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

机译:基于离散傅里叶变换和小波变换的滑窗迭代的谐波检测

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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:针对目前电力谐波电参数检测的弊端,提出了一种基于离散傅里叶变换(SWIDFT)和小波变换(WT)的滑动窗口迭代的电力系统谐波检测技术。使用SWIDFT检测基本成分和总谐波成分,并使用WT从总谐波成分中提取和分离基本谐波和高次谐波含量。该算法的仿真结果表明,该方法可以准确地检测出谐波信号。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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