Application of Intelligent Algorithm to Transformer Optimal Design

Shuang Zhang; Qing He Hu; Xing Wei Wang

doi:10.4028/www.scientific.net/AMR.219-220.1578

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220Application of Intelligent Algorithm to...

Application of Intelligent Algorithm to Transformer Optimal Design

Abstract:

The paper studies transformer optimal design, establishes optimal transformer model based on total owning cost. It adopts penalty function to process objective function with weighted coefficients. For prematurity and low speed of convergence of Simple Genetic Algorithm, improved adaptive genetic algorithm is adopted. It increases crossover and mutation rates, and improves fitness function. It is adopted to search for minimum total owning cost of transformer. The result shows that the algorithm performs well, increases converging speed and betters solution.

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Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

1578-1583

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.1578

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Online since:

March 2011

Authors:

Shuang Zhang, Qing He Hu, Xing Wei Wang

Keywords:

Genetic Algorithm (GA), Optimal Design, Total Owning Cost, Transformer

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References

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