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Optimal scheduling strategy of O&M task for OWF

机译:OWF的运维任务优化调度策略

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As the offshore wind farm (OWF) is often difficult to access due to weather restrictions, the scheduling strategy of operation and maintenance (O&M) becomes a highly complex task. This study presents an O&M scheduling strategy model considering the priority of O&M task and practise constraints of O&M scheduling. First, the two-stage maintenance division method is introduced to consider the priority of O&M task. The initial division of wind turbines to be maintained is obtained by considering operation status. The second-stage maintenance division considering the available maintenance resources is formed adopting the cluster analysis, which the warning and delayed maintenance wind turbines have become a priority. Then, the practise constraints such as the O&M vessels, technicians, daily working time, maintenance route and others are taken into account in the O&M task scheduling model. The proposed model aims to provide the optimal sequence and routeing of maintenance task such that the maintenance scheduling cost is minimised. Simulation results in the scheduling of O&M task for an OWF confirm the feasibility of the proposed model. Sensitivity analysis is undertaken with respect to daily maintenance time, vessel and technician configuration and weather condition.
机译:由于天气的限制,海上风电场(OWF)经常难以进入,因此运行和维护(O&M)的调度策略变得非常复杂。本研究提出了一种考虑运维任务优先级和运维调度实践约束的运维调度策略模型。首先,引入两阶段维护划分方法来考虑运维任务的优先级。通过考虑运行状态来获得要维护的风力涡轮机的初始划分。通过聚类分析,形成了考虑可用维护资源的第二阶段维护部门,预警和延迟维护风力涡轮机已成为当务之急。然后,在运维任务调度模型中考虑了运维船,技术人员,日常工作时间,维护路线等其他实践约束。提出的模型旨在提供最佳的维护任务顺序和路由,以使维护计划成本最小化。 OWF的O&M任务调度中的仿真结果证实了该模型的可行性。针对日常维护时间,船舶和技术人员配置以及天气状况进行了敏感性分析。

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