Transformer life prediction using data from units removed from service

Power transformers are used in the transmission and distribution of electrical power. Installed at power stations, they could be used to raise the voltage from the generators, and transformers at local substations could reduce voltage to supply loads. Power transformers are very important in this...

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Main Author: Mohamad Ali, Ummu Umairah
Format: Thesis
Language:English
English
English
Published: 2013
Subjects:
Online Access:http://eprints.uthm.edu.my/2152/1/24p%20UMMU%20UMAIRAH%20MOHAMAD%20ALI.pdf
http://eprints.uthm.edu.my/2152/2/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/2152/3/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20WATERMARK.pdf
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spelling my-uthm-ep.21522021-10-31T02:49:32Z Transformer life prediction using data from units removed from service 2013-01 Mohamad Ali, Ummu Umairah TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Power transformers are used in the transmission and distribution of electrical power. Installed at power stations, they could be used to raise the voltage from the generators, and transformers at local substations could reduce voltage to supply loads. Power transformers are very important in this day and age, where electricity has almost become a necessity of life. Hence, effort should be taken into studying them and learning all we can about maximizing their efficiency, cost effectiveness, and lifespan. Predicting the lifespan of a power transformer has been considered an important issue for energy companies for some time. Power transformers that reach the end of its life usually do so unexpectedly, causing power reliability problems, which cost a lot of money. Knowing the factors that play part in the degrading process of a power transformer could help power companies determine how long a power transformer have before breaking down, and allow them to perform any necessary action (i.e. replacement) before the power transformer starts giving problems. Applying IEEE transformer loading guide the life consumed during a transformer operation could be assessed by the ambient temperature and loading profile. This helps to understand the "health" condition of a operating transformer and assess the remaining life of the transformer. This project carried out study on thermal modelling of a transformer. Using statistical data of the weather and power system, the power transformer life will be estimated and analysed. This project focuses on the life assessment of the insulation for power transformers by using thermal modelling. Load and ambient temperature are the two important factors that influence the life of insulation in transformers. 2013-01 Thesis http://eprints.uthm.edu.my/2152/ http://eprints.uthm.edu.my/2152/1/24p%20UMMU%20UMAIRAH%20MOHAMAD%20ALI.pdf text en public http://eprints.uthm.edu.my/2152/2/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/2152/3/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
English
topic TK Electrical engineering
Electronics Nuclear engineering
TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
TK Electrical engineering
Electronics Nuclear engineering
Mohamad Ali, Ummu Umairah
Transformer life prediction using data from units removed from service
description Power transformers are used in the transmission and distribution of electrical power. Installed at power stations, they could be used to raise the voltage from the generators, and transformers at local substations could reduce voltage to supply loads. Power transformers are very important in this day and age, where electricity has almost become a necessity of life. Hence, effort should be taken into studying them and learning all we can about maximizing their efficiency, cost effectiveness, and lifespan. Predicting the lifespan of a power transformer has been considered an important issue for energy companies for some time. Power transformers that reach the end of its life usually do so unexpectedly, causing power reliability problems, which cost a lot of money. Knowing the factors that play part in the degrading process of a power transformer could help power companies determine how long a power transformer have before breaking down, and allow them to perform any necessary action (i.e. replacement) before the power transformer starts giving problems. Applying IEEE transformer loading guide the life consumed during a transformer operation could be assessed by the ambient temperature and loading profile. This helps to understand the "health" condition of a operating transformer and assess the remaining life of the transformer. This project carried out study on thermal modelling of a transformer. Using statistical data of the weather and power system, the power transformer life will be estimated and analysed. This project focuses on the life assessment of the insulation for power transformers by using thermal modelling. Load and ambient temperature are the two important factors that influence the life of insulation in transformers.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Mohamad Ali, Ummu Umairah
author_facet Mohamad Ali, Ummu Umairah
author_sort Mohamad Ali, Ummu Umairah
title Transformer life prediction using data from units removed from service
title_short Transformer life prediction using data from units removed from service
title_full Transformer life prediction using data from units removed from service
title_fullStr Transformer life prediction using data from units removed from service
title_full_unstemmed Transformer life prediction using data from units removed from service
title_sort transformer life prediction using data from units removed from service
granting_institution Universiti Tun Hussein Malaysia
granting_department Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate 2013
url http://eprints.uthm.edu.my/2152/1/24p%20UMMU%20UMAIRAH%20MOHAMAD%20ALI.pdf
http://eprints.uthm.edu.my/2152/2/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/2152/3/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20WATERMARK.pdf
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