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Control based on fuzzy logic of a flywheel energy storage system associated with wind and diesel generators

Author

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  • Leclercq, Ludovic
  • Robyns, Benoit
  • Grave, Jean-Michel

Abstract

The aim of this paper is to propose a control strategy of a flywheel energy storage system associated with a diesel generator and a fixed speed wind generator. To control the power exchanged between the flywheel energy storage system and the ac grid, a fuzzy logic based supervisor is proposed with the aim to minimize variations of the power generated by the diesel generator. The interesting performance of the proposed supervisor is shown with the help of simulations.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:matcom:v:63:y:2003:i:3:p:271-280
    DOI: 10.1016/S0378-4754(03)00075-2
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    Citations

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    Cited by:

    1. Mseddi, Amina & Le Ballois, Sandrine & Aloui, Helmi & Vido, Lionel, 2019. "Robust control of a wind conversion system based on a hybrid excitation synchronous generator: A comparison between H∞ and CRONE controllers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 158(C), pages 453-476.
    2. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    3. Lu, D. & Fakham, H. & Zhou, T. & François, B., 2010. "Application of Petri nets for the energy management of a photovoltaic based power station including storage units," Renewable Energy, Elsevier, vol. 35(6), pages 1117-1124.
    4. Ghedamsi, K. & Aouzellag, D. & Berkouk, E.M., 2008. "Control of wind generator associated to a flywheel energy storage system," Renewable Energy, Elsevier, vol. 33(9), pages 2145-2156.
    5. Howlader, Abdul Motin & Urasaki, Naomitsu & Yona, Atsushi & Senjyu, Tomonobu & Saber, Ahmed Yousuf, 2013. "A review of output power smoothing methods for wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 135-146.
    6. 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.
    7. 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.
    8. Lamsal, Dipesh & Sreeram, Victor & Mishra, Yateendra & Kumar, Deepak, 2019. "Output power smoothing control approaches for wind and photovoltaic generation systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    9. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Bianchi, Fernando D., 2013. "Energy management of flywheel-based energy storage device for wind power smoothing," Applied Energy, Elsevier, vol. 110(C), pages 207-219.
    10. Sebastián, R. & Quesada, J., 2006. "Distributed control system for frequency control in a isolated wind system," Renewable Energy, Elsevier, vol. 31(3), pages 285-305.
    11. Aouzellag, D. & Ghedamsi, K. & Berkouk, E.M., 2009. "Network power flux control of a wind generator," Renewable Energy, Elsevier, vol. 34(3), pages 615-622.

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