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Harmonic Detection Based on Sliding-windows Iterative of Discrete Fourier Transform and Wavelet Transform

机译:基于滑动窗口迭代的谐波检测离散傅里叶变换和小波变换

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摘要

Aiming at the disadvantages of the present electric parameters detection of power harmonics, a power system harmonic detection technique based on sliding-windows iterative of discrete Fourier transform (SWIDFT) and wavelet transform (WT) are proposed in this paper. Using SWIDFT to detect the fundament components and the total harmonic components and using WT to extract and separate the fundamental harmonic and the high order harmonic contents from the total harmonic components. Simulation results obtained by this algorithm reveal that the proposed method can detect harmonic signal precisely. Therefore, it provides an effective means for power system harmonic analysis and detection.
机译:针对电力谐波的当前电参数检测的缺点,本文提出了一种基于滑动窗口迭代的电力系统谐波检测技术(SWIDET)和小波变换(WT)。使用SWIDFT检测基底部件和总谐波分量,并使用WT从总谐波元件中提取并分离高级谐波含量和高阶谐波内容。通过该算法获得的仿真结果表明,该方法可以精确地检测谐波信号。因此,它为电力系统谐波分析和检测提供了有效的手段。

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