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Mathematical modeling of wind power estimation using multiple parameter Weibull distribution

机译:基于多参数威布尔分布的风电功率估算数学模型

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Nowadays, wind energy is the most rapidly developing technology and energy source and it is reusable. Due to its cleanliness and reusability, there have been rapid developments made on transferring the wind energy systems to electric energy systems. Converting the wind energy to electrical energy can be done only with the wind turbines. So installing a wind turbine depends on the wind speed at that location. The expected wind power can be estimated using a perfect probability distribution. In this paper Weibull and Weibull distribution with multiple parameters has been used in deriving the mathematical expression for estimating the wind power. Statistically the parameters of Weibull and Weibull distribution are estimated using the maximum likelihood techniques. We derive a probability distribution for the power output of a wind turbine with given rated wind speeds for the regions where the wind speed histograms present a bimodal pdf and compute the first order moment of this distribution.
机译:如今,风能是发展最快的技术和能源,可重复使用。由于其清洁性和可重复使用性,在将风能系统转换为电能系统方面取得了迅速的发展。只能使用风力涡轮机将风能转换为电能。因此,安装风力涡轮机取决于该位置的风速。可以使用完美的概率分布来估计预期的风力。在本文中,使用具有多个参数的Weibull和Weibull分布推导估算风力的数学表达式。统计上,使用最大似然技术估计威布尔和威布尔分布的参数。我们针对风速直方图呈现双峰pdf的区域,在给定额定风速的情况下,得出了风轮机功率输出的概率分布,并计算了该分布的一阶矩。

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