一种用于电力系统间谐波谱估计的高分辨率算法
A High-resolution Algorithm for Inter-harmonics Spectral Estimation in Power System
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摘要: 本文提出一种基于改进高阶累积量求根MUSIC法的间谐波谱估计新方法。该算法采用4阶累积量来抑制高阶白噪声和高斯噪声,同时,针对传统4阶累积量分辨率低的特点,通过将4阶累积量的对角切片转化为修正协方差阵的线性组合,从而保证算法的高分辨率;并通过构造MUSIC多项式,从而使算法噪声抑制能力进一步增强。仿真结果表明,该方法不仅具有较高的频率分辨率,而且具有较强的稳健性,在噪声污染的情况下能检测出各次谐波和间谐波的频率信息。Abstract: A new method for estimating inter-harmonics spectrum based on the improved cumulants-root MUSIC (IC-RMUSIC) algorithm is presented in this paper. The four-order cumulants is used to restraint high-order white noise and Gaussian noise. To overcome the disadvantage of low-frequency resolution of the traditional four-order cumulants, the diagonal slice of four-order cumulants is transformed into the linear combination of the modified covariance matrices to guarantee the high resolution of algorithm. In addition, by constructing MUSIC polynomial, the noise suppressing capability of this algorithm is further enhanced. Experimental results show this method not only has high frequency resolution, but also can effectively suppress noise, and can get the spectral estimation of harmonics and inter-harmonics in noisy environments.