Harmonic frequency estimation of power systems

J. Wu, B.T. He, Y. Hu, D. Luo, Y. Liang
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引用次数: 0

Abstract

This paper presents a hybrid technique for harmonic frequency estimation of nonsinusoidal signals of power systems with high order harmonics using central numerical differentiation and digital FIR filter algorithm. A digital low-pass FIR filter is used to obtain the discrete values of the fundamental sinusoidal component, and a set of digital band-pass FIR filter is applied to compute the discrete values of the harmonic component. Using 6 points numerical differentiation, these discrete values are used for fundamental and harmonic frequency estimation. For a signal with 20 harmonics, the technique requires at most 2 cycles (40 ms) for the first time of estimation computation, and requires at most 1 cycle for the latter estimation. Comparing with other existing techniques, the proposed algorithm is characteristic of high accuracy and much less time. With satisfactory results, a study example is given to illustrate the proposed algorithm in Matlab.
电力系统谐波频率估计
本文提出了一种利用中心数值微分和数字FIR滤波算法对高次谐波电力系统非正弦信号进行谐波频率估计的混合技术。采用数字低通FIR滤波器获得基波正弦分量的离散值,采用一组数字带通FIR滤波器计算谐波分量的离散值。使用6点数值微分,这些离散值用于基频和谐波频率估计。对于有20个谐波的信号,该技术第一次估计计算最多需要2个周期(40 ms),后一次估计最多需要1个周期。与现有技术相比,该算法具有精度高、耗时短的特点。最后,通过Matlab实例对该算法进行了验证,取得了满意的结果。
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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