Transmission line fault clearing system reliability assessment: Application of life data analysis with weibull distribution and reliability block diagram
High voltage transmission lines are essential assets to electric utility companies as these lines transmit electricity generated by power stations to various regions throughout the country. Being exposed to the surrounding environments, transmission lines are susceptible to atmospheric conditions su...
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2018
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| Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/8448 |
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uniten-123456789-8448 |
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eprints |
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uniten-123456789-84482018-02-15T05:13:31Z Transmission line fault clearing system reliability assessment: Application of life data analysis with weibull distribution and reliability block diagram Ridwan, M.I. Rahman, M.R.A. Yunus, B. Musa, A. High voltage transmission lines are essential assets to electric utility companies as these lines transmit electricity generated by power stations to various regions throughout the country. Being exposed to the surrounding environments, transmission lines are susceptible to atmospheric conditions such as lightning strikes and flora and fauna encroachments. These conditions are called faults. Faults on transmission lines may cause disruption of electricity supply which will affect the overall power system and lead to a wide scale blackout. Therefore, fault clearing system is deployed to minimize the impact of the faults to the power system by disconnecting and isolating the affected transmission lines specifically. One of the main devices in fault clearing system are the protective relays, which serve as the the decision making element for correct protection and fault clearing operations. Without protective relays, fault clearing system is rendered useless. Hence, it is imperative for power utilities, such as Tenaga Nasional Berhad (TNB), which is an electric utility company in Malaysia, to assess the reliability of the protective relays. In this study, a statistical method called Life Data Analysis using Weibull Distribution is applied to assess the reliability of the protective relays. Furthermore, the fault clearing system is modeled using Reliability Block Diagram to simulate the availability of the system and derive reliability indices which will assist TNB in managing the fault clearing system. © 2013 ACADEMY PUBLISHER. 2018-02-15T05:13:31Z 2018-02-15T05:13:31Z 2013 http://dspace.uniten.edu.my/jspui/handle/123456789/8448 |
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Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Tenaga Nasional |
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UNITEN Institutional Repository |
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Online Access |
| description |
High voltage transmission lines are essential assets to electric utility companies as these lines transmit electricity generated by power stations to various regions throughout the country. Being exposed to the surrounding environments, transmission lines are susceptible to atmospheric conditions such as lightning strikes and flora and fauna encroachments. These conditions are called faults. Faults on transmission lines may cause disruption of electricity supply which will affect the overall power system and lead to a wide scale blackout. Therefore, fault clearing system is deployed to minimize the impact of the faults to the power system by disconnecting and isolating the affected transmission lines specifically. One of the main devices in fault clearing system are the protective relays, which serve as the the decision making element for correct protection and fault clearing operations. Without protective relays, fault clearing system is rendered useless. Hence, it is imperative for power utilities, such as Tenaga Nasional Berhad (TNB), which is an electric utility company in Malaysia, to assess the reliability of the protective relays. In this study, a statistical method called Life Data Analysis using Weibull Distribution is applied to assess the reliability of the protective relays. Furthermore, the fault clearing system is modeled using Reliability Block Diagram to simulate the availability of the system and derive reliability indices which will assist TNB in managing the fault clearing system. © 2013 ACADEMY PUBLISHER. |
| author |
Ridwan, M.I. Rahman, M.R.A. Yunus, B. Musa, A. |
| spellingShingle |
Ridwan, M.I. Rahman, M.R.A. Yunus, B. Musa, A. Transmission line fault clearing system reliability assessment: Application of life data analysis with weibull distribution and reliability block diagram |
| author_facet |
Ridwan, M.I. Rahman, M.R.A. Yunus, B. Musa, A. |
| author_sort |
Ridwan, M.I. |
| title |
Transmission line fault clearing system reliability assessment: Application of life data analysis with weibull distribution and reliability block diagram |
| title_short |
Transmission line fault clearing system reliability assessment: Application of life data analysis with weibull distribution and reliability block diagram |
| title_full |
Transmission line fault clearing system reliability assessment: Application of life data analysis with weibull distribution and reliability block diagram |
| title_fullStr |
Transmission line fault clearing system reliability assessment: Application of life data analysis with weibull distribution and reliability block diagram |
| title_full_unstemmed |
Transmission line fault clearing system reliability assessment: Application of life data analysis with weibull distribution and reliability block diagram |
| title_sort |
transmission line fault clearing system reliability assessment: application of life data analysis with weibull distribution and reliability block diagram |
| publishDate |
2018 |
| url |
http://dspace.uniten.edu.my/jspui/handle/123456789/8448 |
| first_indexed |
2018-09-05T08:03:53Z |
| last_indexed |
2018-09-05T08:03:53Z |
| _version_ |
1610753909846966272 |