Harmonic Detection of Power System Based on SVD and EMD

Wei Wang, Zeng-li Liu, Chen Lin, Weiwei Sha
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引用次数: 4

Abstract

It is greatly significant to detect harmonic accurately and effectively for improving the quality of electric energy in the power system. Actually, much noise exists in signal besides harmonics, inter-harmonics, so the key is how to detect harmonic signals from the complex power system. According to the analysis of harmonic and noise, a new method is proposed in the paper to detect harmonic based on the Empirical Mode Decomposition (EMD) combination with the Singular Value Decomposition (SVD). Applications of three cases into the harmonic wave detecting show that the EMD based on SVD successfully conquers mode aliasing caused by noise. It is effective to detect amplitude and frequency of harmonics from complex signals of power system, proves that the algorithm could effectively and accurately detect harmonic signal.
基于SVD和EMD的电力系统谐波检测
准确有效地检测谐波对提高电力系统电能质量具有重要意义。实际上,信号中除了谐波和间谐波外,还存在着大量的噪声,因此如何从复杂的电力系统中检测谐波信号是关键。在分析谐波和噪声的基础上,提出了一种基于经验模态分解(EMD)和奇异值分解(SVD)相结合的谐波检测方法。三种谐波检测实例表明,基于奇异值分解的EMD方法成功地克服了噪声引起的模式混叠。对电力系统复杂信号中谐波的幅值和频率进行了有效检测,证明了该算法能够有效、准确地检测谐波信号。
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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