Multi-objective optimisation of multifaceted maintenance strategies for wind farms

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.本文提出一种可同时优化风电场运维策略三大维度的方法：用于判定组件运维时机的可靠性阈值、当运维任务数量超出可用运维团队承载能力时的运维任务优先级，以及机会维修（opportunistic maintenance）的应用方案。本文采用多目标进化算法，以实现总运维成本与系统停机时长的同时最小化。依托复杂随机仿真开展的实证研究表明，相较于仅考量部分维度的运维策略，此类多维度运维策略具备更优的应用效益。