Predicting transformer end of life using transformer thermal life simulation technique

Large power transformers are key components in power system networks and their correct functioning is vital to system operation. Transformer failures can have enormous impact on security and reliability of supply and cost. In addition, Power transformers ageing are one of the critical issues util...

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Main Author:	Muftah Saad, Ferass A.
Format:	Thesis
Language:	English English English
Published:	2011
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.uthm.edu.my/2622/1/24p%20FERASS%20A.%20MUFTAH%20SAAD.pdf http://eprints.uthm.edu.my/2622/2/FERASS%20A.%20MUFTAH%20SAAD%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2622/3/FERASS%20A.%20MUFTAH%20SAAD%20WATERMARK.pdf
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id	my-uthm-ep.2622
record_format	uketd_dc
spelling	my-uthm-ep.26222021-11-01T03:25:56Z Predicting transformer end of life using transformer thermal life simulation technique 2011-04 Muftah Saad, Ferass A. TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Large power transformers are key components in power system networks and their correct functioning is vital to system operation. Transformer failures can have enormous impact on security and reliability of supply and cost. In addition, Power transformers ageing are one of the critical issues utilities are facing, since a large number of units are approaching or have exceeded their designed lifetime. Their replacement will involve a considerable amount of time and cost. Therefore, developing a replacement strategy for aged transformer populations is crucial. This theses presents simulation technique for life assessment of the insulation of the distribution transformer. Load and ambient temperatures are two important factors that influence the life of insulation in transformers. The estimated load factors and ambient temperatures are input to the IEC life consumption models to assess the consumed life of insulation. The simulation is based on IEC 60076-7 Revision 2005 thermal model. Sumer and winter load profiles and ambient temperatures of the transformer in Libya Electricity Company are used as the input for the simulation together with transformer parameters from the heat run test. Hottest spot temperature and loss-of-life are calculated. Besides the temperature, the moisture factor also has been introduced in loss of life calculation. 2011-04 Thesis http://eprints.uthm.edu.my/2622/ http://eprints.uthm.edu.my/2622/1/24p%20FERASS%20A.%20MUFTAH%20SAAD.pdf text en public http://eprints.uthm.edu.my/2622/2/FERASS%20A.%20MUFTAH%20SAAD%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/2622/3/FERASS%20A.%20MUFTAH%20SAAD%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 Muftah Saad, Ferass A. Predicting transformer end of life using transformer thermal life simulation technique
description	Large power transformers are key components in power system networks and their correct functioning is vital to system operation. Transformer failures can have enormous impact on security and reliability of supply and cost. In addition, Power transformers ageing are one of the critical issues utilities are facing, since a large number of units are approaching or have exceeded their designed lifetime. Their replacement will involve a considerable amount of time and cost. Therefore, developing a replacement strategy for aged transformer populations is crucial. This theses presents simulation technique for life assessment of the insulation of the distribution transformer. Load and ambient temperatures are two important factors that influence the life of insulation in transformers. The estimated load factors and ambient temperatures are input to the IEC life consumption models to assess the consumed life of insulation. The simulation is based on IEC 60076-7 Revision 2005 thermal model. Sumer and winter load profiles and ambient temperatures of the transformer in Libya Electricity Company are used as the input for the simulation together with transformer parameters from the heat run test. Hottest spot temperature and loss-of-life are calculated. Besides the temperature, the moisture factor also has been introduced in loss of life calculation.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Muftah Saad, Ferass A.
author_facet	Muftah Saad, Ferass A.
author_sort	Muftah Saad, Ferass A.
title	Predicting transformer end of life using transformer thermal life simulation technique
title_short	Predicting transformer end of life using transformer thermal life simulation technique
title_full	Predicting transformer end of life using transformer thermal life simulation technique
title_fullStr	Predicting transformer end of life using transformer thermal life simulation technique
title_full_unstemmed	Predicting transformer end of life using transformer thermal life simulation technique
title_sort	predicting transformer end of life using transformer thermal life simulation technique
granting_institution	Universiti Tun Hussein Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2011
url	http://eprints.uthm.edu.my/2622/1/24p%20FERASS%20A.%20MUFTAH%20SAAD.pdf http://eprints.uthm.edu.my/2622/2/FERASS%20A.%20MUFTAH%20SAAD%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2622/3/FERASS%20A.%20MUFTAH%20SAAD%20WATERMARK.pdf
_version_	1747830969285476352

Predicting transformer end of life using transformer thermal life simulation technique

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