The superposition of the random harmonic phasors based on the cloud model

Bo Tang, Shiwei Ma, Guang Chen, Yu Lu, Shunfu Lin
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Abstract

A novel method based on the cloud model for the superposition of the distributed random power harmonics is presented in this paper. Three characteristic quantities (Ex, En and He) of the measured harmonic phasors are calculated by the cloud model inverse generator. The probability density function described by the cloud model is presented to obtain the 95% probability value of the harmonics. Field tests results prove that the presented method has a good performance even with small volume of samples, which does not need the particular probability distribution of each random phasor.
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基于云模型的随机谐波相量叠加
本文提出了一种基于云模型的分布式随机功率谐波叠加新方法。利用云模式逆发生器计算了实测谐波相量的三个特征量Ex、En和He。提出了云模型描述的概率密度函数,得到了谐波的95%概率值。现场测试结果表明,该方法在小样本体积下也具有良好的性能,不需要每个随机相量的特定概率分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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