论文标题
抓住机会：考虑可及性，生产和机组人员的海上风电场的维护优化
Seizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Accessibility, Production, and Crew Dispatch
论文作者
论文摘要
运营和维护（O＆M）构成了离岸风能成本的主要贡献者。由于离岸涡轮机的苛刻环境，人们对离岸风电场的机会性维护时间表越来越兴趣，其中在机会时会激励对维护任务进行分组。但是，我们对文献的调查表明，关于构成离岸维护的“机会”的统一共识尚无共识。因此，我们提出了一种机会主义维护调度方法，该方法将机会定义为基于机组人员 - 基于dispatch的机遇（由已经派发到附近涡轮机的维护人员发起的），基于生产（预计由预计的低生产水平启动）或基于访问权限（由临时开放的涡轮机访问窗口启动）。我们将问题提出为多阶段的滚动型混合整数线性程序，并提出了一种迭代解决方案算法，以识别最佳的小时维护时间表，该计划发现与使用离岸不足的策略获得的问题相比，该算法截然不同，但发现与获得的算法截然不同，但实质上要好得多。对实际风，波和功率数据进行的广泛数值实验表明，我们所提出的方法在各种关键的O＆M指标上实现了大量的改进。
Operations and Maintenance (O&M) constitute a major contributor to offshore wind's cost of energy. Due to the harsh and remote environment in which offshore turbines operate, there has been a growing interest in opportunistic maintenance scheduling for offshore wind farms, wherein grouping maintenance tasks is incentivized at times of opportunity. Our survey of the literature, however, reveals that there is no unified consensus on what constitutes an "opportunity" for offshore maintenance. We therefore propose an opportunistic maintenance scheduling approach which defines an opportunity as either crew-dispatch-based (initiated by a maintenance crew already dispatched to a neighboring turbine), production-based (initiated by projected low production levels), or access-based (initiated by a provisionally open window of turbine access). We formulate the problem as a multi-staged rolling-horizon mixed integer linear program, and propose an iterative solution algorithm to identify the optimal hourly maintenance schedule, which is found to be drastically different, yet substantially better, than those obtained using offshore-agnostic strategies. Extensive numerical experiments on actual wind, wave, and power data demonstrate substantial margins of improvement achieved by our proposed approach, across a wide variety of key O&M metrics.
