Managing Uncertainties in Wind Farm Harmonic Studies Using Unscented Transform

O. Lennerhag, M. Bollen
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Abstract

Uncertainties in power system studies are often considered using Monte Carlo methods, or by the use of deterministic methods, often based on some worst-case assumptions. With an increasing number of uncertainties, there is a need for methods that can estimate statistical parameters from a limited number of calculations. This paper utilizes a method called the Unscented Transform together with Cornish-Fisher expansion to calculate harmonic distortion at the point of connection of a wind farm under different uncertainties. The method is shown to be able to estimate the 95% value of individual harmonics accurately when considering variations in emission and impedance, using only a limited number of calculations.
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利用Unscented变换管理风电场谐波研究中的不确定性
电力系统研究中的不确定性通常使用蒙特卡罗方法或确定性方法来考虑,通常基于一些最坏情况的假设。随着不确定性的增加,需要能够从有限的计算中估计统计参数的方法。本文采用Unscented变换和Cornish-Fisher展开方法,计算了不同不确定性条件下风电场连接点的谐波失真。当考虑到发射和阻抗的变化时,该方法仅使用有限的计算次数就能准确地估计出95%的单个谐波值。
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