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Integrated optimal design and sensitivity analysis of a stand alone wind turbine system with storage for rural electrification

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  • Belouda, M.
  • Jaafar, A.
  • Sareni, B.
  • Roboam, X.
  • Belhadj, J.

Abstract

In this paper, the authors investigate a robust Integrated Optimal Design (IOD) devoted to a passive wind turbine system with electrochemical storage bank: this stand alone system is dedicated to rural electrification. The aim of the IOD is to find the optimal combination and sizing among a set of system components that fulfils system requirements with the lowest system Total Cost of Ownership (TCO). The passive wind system associated with the storage bank interacts with wind speed and load cycles. A set of small power passive wind turbines spread on a convenient power range (2–16kW) are obtained through an IOD process at the device level detailed in previous papers. The system cost model is based on data sheets for the wind turbines and related to battery cycles for the storage bank. From the range of wind turbines, a “system level” optimization problem is stated and solved using an exhaustive search. The optimization results are finally exposed and discussed through a sensitivity analysis in order to extract the most robust solution versus environmental data variations among a set of good solutions.

Suggested Citation

  • Belouda, M. & Jaafar, A. & Sareni, B. & Roboam, X. & Belhadj, J., 2013. "Integrated optimal design and sensitivity analysis of a stand alone wind turbine system with storage for rural electrification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 616-624.
    • Handle: RePEc:eee:rensus:v:28:y:2013:i:c:p:616-624
    DOI: 10.1016/j.rser.2013.08.042
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    Cited by:

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    3. Nikolić, Vlastimir & Sajjadi, Shahin & Petković, Dalibor & Shamshirband, Shahaboddin & Ćojbašić, Žarko & Por, Lip Yee, 2016. "Design and state of art of innovative wind turbine systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 258-265.
    4. Jaafar, A. & Turpin, C. & Roboam, X. & Bru, E. & Rallieres, O., 2017. "Energy management of a hybrid system based on a fuel cell and a Lithium Ion battery: Experimental tests and integrated optimal design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 21-37.
    5. Wajahat Ullah Khan Tareen & Muhammad Aamir & Saad Mekhilef & Mutsuo Nakaoka & Mehdi Seyedmahmoudian & Ben Horan & Mudasir Ahmed Memon & Nauman Anwar Baig, 2018. "Mitigation of Power Quality Issues Due to High Penetration of Renewable Energy Sources in Electric Grid Systems Using Three-Phase APF/STATCOM Technologies: A Review," Energies, MDPI, vol. 11(6), pages 1-41, June.
    6. Dario Pelosi & Michela Longo & Dario Zaninelli & Linda Barelli, 2023. "Experimental Investigation of Fast−Charging Effect on Aging of Electric Vehicle Li−Ion Batteries," Energies, MDPI, vol. 16(18), pages 1-14, September.
    7. Linda Barelli & Gianni Bidini & Paolo Cherubini & Andrea Micangeli & Dario Pelosi & Carlo Tacconelli, 2019. "How Hybridization of Energy Storage Technologies Can Provide Additional Flexibility and Competitiveness to Microgrids in the Context of Developing Countries," Energies, MDPI, vol. 12(16), pages 1-22, August.
    8. Mandelli, Stefano & Barbieri, Jacopo & Mereu, Riccardo & Colombo, Emanuela, 2016. "Off-grid systems for rural electrification in developing countries: Definitions, classification and a comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1621-1646.

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