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A Model for Assessing the Power Variation of a Wind Farm Considering the Outages of Wind Turbines

机译:考虑风力发电机组停机的风电场功率变化评估模型

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摘要

Most of the published models cannot properly incorporate the outages of wind turbines in estimating the stochastic variation of the wind power output. In reality, wind turbines are exposed to an open and uncontrolled environment, sometimes harsh, to harvest energy from wind. The environmental condition of wind turbines is thus worse than that of the conventional generators. This results in a relatively higher outage probability of the wind turbines, which significantly affects the power output from a wind farm. This paper proposes a model for including the outage probability of wind turbines in simulating the power output of wind farms. The contribution of this paper is in introducing a model to represent the relationship between the outage probabilities of wind turbines and wind speed and then integrating this model with a frequency-domain wind power output model. A numerical simulation approach based on the Monte Carlo method is then proposed to simulate the wind power variation including the outage probability of wind turbines. A validation study based on the field-measured data from a real wind farm shows that the simulated wind power variation matches well with the actual field measurements when the probability-based outage model is included in the calculations.
机译:大多数公开的模型都无法在估计风能输出的随机变化时适当考虑风力涡轮机的故障。实际上,风力涡轮机暴露于开放且不受控制的环境中,有时甚至很恶劣,以从风中获取能量。因此,风力涡轮机的环境条件比常规发电机的环境条件差。这导致风力涡轮机的相对较高的停机概率,这极大地影响了来自风电场的功率输出。本文提出了一个模型,用于在模拟风电场的功率输出中包括风力涡轮机的停机概率。本文的贡献在于引入了一个模型来表示风力涡轮机的中断概率与风速之间的关系,然后将该模型与频域风能输出模型进行集成。然后提出了一种基于蒙特卡罗方法的数值模拟方法,以模拟包括风力涡轮机中断概率在内的风能变化。基于来自真实风电场的现场测量数据进行的验证研究表明,当将基于概率的中断模型包括在计算中时,模拟的风能变化与实际的现场测量非常匹配。

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