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Multi-objective opportunistic maintenance optimization of a wind farm considering limited number of maintenance groups

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  • Abdollahzadeh, Hadi
  • Atashgar, Karim
  • Abbasi, Morteza

Abstract

Several different models provided by researchers to maintain a wind turbine, but most of these models only focused on the case involved a single objective optimization problem. In practice, real cases of wind farms lead to multi-objective approach to optimize maintenance efforts. In this paper, based on an opportunistic approach, a multi-objective based model is proposed to optimize the maintenance of a farm involved several different types of wind turbines. The assumptions of stochastic behavior of wind velocity as well as the existence of a limited number for maintenance groups are also considered in this new approach. The proposed model considering imperfect maintenance, attempts (1) maximizing the expected rate of energy and (2) minimizing the total expected costs related to maintenance efforts. The opportunistic approach is also provided by the component's reliability threshold values. The comparative analysis addresses that the capability of the proposed model is more efficient compared to models addressed in literature.

Suggested Citation

  • Abdollahzadeh, Hadi & Atashgar, Karim & Abbasi, Morteza, 2016. "Multi-objective opportunistic maintenance optimization of a wind farm considering limited number of maintenance groups," Renewable Energy, Elsevier, vol. 88(C), pages 247-261.
  • Handle: RePEc:eee:renene:v:88:y:2016:i:c:p:247-261
    DOI: 10.1016/j.renene.2015.11.022
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    References listed on IDEAS

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    1. González, J. Serrano & Rodríguez, Á.G. González & Mora, J. Castro & Burgos Payán, M. & Santos, J. Riquelme, 2011. "Overall design optimization of wind farms," Renewable Energy, Elsevier, vol. 36(7), pages 1973-1982.
    2. Tian, Zhigang & Jin, Tongdan & Wu, Bairong & Ding, Fangfang, 2011. "Condition based maintenance optimization for wind power generation systems under continuous monitoring," Renewable Energy, Elsevier, vol. 36(5), pages 1502-1509.
    3. Eunshin Byon, 2013. "Wind turbine operations and maintenance: a tractable approximation of dynamic decision making," IISE Transactions, Taylor & Francis Journals, vol. 45(11), pages 1188-1201.
    4. Liu, Bin & Xu, Zhengguo & Xie, Min & Kuo, Way, 2014. "A value-based preventive maintenance policy for multi-component system with continuously degrading components," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 83-89.
    5. Robin P. Nicolai & Rommert Dekker, 2008. "Optimal Maintenance of Multi-component Systems: A Review," Springer Series in Reliability Engineering, in: Complex System Maintenance Handbook, chapter 11, pages 263-286, Springer.
    6. Krokoszinski, H.-J., 2003. "Efficiency and effectiveness of wind farms—keys to cost optimized operation and maintenance," Renewable Energy, Elsevier, vol. 28(14), pages 2165-2178.
    7. Shafiee, Mahmood, 2015. "Maintenance logistics organization for offshore wind energy: Current progress and future perspectives," Renewable Energy, Elsevier, vol. 77(C), pages 182-193.
    8. Kerres,, Bertrand & Fischer, Katharina & Madlener, Reinhard, 2014. "Economic Evaluation of Maintenance Strategies for Wind Turbines: A Stochastic Analysis," FCN Working Papers 3/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    9. Ding, Fangfang & Tian, Zhigang, 2012. "Opportunistic maintenance for wind farms considering multi-level imperfect maintenance thresholds," Renewable Energy, Elsevier, vol. 45(C), pages 175-182.
    10. Staffell, Iain & Green, Richard, 2014. "How does wind farm performance decline with age?," Renewable Energy, Elsevier, vol. 66(C), pages 775-786.
    Full references (including those not matched with items on IDEAS)

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