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A performance-oriented power transformer design methodology using multi-objective evolutionary optimization
Transformers are regarded as crucial components in power systems. Due to market globalization, power transformer manufacturers are facing an increasingly competitive environment that mandates the adoption of design strategies yielding better performance at lower costs. In this paper, a power transfo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522543/ https://www.ncbi.nlm.nih.gov/pubmed/26257939 http://dx.doi.org/10.1016/j.jare.2014.08.003 |
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author | Adly, Amr A. Abd-El-Hafiz, Salwa K. |
author_facet | Adly, Amr A. Abd-El-Hafiz, Salwa K. |
author_sort | Adly, Amr A. |
collection | PubMed |
description | Transformers are regarded as crucial components in power systems. Due to market globalization, power transformer manufacturers are facing an increasingly competitive environment that mandates the adoption of design strategies yielding better performance at lower costs. In this paper, a power transformer design methodology using multi-objective evolutionary optimization is proposed. Using this methodology, which is tailored to be target performance design-oriented, quick rough estimation of transformer design specifics may be inferred. Testing of the suggested approach revealed significant qualitative and quantitative match with measured design and performance values. Details of the proposed methodology as well as sample design results are reported in the paper. |
format | Online Article Text |
id | pubmed-4522543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-45225432015-08-07 A performance-oriented power transformer design methodology using multi-objective evolutionary optimization Adly, Amr A. Abd-El-Hafiz, Salwa K. J Adv Res Original Article Transformers are regarded as crucial components in power systems. Due to market globalization, power transformer manufacturers are facing an increasingly competitive environment that mandates the adoption of design strategies yielding better performance at lower costs. In this paper, a power transformer design methodology using multi-objective evolutionary optimization is proposed. Using this methodology, which is tailored to be target performance design-oriented, quick rough estimation of transformer design specifics may be inferred. Testing of the suggested approach revealed significant qualitative and quantitative match with measured design and performance values. Details of the proposed methodology as well as sample design results are reported in the paper. Elsevier 2015-05 2014-08-20 /pmc/articles/PMC4522543/ /pubmed/26257939 http://dx.doi.org/10.1016/j.jare.2014.08.003 Text en © 2014 Production and hosting by Elsevier B.V. on behalf of Cairo University. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
spellingShingle | Original Article Adly, Amr A. Abd-El-Hafiz, Salwa K. A performance-oriented power transformer design methodology using multi-objective evolutionary optimization |
title | A performance-oriented power transformer design methodology using multi-objective evolutionary optimization |
title_full | A performance-oriented power transformer design methodology using multi-objective evolutionary optimization |
title_fullStr | A performance-oriented power transformer design methodology using multi-objective evolutionary optimization |
title_full_unstemmed | A performance-oriented power transformer design methodology using multi-objective evolutionary optimization |
title_short | A performance-oriented power transformer design methodology using multi-objective evolutionary optimization |
title_sort | performance-oriented power transformer design methodology using multi-objective evolutionary optimization |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522543/ https://www.ncbi.nlm.nih.gov/pubmed/26257939 http://dx.doi.org/10.1016/j.jare.2014.08.003 |
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