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Improved maintenance strategy for the wind turbine system under operating and climatic conditions

Author

Listed:
  • Hajej Zied
  • Rezg Nidhal
  • Kammoun Mohamed Ali
  • Bouzouba Maryem

Abstract

This paper studies and proposes a novel joint policy of production, imperfect and priority maintenance for a wind turbine system connected to battery storage and supply grid. The failure rate of wind farm is closely related to production rate and working time. The objective of this paper is to establish an economical energy production and imperfect maintenance plans minimizing the various costs incurred, taking into account the electricity demand variation, uncertainty of wind velocity, and the service level. The proposed maintenance strategy based on the priority and selective maintenance actions aims to choose the priority components for maintenance, while minimizing the total maintenance cost and ensuring a minimum reliability level for the wind turbine system. To achieve the latter goal, we formulate the reliability model of the wind turbine components by considering the influence of operating and environmental conditions. Numerical examples and sensitivity analyzes are presented to illustrate the significance and the effectiveness of the proposed methodology.

Suggested Citation

  • Hajej Zied & Rezg Nidhal & Kammoun Mohamed Ali & Bouzouba Maryem, 2024. "Improved maintenance strategy for the wind turbine system under operating and climatic conditions," Journal of Risk and Reliability, , vol. 238(2), pages 349-365, April.
  • Handle: RePEc:sae:risrel:v:238:y:2024:i:2:p:349-365
    DOI: 10.1177/1748006X221140445
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    References listed on IDEAS

    as
    1. Sathishkumar Nachimuthu & Ming J. Zuo & Yi Ding, 2019. "A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties," Energies, MDPI, vol. 12(8), pages 1-13, April.
    2. Jinhe Wang & Xiaohong Zhang & Jianchao Zeng & Yunzheng Zhang, 2020. "Optimal dynamic imperfect preventive maintenance of wind turbines based on general renewal processes," International Journal of Production Research, Taylor & Francis Journals, vol. 58(22), pages 6791-6810, November.
    3. M’hammed Sahnoun & David Baudry & Navonil Mustafee & Anne Louis & Philip Andi Smart & Phil Godsiff & Belahcene Mazari, 2019. "Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2981-2997, December.
    4. Michael Patriksson & Ann-Brith Strömberg & Adam Wojciechowski, 2015. "The stochastic opportunistic replacement problem, part I: models incorporating individual component lives," Annals of Operations Research, Springer, vol. 224(1), pages 25-50, January.
    5. Michael Patriksson & Ann-Brith Strömberg & Adam Wojciechowski, 2015. "The stochastic opportunistic replacement problem, part II: a two-stage solution approach," Annals of Operations Research, Springer, vol. 224(1), pages 51-75, January.
    6. Zied Hajej & Rezg Nidhal & Chelbi Anis & Maryem Bouzoubaa, 2020. "An optimal integrated production and maintenance strategy for a multi-wind turbines system," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6417-6440, November.
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