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Operations & Maintenance Optimization of Wind Turbines Integrating Wind and Aging Information

机译:流动涡轮机整合风和老化信息的运营与维护优化

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摘要

Operations & maintenance (O&M) of wind turbines (both onshore and offshore) are heavily affected by weather conditions, particularly wind conditions. Current O&M models focused mainly on negative impacts of wind conditions on turbine reliability and maintenance, while ignoring potential maintenance opportunities emerging from dynamic wind velocities. This article addresses this issue by constructing a novel weather-centered O&M framework, integrating wind impacts on: (a) energy production, and (b) maintenance plans. Both the positive (maintenance opportunities) and negative impacts (maintenance delays) of wind conditions are quantified in the framework. Accordingly, a weather-centered opportunistic maintenance policy is developed to enable a flexible maintenance resource allocation. The maintenance model is formulated, and analytical properties regarding optimal maintenance ages are discussed. Furthermore, the net revenue of wind turbines is evaluated using the performance-based contracting (PBC), which captures dynamics of both power generation and operational costs. Experimental results demonstrate the superior performance of our framework in revenue improvement, particularly when facing high failure risks and production losses.
机译:风力涡轮机(陆上和海上)的运营与维护(O&M)受天气条件影响,特别是风能的严重影响。目前的O&M型号主要集中在风力条件对涡轮机可靠性和维护的负面影响,同时忽略了动态风速中出现的潜在维护机会。本文通过构建新的天气以互补的O&M框架来解决这个问题,整合风力影响:(a)能源生产,(b)维护计划。风能的正(维护机会)和负影响(维护延误)在框架中量化。因此,开发了居天气的机会主义维护策略,以实现灵活的维护资源分配。制定了维护模型,讨论了关于最佳维护年龄的分析性能。此外,使用基于性能的合同(PBC)进行评估风力涡轮机的净收入,其捕获发电和运营成本的动态。实验结果表明,我们在收入改善方面的框架卓越的表现,特别是在面临高故障风险和生产损失时。

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