Rectifier Power Transformer Design by Intelligent Optimization Techniques

Abstract- Two stochastic methods for locating global minimum and optimal design parameters of a rectifier power transformer, by Genetic Algorithm (GA) and Simulated Annealing (SA) are presented. A closed form expression for actual phase current waveform of the rectifier transformer is derived an...

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Main Authors: K. S. , Rama Rao, Khairul, Nisak Md Hasan
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/2637/
http://scholars.utp.edu.my/id/eprint/2637/1/RT_-_IEEE_EPEC_2008_-_Canada.pdf
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author K. S. , Rama Rao
Khairul, Nisak Md Hasan
author_facet K. S. , Rama Rao
Khairul, Nisak Md Hasan
author_sort K. S. , Rama Rao
building UTP Institutional Repository
collection Online Access
description Abstract- Two stochastic methods for locating global minimum and optimal design parameters of a rectifier power transformer, by Genetic Algorithm (GA) and Simulated Annealing (SA) are presented. A closed form expression for actual phase current waveform of the rectifier transformer is derived and a comparison is made with the approximate waveform normally considered for fixing the transformer rating. The design parameters of the transformer obtained by Powell’s direct search method are compared with those from GA and SA. The optimal results demonstrated by an example show the potential for implementation of GA as an efficient search technique for design optimization of rectifier power 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.
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institution Universiti Teknologi Petronas
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language English
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spelling oai:scholars.utp.edu.my:26372017-01-19T08:26:32Z http://scholars.utp.edu.my/id/eprint/2637/ Rectifier Power Transformer Design by Intelligent Optimization Techniques K. S. , Rama Rao Khairul, Nisak Md Hasan TK Electrical engineering. Electronics Nuclear engineering Abstract- Two stochastic methods for locating global minimum and optimal design parameters of a rectifier power transformer, by Genetic Algorithm (GA) and Simulated Annealing (SA) are presented. A closed form expression for actual phase current waveform of the rectifier transformer is derived and a comparison is made with the approximate waveform normally considered for fixing the transformer rating. The design parameters of the transformer obtained by Powell’s direct search method are compared with those from GA and SA. The optimal results demonstrated by an example show the potential for implementation of GA as an efficient search technique for design optimization of rectifier power 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. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2637/1/RT_-_IEEE_EPEC_2008_-_Canada.pdf K. S. , Rama Rao and Khairul, Nisak Md Hasan (2008) Rectifier Power Transformer Design by Intelligent Optimization Techniques. In: 2008 IEEE Electrical Power & Energy Conference, 6-7 Oct, 2008, Vancouver, Canada.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
K. S. , Rama Rao
Khairul, Nisak Md Hasan
Rectifier Power Transformer Design by Intelligent Optimization Techniques
title Rectifier Power Transformer Design by Intelligent Optimization Techniques
title_full Rectifier Power Transformer Design by Intelligent Optimization Techniques
title_fullStr Rectifier Power Transformer Design by Intelligent Optimization Techniques
title_full_unstemmed Rectifier Power Transformer Design by Intelligent Optimization Techniques
title_short Rectifier Power Transformer Design by Intelligent Optimization Techniques
title_sort rectifier power transformer design by intelligent optimization techniques
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/2637/
http://scholars.utp.edu.my/id/eprint/2637/1/RT_-_IEEE_EPEC_2008_-_Canada.pdf