With the increase of offshore wind farm size, the use of classical analytical reliability methods becomes computationally intractable. This paper proposes a holistic approach combining multi-state Markov processes and the universal generating function for the availability assessment of radial large-scale offshore wind farms. The proposed model combines multi-state wind turbine output, wind turbine reliability, and inter-array cable reliability models to assess the wind farm output at the point of common coupling. A strategy is developed to split the network into its feeders while still accounting for the wind turbine output dependence, significantly reducing the computational burden. Although the failure rates of inter-array cables are low, their inclusion is pertinent given high repair times and impact on wind farm output given the radial topology of the collection system. A case study on the Anholt wind farm indicates the necessity of accounting for the collection system, showing a significant reduction of 12 % in generation ratio availability for a generation ratio criterion of 95 %.

中文翻译：

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大型海上风电场及其集热系统可用性评估的分析模型


随着海上风电场规模的增加，经典分析可靠性方法的使用在计算上变得困难。本文提出了一种结合多状态马尔可夫过程和通用生成函数的整体方法，用于径向大型海上风电场的可用性评估。所提出的模型结合了多状态风力涡轮机输出、风力涡轮机可靠性和阵列间电缆可靠性模型来评估公共耦合点处的风电场输出。开发了一种策略，将网络分割为其馈线，同时仍然考虑风力涡轮机输出依赖性，从而显着减少计算负担。尽管阵列间电缆的故障率较低，但考虑到修复时间较长以及考虑到收集系统的径向拓扑对风电场输出的影响，将其纳入其中是有意义的。 Anholt 风电场的案例研究表明了考虑收集系统的必要性，结果表明，对于 95% 的发电比率标准，发电比率可用性显着降低了 12%。