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:
Online Access:http://eprints.uthm.edu.my/2622/1/24p%20FERASS%20A.%20MUFTAH%20SAAD.pdf
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spelling my.uthm.eprints.26222021-11-01T03:25:56Z http://eprints.uthm.edu.my/2622/ Predicting transformer end of life using transformer thermal life simulation technique 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 NonPeerReviewed text en http://eprints.uthm.edu.my/2622/1/24p%20FERASS%20A.%20MUFTAH%20SAAD.pdf text en http://eprints.uthm.edu.my/2622/2/FERASS%20A.%20MUFTAH%20SAAD%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/2622/3/FERASS%20A.%20MUFTAH%20SAAD%20WATERMARK.pdf Muftah Saad, Ferass A. (2011) Predicting transformer end of life using transformer thermal life simulation technique. Masters thesis, Universiti Tun Hussein Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
English
English
topic TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
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
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
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
http://eprints.uthm.edu.my/2622/
_version_ 1738581014545956864
score 13.214268