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Harmonic modelling of PV systems for probabilistic harmonic load flow studies

机译:光伏系统的谐波建模,用于概率谐波潮流研究

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摘要

Probabilistic harmonic load flow (HLF) is currently enjoying renewed popularity. This is not surprising since in the near future, thousands of photovoltaic (PV) systems will be integrated into distribution systems. However, as yet, there is no model capable of explaining PV harmonic current behaviour in probabilistic HLF studies. To fill this gap, the harmonic modelling of PV systems proposed in this paper has three key points. First, it provides an effective model of the relationship between PV harmonic current emission and background harmonic voltages. Second, it statistically characterises PV harmonic currents (relative magnitude and phase angle) at different fundamental-frequency current output intervals using historical time-series data. In this statistical characterisation, the first fifth moments of each PV harmonic current are used to accurately approximate the raw probability density function (PDF) by means of the Legendre series. Finally, the third key point of this harmonic modelling is a method capable of determining the distribution functions of PV harmonic currents (absolute magnitude and phase angle), based on the statistical characterisation and a fundamental-frequency probabilistic PV model. The numerical results obtained confirm the effectiveness of this PV model. Copyright (c) 2014 John Wiley & Sons, Ltd.
机译:概率谐波潮流(HLF)当前正受到新的欢迎。这并不奇怪,因为在不久的将来,成千上万的光伏(PV)系统将集成到配电系统中。但是,到目前为止,还没有模型能够解释概率HLF研究中的PV谐波电流行为。为了填补这一空白,本文提出的光伏系统谐波建模具有三个关键点。首先,它提供了光伏谐波电流发射与背景谐波电压之间关系的有效模型。其次,它使用历史时间序列数据统计地描述了不同基频电流输出间隔下的PV谐波电流(相对幅度和相角)。在此统计特性中,每个PV谐波电流的前五阶矩通过Legendre序列用于精确近似原始概率密度函数(PDF)。最后,该谐波建模的第三个关键点是一种能够基于统计特性和基频概率PV模型确定PV谐波电流的分布函数(绝对幅度和相角)的方法。获得的数值结果证实了该PV模型的有效性。版权所有(c)2014 John Wiley&Sons,Ltd.

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