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Harmonic frequency estimation of power systems

机译:电力系统的谐波频率估计

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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.
机译:本文采用中央数值分化和数字FIR滤波器算法,具有高阶谐波的电力系统非轴突信号谐波频率估计的混合技术。数字低通FIR滤波器用于获得基本正弦分量的离散值,并应用一组数字频带传递FIR滤波器来计算谐波分量的离散值。使用6点数值差异化,这些离散值用于基本和谐波频率估计。对于具有20次谐波的信号,该技术需要最多2个循环(40 ms),首次估计计算,并且需要最多需要一个循环以进行后一种估计。与其他现有技术相比,所提出的算法具有高精度的特征,更少的时间。结果具有令人满意的结果,给出了一种研究示例来说明MATLAB中所提出的算法。

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