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基于频谱分辨率自适应的双插值DFT谐波分析方法
引用本文:李恺,向鑫,卜文彬,谭海波,黄红桥,李红斌.基于频谱分辨率自适应的双插值DFT谐波分析方法[J].电测与仪表,2021,58(5):92-97.
作者姓名:李恺  向鑫  卜文彬  谭海波  黄红桥  李红斌
作者单位:国网湖南省电力有限公司供电服务中心(计量中心)智能电气量测与应用技术湖南省重点实验室,长沙410001;华中科技大学电气与电子工程学院,武汉430074
基金项目:国网湖南省电力有限公司科技项目(5216AB180007)。
摘    要:插值FFT作为一种常用的电力系统谐波分析方法,在抑制谱间干扰、宽带噪声等方面存在一定不足。文章提出了一种基于频谱分辨率自适应的双插值DFT谐波分析方法。该方法基于窗函数、插值方法对算法谱间干扰误差和宽带噪声误差的影响机理,通过频谱分辨率自适应以抑制基波对谐波计算的频谱干扰,并通过倍频逆推求整次谐波,避免插值计算谐波带来的误差。仿真结果表明,所提出的算法相比于双插值FFT和三插值FFT算法具有更高的计算精度。

关 键 词:插值DFT  谱间干扰  宽带噪声  频谱分辨率自适应  倍频
收稿时间:2019/6/13 0:00:00
修稿时间:2019/6/13 0:00:00

Two-weighted Interpolation DFT Harmonic Analysis Algorithm Based on Spectrally-resolution Adaptive
likai,xiangxin,buwenbin,Tan Haibo,huang hongqiao and lihongbin.Two-weighted Interpolation DFT Harmonic Analysis Algorithm Based on Spectrally-resolution Adaptive[J].Electrical Measurement & Instrumentation,2021,58(5):92-97.
Authors:likai  xiangxin  buwenbin  Tan Haibo  huang hongqiao and lihongbin
Affiliation:(Hu′nan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology,Power Supply Service Center(Metrology Center),State Grid Hu’nan Electric Power Company,Changsha 410001,China;School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)
Abstract:The multi-weighted interpolation FFT is a commonly algorithm of harmonic analysis for power systems.However,there are deficiencies in suppressing inter-spectral interference and broadband noise.This paper proposes a novel two-weighted interpolation DFT harmonic algorithm based on spectrally-resolution adaptive.Based on the influence mechanism of window function and interpolation method on inter-spectral interference error and wide-band noise error of the algorithm,the spectral interference of the fundamental wave to the harmonic calculation is adaptively suppressed by the spectral resolution,and the whole harmonic is obtained by the multiplication of the frequency,so as to avoid the error caused by the interpolation calculation of the harmonic.The simulation results verify that the algorithm has a better precision compared with two-weighted interpolation FFT and three-weighted interpolation FFT algorithm.
Keywords:interpolation DFT  inter-spectral interference  broadband noise  spectrally-resolution adaptive  frequency multiplication
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