An Offline and Online Approach to the OLTC Condition Monitoring: A Review
Damage detection; Disaster prevention; Electric utilities; Outages; Voltage control; Condition; Diagnostic methods; Electricity distribution; Energy; Incipient faults; Monitoring methods; Offline; On-load tap changer; Onload tap changer; Transformer; Condition monitoring
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my.uniten.dspace-267652023-05-29T17:36:36Z An Offline and Online Approach to the OLTC Condition Monitoring: A Review Ismail F.B. Mazwan M. Al-Faiz H. Marsadek M. Hasini H. Al-Bazi A. Yang Ghazali Y.Z. 58027086700 57222998145 57888284500 26423183000 6507435998 35098298500 55336569600 Damage detection; Disaster prevention; Electric utilities; Outages; Voltage control; Condition; Diagnostic methods; Electricity distribution; Energy; Incipient faults; Monitoring methods; Offline; On-load tap changer; Onload tap changer; Transformer; Condition monitoring Transformer failures have a significant cost impact on the operation of an electrical network. In many utilities, transformers have been operating for many years past their expected usable life. As power demand has surged, transformers in some areas are being loaded beyond their rated capacity to meet the demand. One of the vital components in a transformer is the on-load tap changer (OLTC), which regulates the voltage in the distribution network. This study aims to review several condition-monitoring techniques (online and offline) that can monitor the health of the OLTC and assure the safety of the transformer�s OLTC from irreparable damage by detecting the defect at an earlier stage, which is preceded by the specification of typical faults. This paper also discussed the common faults of the OLTC and the root causes of these faults. The OLTC is prone to mechanical faults due to its frequently changing mechanism in the tap operation. The OLTC are also prone to oil as well as thermal faults. As a result, it is critical to monitor OLTC conditions while they are in use. Proper management of condition monitoring (CM) for the OLTC is useful and necessary to increase availability and achieve optimised operating. Condition monitoring (CM) and diagnostics methods (DM) have been developing since the 1950s. CM and DM have been implemented to diagnose and detect an incipient fault, especially for the OLTC. Many techniques, online and offline, are being used to monitor the condition of the OLTC to prevent failure and minimize outages. These DM and CM will prolong the operational cycle and avoid a major disaster for the OLTC, which is an unfavorable scenario. � 2022 by the authors. Final 2023-05-29T09:36:35Z 2023-05-29T09:36:35Z 2022 Review 10.3390/en15176435 2-s2.0-85137925779 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137925779&doi=10.3390%2fen15176435&partnerID=40&md5=b9b49169516c12ae93c1daca5b70fa26 https://irepository.uniten.edu.my/handle/123456789/26765 15 17 6435 All Open Access, Gold, Green MDPI Scopus |
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Damage detection; Disaster prevention; Electric utilities; Outages; Voltage control; Condition; Diagnostic methods; Electricity distribution; Energy; Incipient faults; Monitoring methods; Offline; On-load tap changer; Onload tap changer; Transformer; Condition monitoring |
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58027086700 Ismail F.B. Mazwan M. Al-Faiz H. Marsadek M. Hasini H. Al-Bazi A. Yang Ghazali Y.Z. |
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Review |
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Ismail F.B. Mazwan M. Al-Faiz H. Marsadek M. Hasini H. Al-Bazi A. Yang Ghazali Y.Z. |
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Ismail F.B. Mazwan M. Al-Faiz H. Marsadek M. Hasini H. Al-Bazi A. Yang Ghazali Y.Z. An Offline and Online Approach to the OLTC Condition Monitoring: A Review |
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Ismail F.B. |
title |
An Offline and Online Approach to the OLTC Condition Monitoring: A Review |
title_short |
An Offline and Online Approach to the OLTC Condition Monitoring: A Review |
title_full |
An Offline and Online Approach to the OLTC Condition Monitoring: A Review |
title_fullStr |
An Offline and Online Approach to the OLTC Condition Monitoring: A Review |
title_full_unstemmed |
An Offline and Online Approach to the OLTC Condition Monitoring: A Review |
title_sort |
offline and online approach to the oltc condition monitoring: a review |
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MDPI |
publishDate |
2023 |
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1806424524387778560 |