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An optimal group maintenance policy for multi-unit offshore wind turbines located in remote areas

机译:偏远地区的多机组海上风机的最佳组维护策略

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摘要

Many offshore wind farms are planned to be built in remote sea locations due to high wind resources. However, the difficulties in accessing and maintaining wind turbines lead to increased operation and maintenance (O&M) costs and subsequently, increased cost of energy (COE). In order to share the maintenance set-up costs and reduce the power production losses, the group maintenance policies are widely used in offshore wind energy industry. In this paper, we investigate an optimal group maintenance policy for a multi-unit wind turbine system located in cold, icy or remote offshore areas. Each individual unit is exposed to a gradual degradation phenomenon that takes place in different forms of wear, corrosion, erosion, fatigue and crack generation. The whole system undergoes an unplanned maintenance action when the degradation level of one of units reaches its critical size; otherwise a planned group maintenance task is conducted at the operational age T (>0). We propose an optimization model to determine the optimal time T* such that the average long-run maintenance cost per unit time is minimized. Finally, the proposed model is applied to a three-bladed rotor system and the results are compared with the individual maintenance of blades.
机译:由于高风资源,许多海上风电场计划在偏远的海域建造。但是,检修和维护风力涡轮机的困难导致运行和维护(O&M)成本增加,进而导致能源成本(COE)增加。为了分摊维护设置成本并减少电力生产损失,组维护策略广泛用于海上风能行业。在本文中,我们研究了位于寒冷,冰冷或偏远海上区域的多机组风力涡轮机系统的最优组维护策略。每个单独的单元都面临逐渐退化的现象,这种现象会以不同形式的磨损,腐蚀,腐蚀,疲劳和裂纹产生发生。当其中一个单元的降级水平达到其临界大小时,整个系统将受到计划外的维护。否则,将在工作年龄T(> 0)进行计划的小组维护任务。我们提出一种优化模型来确定最佳时间T *,以使单位时间的平均长期维护成本最小化。最后,将提出的模型应用于三叶片转子系统,并将结果与​​叶片的单个维护进行比较。

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