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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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. |
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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 |
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13.214268 |