Multi-objective optimisation of multifaceted maintenance strategies for wind farms
提出一种同时优化风电场维护策略中可靠性阈值、任务优先级和机会维护的方法，使用多目标进化算法最小化总维护成本和系统闲置时间，仿真证明其优于仅考虑部分方面的策略。
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.