Spectral Correction Approach Based on Desirable Sidelobe Window for Harmonic Analysis of Industrial Power System
Spectral Correction Approach Based on Desirable Sidelobe Window for Harmonic Analysis of Industrial Power System
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DOI：
10.1109/tie.2012.2189531
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发表时间：
2013-03
影响因子：
7.7
通讯作者：
He Wen;Zhaosheng Teng;Yong Wang;Xiaoguang Hu
中科院分区：
文献类型：
--
作者：
He Wen;Zhaosheng Teng;Yong Wang;Xiaoguang Hu
提出了一种基于加窗快速傅立叶变换的工业电力系统谐波分析新方法。首先，通过对最大衰减旁瓣窗(MDW)进行时间域自卷积得到理想的旁瓣窗口(DSW)。然后，利用基于离散相位差修正的离散相位差校正算法计算出电力系统信号的频率、相位和幅值等参数。结果表明，由于DSW具有良好的旁瓣特性，即峰值旁瓣电平和旁瓣滚动率与窗的阶数(或自卷积次数)成正比，用DSW对样本进行加权可以大大减少频谱泄漏和谐波干扰。基于离散小波的离散相位差校正算法运算量小，易于在嵌入式系统中实现。通过仿真和实验数据验证了该方法的有效性和实用性。
A novel approach to harmonic analysis for industrial power systems based on windowed fast Fourier transform is presented. First, the desirable sidelobe window (DSW) is constructed through self-convolution of the maximum decay sidelobe window (MDW) in the time domain. Then, the power system signal parameters, i.e., frequency, phase, and amplitude, are calculated by the DSW-based discrete phase difference correction algorithm. It has been shown that the spectral leakage and harmonic interferences can be reduced considerably by weighting samples with the DSW because of its good sidelobe behaviors, i.e., the peak sidelobe level and the sidelobe rolloff rate are proportional to the order of the window (or the times of self-convolution). The DSW-based discrete phase difference correction algorithm can be easily implemented in embedded systems due to the low computation burden. Both simulative and experiment data tests have been performed to verify the effectiveness and practicability of the proposed method.