Understanding power transformer frequency response based on model simulation
Frequency Response Analysis (FRA) has been approved and there is an increased interest in performing electric power transformers tests. The drawback of using the FRA method is that there is no available recognized standard to interpret the obtained results, which depend on personal expertise. For fu...
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my.utm.987672023-02-02T08:34:47Z http://eprints.utm.my/id/eprint/98767/ Understanding power transformer frequency response based on model simulation Al-Ameri, Salem Mgammal Alawady, Ahmed Allawy Kamarudin, Muhammad Saufi Mohd. Yousof, Mohd. Fairouz Abdul Malek, Zulkurnain Salem, Ali Ahmed TK Electrical engineering. Electronics Nuclear engineering Frequency Response Analysis (FRA) has been approved and there is an increased interest in performing electric power transformers tests. The drawback of using the FRA method is that there is no available recognized standard to interpret the obtained results, which depend on personal expertise. For further understanding of the FRA signature of power transformers faults, it was recommended to use lumped or distributed circuit approaches, therefore understanding the fault effect on the FRA signature. This study presents a power transformer model and simulates its FRA. Also, the effect of reducing the model electrical circuit RLC parameters was investigated. The effect of each parameter was determined in the FRA spectrum. The results show a significant change in a specific region for each parameter. 2022 Conference or Workshop Item PeerReviewed Al-Ameri, Salem Mgammal and Alawady, Ahmed Allawy and Kamarudin, Muhammad Saufi and Mohd. Yousof, Mohd. Fairouz and Abdul Malek, Zulkurnain and Salem, Ali Ahmed (2022) Understanding power transformer frequency response based on model simulation. In: 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022, 25 - 26 October 2022, Ibb, Yemen. http://dx.doi.org/10.1109/eSmarTA56775.2022.9935426 |
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TK Electrical engineering. Electronics Nuclear engineering Al-Ameri, Salem Mgammal Alawady, Ahmed Allawy Kamarudin, Muhammad Saufi Mohd. Yousof, Mohd. Fairouz Abdul Malek, Zulkurnain Salem, Ali Ahmed Understanding power transformer frequency response based on model simulation |
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Frequency Response Analysis (FRA) has been approved and there is an increased interest in performing electric power transformers tests. The drawback of using the FRA method is that there is no available recognized standard to interpret the obtained results, which depend on personal expertise. For further understanding of the FRA signature of power transformers faults, it was recommended to use lumped or distributed circuit approaches, therefore understanding the fault effect on the FRA signature. This study presents a power transformer model and simulates its FRA. Also, the effect of reducing the model electrical circuit RLC parameters was investigated. The effect of each parameter was determined in the FRA spectrum. The results show a significant change in a specific region for each parameter. |
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Conference or Workshop Item |
author |
Al-Ameri, Salem Mgammal Alawady, Ahmed Allawy Kamarudin, Muhammad Saufi Mohd. Yousof, Mohd. Fairouz Abdul Malek, Zulkurnain Salem, Ali Ahmed |
author_facet |
Al-Ameri, Salem Mgammal Alawady, Ahmed Allawy Kamarudin, Muhammad Saufi Mohd. Yousof, Mohd. Fairouz Abdul Malek, Zulkurnain Salem, Ali Ahmed |
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Al-Ameri, Salem Mgammal |
title |
Understanding power transformer frequency response based on model simulation |
title_short |
Understanding power transformer frequency response based on model simulation |
title_full |
Understanding power transformer frequency response based on model simulation |
title_fullStr |
Understanding power transformer frequency response based on model simulation |
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Understanding power transformer frequency response based on model simulation |
title_sort |
understanding power transformer frequency response based on model simulation |
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2022 |
url |
http://eprints.utm.my/id/eprint/98767/ http://dx.doi.org/10.1109/eSmarTA56775.2022.9935426 |
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1758578016769802240 |
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13.160551 |