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Multi-objective opportunistic maintenance optimization of a wind farm considering limited number of maintenance groups

机译:考虑维护组数量有限的风电场多目标机会性维护优化

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Several different models provided by researchers to maintain a wind turbine, but most of these models only focused on the case involved a single objective optimization problem. In practice, real cases of wind farms lead to multi-objective approach to optimize maintenance efforts. In this paper, based on an opportunistic approach, a multi-objective based model is proposed to optimize the maintenance of a farm involved several different types of wind turbines. The assumptions of stochastic behavior of wind velocity as well as the existence of a limited number for maintenance groups are also considered in this new approach. The proposed model considering imperfect maintenance, attempts (1) maximizing the expected rate of energy and (2) minimizing the total expected costs related to maintenance efforts. The opportunistic approach is also provided by the component's reliability threshold values. The comparative analysis addresses that the capability of the proposed model is more efficient compared to models addressed in literature. (C) 2015 Elsevier Ltd. All rights reserved.
机译:研究人员为维护风力涡轮机提供了几种不同的模型,但是这些模型中的大多数仅关注案例,涉及单个目标优化问题。实际上,风电场的实际案例导致了多目标方法来优化维护工作。在本文中,基于机会主义方法,提出了一种基于多目标的模型来优化涉及几种不同类型风力涡轮机的农场的维护。在这种新方法中,还考虑了风速随机行为的假设以及维护组的数量有限。拟议的模型考虑了不完善的维护,尝试(1)最大化预期的能源消耗率,(2)最小化与维护工作相关的总预期成本。组件的可靠性阈值也提供了机会方法。比较分析表明,与文献中讨论的模型相比,所提出模型的功能更为有效。 (C)2015 Elsevier Ltd.保留所有权利。

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