In recent years, renewable resources, especially large-scale wind farms, are increasingly used to generate clean electricity in modern power systems. The penetration level of these power plants is significant, and due to the variation in the wind speed resulting in the variation in the generated power, different aspects of power systems, especially reliability, may be affected that must be studied. Reliability evaluation of power system considering large-scale wind farms is dependent on two factors: the failure rates of composed components including turbine, generator, electrical converters, transformer, and cable and the variation in the generated power arising from variation in the wind speed. In this paper, dependency of different component failure rates on the wind speed variation is considered, and using the Monte Carlo simulation, reliability evaluation of power systems containing large-scale wind farms is performed. A wind farm equipped with the permanent magnet synchronous generator is considered, and the failure rate of composed components considering wind speed variation is determined. Based on the wind speed-dependent failure rate associated with the components of energy conversion system, the important reliability indices of Roy Billinton test system including loss of load expectation and expected energy not supplied are calculated.

中文翻译：

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考虑风速变化的永磁同步发电机风力机可靠性评估

近年来，可再生资源，尤其是大型风电场，越来越多地用于现代电力系统中产生清洁电力。这些发电厂的渗透水平很高，由于风速的变化导致发电量的变化，电力系统的不同方面，特别是可靠性，可能会受到影响，必须加以研究。考虑大型风电场的电力系统可靠性评估取决于两个因素：涡轮机、发电机、变流器、变压器和电缆等组成部件的故障率以及风速变化引起的发电功率变化。本文考虑了不同部件故障率对风速变化的依赖性，并使用蒙特卡罗模拟，对包含大型风电场的电力系统进行可靠性评估。考虑装有永磁同步发电机的风电场，确定了考虑风速变化的组成部件的故障率。基于与能量转换系统组件相关的风速相关故障率，计算了 Roy Billinton 测试系统的重要可靠性指标，包括负载预期损失和预期未提供能量。