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Multi-objective optimisation of multifaceted maintenance strategies for wind farms

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  • Yikai Ma
  • Wenjuan Zhang
  • Juergen Branke

Abstract

This paper proposes a way to simultaneously optimise three aspects of maintenance strategies for wind farms: the reliability thresholds that indicate when a component needs maintenance, the priority of maintenance jobs in case there are more jobs than available maintenance teams, and the use of opportunistic maintenance. We use a multi-objective evolutionary algorithm to simultaneously minimise the overall maintenance cost and the system idle time. An empirical study using a complex stochastic simulation demonstrates the benefit of such a multifaceted maintenance strategy over strategies that only consider some aspects.

Suggested Citation

  • Yikai Ma & Wenjuan Zhang & Juergen Branke, 2023. "Multi-objective optimisation of multifaceted maintenance strategies for wind farms," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(5), pages 1362-1377, May.
  • Handle: RePEc:taf:tjorxx:v:74:y:2023:i:5:p:1362-1377
    DOI: 10.1080/01605682.2022.2085066
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    Cited by:

    1. Dui, Hongyan & Zhang, Yulu & Bai, Guanghan, 2024. "Analysis of variable system cost and maintenance strategy in life cycle considering different failure modes," Reliability Engineering and System Safety, Elsevier, vol. 243(C).

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