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Experimental design and genetic algorithm optimization of a fuzzy-logic supervisor for embedded electrical power systems

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  • Breban, Stefan
  • Saudemont, Christophe
  • Vieillard, Sébastien
  • Robyns, Benoît

Abstract

The embedded power systems are nowadays developing at high pace. Hybrid-electric vehicles, full-electric vehicles, airplanes, ships, high-speed trains, all share a common point – the embedded electrical power system. This paper aims to present an optimization methodology of a fuzzy-logic supervision strategy. The optimization objectives are to minimize the DC-link voltage variations, and to increase the system efficiency by reducing the dissipated power. For that, a methodology involving the experimental design and genetic algorithm will be presented. The simulation and experimental results are validating the proposed procedure.

Suggested Citation

  • Breban, Stefan & Saudemont, Christophe & Vieillard, Sébastien & Robyns, Benoît, 2013. "Experimental design and genetic algorithm optimization of a fuzzy-logic supervisor for embedded electrical power systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 91-107.
    • Handle: RePEc:eee:matcom:v:91:y:2013:i:c:p:91-107
    DOI: 10.1016/j.matcom.2012.06.003
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    References listed on IDEAS

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    1. Zhang, He & Saudemont, Christophe & Robyns, Benoît & Meuret, Régis, 2010. "Comparison of different DC voltage supervision strategies in a local Power Distribution System of More Electric Aircraft," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(2), pages 263-276.
    2. Courtecuisse, Vincent & Sprooten, Jonathan & Robyns, Benoît & Petit, Marc & Francois, Bruno & Deuse, Jacques, 2010. "A methodology to design a fuzzy logic based supervision of Hybrid Renewable Energy Systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(2), pages 208-224.
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    1. Robyns, Benoît & Davigny, Arnaud & Saudemont, Christophe, 2013. "Methodologies for supervision of Hybrid Energy Sources based on Storage Systems – A survey," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 52-71.
    2. Pankovits, Petronela & Abbes, Dhaker & Saudemont, Christophe & Brisset, Stephane & Pouget, Julien & Robyns, Benoit, 2016. "Multi-criteria fuzzy-logic optimized supervision for hybrid railway power substations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 130(C), pages 236-250.
    3. Bouallaga, Anouar & Davigny, Arnaud & Courtecuisse, Vincent & Robyns, Benoit, 2017. "Methodology for technical and economic assessment of electric vehicles integration in distribution grid," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 172-189.
    4. Blondin, M.J. & Sicard, P. & Pardalos, P.M., 2019. "Controller Tuning Approach with robustness, stability and dynamic criteria for the original AVR System," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 163(C), pages 168-182.

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