Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques

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...

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Main Authors: K.S., Rama Rao, K.N.Md., Hasan, Karsiti, M. N.
Format: Citation Index Journal
Language:English
Published: International Foundation for Modern Education and Scientific Research 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/1029/
http://scholars.utp.edu.my/id/eprint/1029/1/W09-0004.pdf
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author K.S., Rama Rao
K.N.Md., Hasan
Karsiti, M. N.
author_facet K.S., Rama Rao
K.N.Md., Hasan
Karsiti, M. N.
author_sort K.S., Rama Rao
building UTP Institutional Repository
collection Online Access
description 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 GA and SA methods 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 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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spelling oai:scholars.utp.edu.my:10292017-01-19T08:25:19Z http://scholars.utp.edu.my/id/eprint/1029/ Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques K.S., Rama Rao K.N.Md., Hasan Karsiti, M. N. L Education (General) 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 GA and SA methods 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 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. International Foundation for Modern Education and Scientific Research 2009-07 Citation Index Journal NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/1029/1/W09-0004.pdf K.S., Rama Rao and K.N.Md., Hasan and Karsiti, M. N. (2009) Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques. [Citation Index Journal]
spellingShingle L Education (General)
K.S., Rama Rao
K.N.Md., Hasan
Karsiti, M. N.
Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
title Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
title_full Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
title_fullStr Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
title_full_unstemmed Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
title_short Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
title_sort optimal parameters of rectifier power transformer by intelligent techniques
topic L Education (General)
url http://scholars.utp.edu.my/id/eprint/1029/
http://scholars.utp.edu.my/id/eprint/1029/1/W09-0004.pdf