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An Improved Sub-harmonic Analysis Method Based on Negative Frequency Effects

机译:一种基于负频率效应的副谐波分析方法

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Complex frequency signals are adopted for power harmonic analysis generally, whereas the actual measured signal is always a discrete cosine signal, which contains negative frequency components according to Euler's equation. Taking the negative frequency components into account, an improved multilayer DFT interpolation correction method is proposed based on negative frequency effects. The proposed method is applied to harmonic parameter identification, which can reduce spectral leakage by adding a window function, phase rotation and odd-point interpolation operation. Different frequencies and amplitudes of harmonics are analyzed. The results show that the proposed method has a higher accuracy when the analytical signal is mixed with low-frequency components, and the improved method gets more obvious advantages in sub-harmonic parameter estimation.
机译:通常用于功率谐波分析的复频信号通常,而实际测量信号始终是离散余弦信号,其包含根据欧拉方程的负频率分量。 考虑到负频率分量,提出了一种改进的多层DFT插值校正方法,基于负频率效应提出。 该提出的方法应用于谐波参数识别,这可以通过添加窗口函数,相位旋转和奇点插值操作来减少光谱泄漏。 分析了不同的频率和谐波的幅度。 结果表明,当分析信号与低频分量混合时,所提出的方法具有更高的精度,并且改进的方法在副谐波参数估计中获得更明显的优势。

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