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文章摘要
基于频谱分辨率自适应的双插值DFT谐波分析方法
Two-weighted Interpolation DFT Harmonic Analysis Algorithm Based on Spectrally-resolution Adaptive
Received:June 13, 2019  Revised:June 13, 2019
DOI:10.19753/j.issn1001-1390.2021.05.013
中文关键词: 插值DFT  谱间干扰  宽带噪声  频谱分辨率自适应  倍频
英文关键词: Multi-weighted interpolation DFT, Interspectral interference, Broadband noise, spectrally-resolution adaptive, Frequency multiplication
基金项目:
Author NameAffiliationE-mail
likai Power Supply Service Center (Metrology Center) of State Grid Hunan Electric Power Company Limited 18338567@qq.com 
xiangxin* Huazhong University of Science and Technology 942900377@qq.com 
buwenbin ower Supply Service Center (Metrology Center) of State Grid Hunan Electric Power Company Limited 276155605@qq.com 
Tan Haibo ower Supply Service Center (Metrology Center) of State Grid Hunan Electric Power Company Limited harbor123@foxmail.com 
huang hongqiao ower Supply Service Center (Metrology Center) of State Grid Hunan Electric Power Company Limited 283952789@qq.com 
lihongbin Huazhong University of Science and Technology lihongbin@hust.edu.cn 
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中文摘要:
      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。该方法利用窗函数、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抑制谐波计算时基波的频谱干扰,并通过倍频逆推求整次谐波避免插值求谐波带来的误差增大。通过仿真,验证了本文提出的算法相比双插值FFT和三插值FFT具有更高计算精度
英文摘要:
      The multi-weighted interpolation FFT is a commonly algorithm of harmonic analysis for power systems. But, there are deficiencies in suppressing inter-spectral interference and broadband noise. This paper proposes a new harmonic analysis which is a two-weighted interpolation DFT algorithm based on spectrally-resolution adaptive. This paper analysis the relationship between the window function, the weighted interpolation method and the error of MWIpDFT algorithm. This paper suppress spectral interference of fundamental waves in harmonic calculation based on spectrally-resolution adaptive, and avoid the increase of error caused by interpolation and harmonics based on multiplier inverse estimation of the entire harmonic. The simulationresults have verified that the algorithm has a better precision than both two-weighted interpolation FFT and three-weighted interpolation FFT algorithm. Keywords:Multi-weighted interpolation DFT, Interspectral interference, Broadband noise, spectrally-resolution adaptive, Frequency multiplication
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