Development of transmission line failure rate model using polynomial regression
title_fullStr Development of transmission line failure rate model using polynomial regression
title_full_unstemmed Development of transmission line failure rate model using polynomial regression
title_sort development of transmission line failure rate model using polynomial regression
publisher Science Publishing Corporation Inc
publishDate 2023
_version_ 1806426395740471296
score 13.222552