Rama Rao, K.S. and Md. Hasan, K.N. (2008) Rectifier power transformer design by intelligent optimization techniques. In: UNSPECIFIED.
Full text not available from this repository.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 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 1; Conference of 2008 IEEE Electrical Power and Energy Conference - Energy Innovation ; Conference Date: 6 October 2008 Through 7 October 2008; Conference Code:75680 |
Uncontrolled Keywords: | Design; Electric instrument transformers; Electric power supplies to apparatus; Genetic algorithms; Large scale systems; Optimal systems; Power transformers; Simulated annealing; Transformer substations, Closed-form expressions; Design optimizations; Design parameters; Direct search methods; Global minimum; Intelligent optimization techniques; Multi-objective functions; Optimal design parameters; Optimal designs; Optimal results; Performance constraints; Phase currents; Rectifier transformers; Search techniques; Stochastic methods; Transformer designs; Transformer ratings; Wave forms, Electric rectifiers |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:16 |
Last Modified: | 09 Nov 2023 15:16 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/392 |