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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my.utp.eprints.26372017-01-19T08:26:32Z 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 http://eprints.utp.edu.my/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. http://eprints.utp.edu.my/2637/ |
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TK Electrical engineering. Electronics Nuclear engineering K. S. , Rama Rao Khairul, Nisak Md Hasan Rectifier Power Transformer Design by Intelligent Optimization Techniques |
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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. |
format |
Conference or Workshop Item |
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 |
title |
Rectifier Power Transformer Design by Intelligent
Optimization Techniques |
title_short |
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_sort |
rectifier power transformer design by intelligent
optimization techniques |
publishDate |
2008 |
url |
http://eprints.utp.edu.my/2637/1/RT_-_IEEE_EPEC_2008_-_Canada.pdf http://eprints.utp.edu.my/2637/ |
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1738655207964803072 |
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13.15806 |