Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing

This paper presents the design optimization, by Genetic Algorithm (GA) and Simulated Annealing (SA), of a 3-phase rectifier power transformer supplying a dc load. A closed form expression for actual phase current waveform of the rectifier transformer is used and a comparison is made with the approxi...

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Main Authors: K.S., Rama Rao, K.N., Mohd Hassan
Format: Citation Index Journal
Language:English
Published: International Journal of Power, Energy and Artificial Intelligence 2008
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/2646/
http://scholars.utp.edu.my/id/eprint/2646/1/RT_-_IJPEAI_-_Aug_2008.pdf
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author K.S., Rama Rao
K.N., Mohd Hassan
author_facet K.S., Rama Rao
K.N., Mohd Hassan
author_sort K.S., Rama Rao
building UTP Institutional Repository
collection Online Access
description This paper presents the design optimization, by Genetic Algorithm (GA) and Simulated Annealing (SA), of a 3-phase rectifier power transformer supplying a dc load. A closed form expression for actual phase current waveform of the rectifier transformer is used and a comparison is made with the approximate waveform normally considered for fixing the transformer rating. Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. The optimal results demonstrated by an example show the potential for implementation of GA as an efficient search technique for design optimization of transformers. A discussion on the limitations and variation of GA parameters while minimizing the single and multi-objective functions satisfying the performance constraints on the proposed optimal design concludes the paper.
first_indexed 2025-11-13T07:27:54Z
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institution Universiti Teknologi Petronas
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publishDate 2008
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spelling oai:scholars.utp.edu.my:26462017-01-19T08:26:10Z http://scholars.utp.edu.my/id/eprint/2646/ Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing K.S., Rama Rao K.N., Mohd Hassan TK Electrical engineering. Electronics Nuclear engineering This paper presents the design optimization, by Genetic Algorithm (GA) and Simulated Annealing (SA), of a 3-phase rectifier power transformer supplying a dc load. A closed form expression for actual phase current waveform of the rectifier transformer is used and a comparison is made with the approximate waveform normally considered for fixing the transformer rating. Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. The optimal results demonstrated by an example show the potential for implementation of GA as an efficient search technique for design optimization of transformers. A discussion on the limitations and variation of GA parameters while minimizing the single and multi-objective functions satisfying the performance constraints on the proposed optimal design concludes the paper. International Journal of Power, Energy and Artificial Intelligence 2008-08 Citation Index Journal PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2646/1/RT_-_IJPEAI_-_Aug_2008.pdf K.S., Rama Rao and K.N., Mohd Hassan (2008) Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing. [Citation Index Journal]
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
K.S., Rama Rao
K.N., Mohd Hassan
Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
title Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
title_full Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
title_fullStr Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
title_full_unstemmed Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
title_short Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
title_sort design optimization of 3-phase rectifier power transformers by genetic algorithm and simulated annealing
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/2646/
http://scholars.utp.edu.my/id/eprint/2646/1/RT_-_IJPEAI_-_Aug_2008.pdf