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Comparison of different DC voltage supervision strategies in a local Power Distribution System of More Electric Aircraft

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  • Zhang, He
  • Saudemont, Christophe
  • Robyns, Benoît
  • Meuret, Régis

Abstract

The local DC Power Distribution System of More Electric Aircraft is one of the cores of the electric power transmission. Because of some unidirectional devices (diode bridge and anti-run-back diodes), the system is not totally reversible. Some storage and dissipation systems are necessary to store or/and dissipate the returned energy to maintain the DC bus voltage and to increase the energy efficiency. This paper introduces four supervision strategies in two levels to maintain the DC bus voltage and compares these strategies with the help of two criteria: the voltage performance and efficiency.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:matcom:v:81:y:2010:i:2:p:263-276
    DOI: 10.1016/j.matcom.2010.05.009
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    References listed on IDEAS

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    1. Leclercq, Ludovic & Robyns, Benoit & Grave, Jean-Michel, 2003. "Control based on fuzzy logic of a flywheel energy storage system associated with wind and diesel generators," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(3), pages 271-280.
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    Cited by:

    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. 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.
    3. Xin Wang & Jason Atkin & Najmeh Bazmohammadi & Serhiy Bozhko & Josep M. Guerrero, 2021. "Optimal Load and Energy Management of Aircraft Microgrids Using Multi-Objective Model Predictive Control," Sustainability, MDPI, vol. 13(24), pages 1-24, December.

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