Optimal design of power converter using multi-objective genetic algorithm

H. Mejbri (1) , Kaiçar Ammous (1) , Hervé Morel (2) , Anis Ammous (3)

1 PEG - Groupe Electronique de Puissance
2 AMPERE - Ampère
3 CEM Lab - ENIS - Département de Génie Électrique de Sfax [ENIS]

In the development of power electronics systems, the increasing eff or the decreasing costs and volume have been of primary concern. This paper provides a continuous optimization approach for design of power converters. An important Pareto-based multi-objective optimization algorithm namely Non-dominated Sorting Genetic Algorithm (NSGA-II) is used to obtain the design. As an example, a boost converter under some electrical constraints is synthesized for minimum costs, volume and losses. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

Mots clés: Design; Genetic Based Algorithms; Multi-Objective Optimization; Optimization; Power Converter

Domaines: Energie électrique

H. Mejbri, Kaiçar Ammous, Hervé Morel, Anis Ammous. Optimal design of power converter using multi-objective genetic algorithm. International Review on Modelling and Simulations, 2012, 5 (2), pp.793-802. ⟨hal-00747409⟩