Optimization of combined thermal and electrical behavior of power converters using multi-objective genetic algorithms

Abstract

A practical example of power electronic converter synthesis is presented, where a multi-objective genetic algorithm, namely non-dominated sorting genetic algorithm (NSGA-II) is used. The optimization algorithm takes an experimentally-derived thermal model for the converter into account. Experimental results are provided for verification. 

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Cite this paper

@article{Malyna2007OptimizationOC, title={Optimization of combined thermal and electrical behavior of power converters using multi-objective genetic algorithms}, author={D. V. Malyna and J. L. Duarte and M. Hendrix and F.B.M. van Horck}, journal={2007 European Conference on Power Electronics and Applications}, year={2007}, pages={1-10} }