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A Stochastic DEVS Wind Turbine Component Model for Wind Farm Simulation

机译:一种用于风电场模拟的随机开发风力涡轮机组件模型

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Wind farms use several wind turbines to generate electricity and provide a renewable source of energy. However, due to large forces as a result of hourly and seasonal variations in wind speed and direction, wind turbines experience stochastic loading that often lead to failures of wind turbine components such as the gearbox and generator. Wind turbine failures result in costly repairs and loss in revenue, while stochastic loading makes it difficult to predict the actual condition of a wind turbine. Consequently, it is challenging to schedule maintenance actions to avoid wind turbine component failures. In this paper, we present a stochastic discrete event system specification (STDEVS) model of a wind turbine component. In particular, we consider the wind turbine gearbox, which is one of the components that is often prone to failure, and model its stochastic degradation process. We implement a wind farm simulation with the STDEVS gearbox model and report on the impact of gearbox failures and maintenance scheduling on the performance of a wind farm over a 20-year period.
机译:风电场使用多个风力涡轮机产生电力并提供可再生能源来源。然而,由于风速和方向的每小时和季节变化的大力量,风力涡轮机经历随机负载,这些装载通常导致风力涡轮机部件(例如齿轮箱和发电机)的故障。风力涡轮机的故障导致昂贵的维修和收入损失,而随机载荷使得难以预测风力涡轮机的实际情况。因此,安排维护措施以避免风力涡轮机组件故障是挑战。在本文中,我们提出了一种风力涡轮机组件的随机离散事件系统规范(STDEVS)模型。特别是,我们考虑风力涡轮机齿轮箱,其是通常容易出现故障的组件之一,并模拟其随机降解过程。我们使用STDEVS变速箱模型实施了一个风电场模拟,并报告了齿轮箱故障和维护调度在20年期间的风电场性能的影响。

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