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Integrated Optimal Design of Heterogeneous Electrical Energetic Systems using Multiobjective Genetic Algorithms

Sareni, Bruno and Régnier, Jérémi and Roboam, Xavier Integrated Optimal Design of Heterogeneous Electrical Energetic Systems using Multiobjective Genetic Algorithms. (2006) International Review of Electrical Engineering (I.R.E.E.), 1 (1). 112-129. ISSN 1827-6600

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Abstract

This paper explores the use of Multiobjective Genetic algorithms (MOGAs) for the Integrated Optimal Design (IOD) of complex heterogeneous power systems in electrical engineering. IOD consists in simultaneously optimizing architecture, structural characteristics,sizing of the constitutive elements and energy management in complex systems. An example of IOD is given in the paper through the case of a traction device for electric vehicles. It is shown that MOGAs lead on the one hand to the optimization of given objectives for performance improvement and on the other hand, provide a better understanding of system behavior through the analysis of Pareto-optimal solutions.

Item Type:Article
Additional Information:Thanks to Praise Worthy Prize editor. The definitive version is available at http://www.praiseworthyprize.com/IREE-latest/IREE_vol_1_n_1.html
Audience (journal):International peer-reviewed journal
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Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
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Deposited On:30 Jan 2013 14:58

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