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A methodology to design a fuzzy logic based supervision of Hybrid Renewable Energy Systems

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  • Courtecuisse, Vincent
  • Sprooten, Jonathan
  • Robyns, Benoît
  • Petit, Marc
  • Francois, Bruno
  • Deuse, Jacques

Abstract

Hybrid Renewable Energy Systems (HRES) are increasingly used to improve the grid integration of wind power generators. The goal of this work is to propose a methodology to design a fuzzy logic based supervision of this new kind of production unit. A graphical modeling tool is proposed to facilitate the analysis and the determination of fuzzy control algorithms adapted to complex hybrid systems. To explain this methodology, the association of wind generators, decentralized generators and storage systems are considered for the production of electrical power. The methodology is divided in six steps covering the design of a supervisor from the system work specifications to an optimized implementation of the control. The performance of this supervisor is shown with the help of simulations. Finally, the application of this methodology to the supervision of different topologies of HRES is also proposed to bring forward the systematic dimension of the approach.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:matcom:v:81:y:2010:i:2:p:208-224
    DOI: 10.1016/j.matcom.2010.03.003
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    1. 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.
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    1. Das, Barun K. & Hoque, Najmul & Mandal, Soumya & Pal, Tapas Kumar & Raihan, Md Abu, 2017. "A techno-economic feasibility of a stand-alone hybrid power generation for remote area application in Bangladesh," Energy, Elsevier, vol. 134(C), pages 775-788.
    2. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    3. 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.
    4. Ziogou, Chrysovalantou & Ipsakis, Dimitris & Seferlis, Panos & Bezergianni, Stella & Papadopoulou, Simira & Voutetakis, Spyros, 2013. "Optimal production of renewable hydrogen based on an efficient energy management strategy," Energy, Elsevier, vol. 55(C), pages 58-67.
    5. 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.
    6. Abbes, Dhaker & Martinez, André & Champenois, Gérard, 2014. "Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 98(C), pages 46-62.
    7. Das, Barun K. & Al-Abdeli, Yasir M. & Woolridge, Matthew, 2019. "Effects of battery technology and load scalability on stand-alone PV/ICE hybrid micro-grid system performance," Energy, Elsevier, vol. 168(C), pages 57-69.
    8. 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.
    9. Hegazy Rezk & N. Kanagaraj & Mujahed Al-Dhaifallah, 2020. "Design and Sensitivity Analysis of Hybrid Photovoltaic-Fuel-Cell-Battery System to Supply a Small Community at Saudi NEOM City," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    10. Bourbon, R. & Ngueveu, S.U. & Roboam, X. & Sareni, B. & Turpin, C. & Hernandez-Torres, D., 2019. "Energy management optimization of a smart wind power plant comparing heuristic and linear programming methods," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 158(C), pages 418-431.
    11. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2017. "Optimisation of stand-alone hybrid energy systems supplemented by combustion-based prime movers," Applied Energy, Elsevier, vol. 196(C), pages 18-33.
    12. Hatti, M. & Meharrar, A. & Tioursi, M., 2011. "Power management strategy in the alternative energy photovoltaic/PEM Fuel Cell hybrid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 5104-5110.
    13. Aparicio, Néstor & Añó-Villalba, Salvador & Belenguer, Enrique & Blasco-Gimenez, Ramon, 2018. "Automatic under-frequency load shedding mal-operation in power systems with high wind power penetration," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 146(C), pages 200-209.
    14. 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.

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