Automation of Electric Power SystemsVol. 39, Issue 22, Pages: 83-89(2015)
作者机构:
河海大学能源与电气学院,江苏省,南京市,211100
作者简介:
基金信息:
DOI:
CLC:
Published:2015
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SONG Shuping. [J]. Automation of electric power systems, 2015, 39(22): 83-89.
DOI:
SONG Shuping. [J]. Automation of electric power systems, 2015, 39(22): 83-89.DOI:
五项最大旁瓣衰减窗插值电力谐波分析
摘要
提出一种简单的加窗插值快速傅里叶变换方法
用于非同步采样下的电力谐波分析。首先
分析了五项最大旁瓣衰减窗的时域、频域特性;然后
给出基于五项最大旁瓣衰减窗的插值方法
并推导了谐波幅值、初始相位和频率的计算公式;最后
分别用仿真分析、实验测试对所述方法的有效性进行验证。研究表明
五项最大旁瓣衰减窗具有较好的旁瓣特性
能够充分抑制频谱泄漏;基于五项最大旁瓣衰减窗的插值算法
插值公式简单、有解析解、谐波分析精度高、计算量小
易于在嵌入式系统中实现。
Abstract
A simple windowed interpolation fast Fourier transform (FFT) algorithm is proposed for power harmonic analysis under asynchronous sampling. The time and frequency domain characteristics of 5-term maximum-sidelobe-decay (MSD) window are analyzed first. Then an interpolation approach based on 5-term MSD window FFT is given and the formula of harmonics amplitude
initial phase and frequency are deduced. The approach presented is finally verified by simulations and experimental testing. Results show that the 5-term MSD window has satisfactory sidelobe characteristics for fully suppressing spectral leakage and the 5-term MSD window based interpolation method is easy to realize in embedded systems for its simple interpolated correction formula
closed form expression
highly accurate power harmonic analysis
and low computational burden. This work is supported by National Natural Science Foundation of China (No. 51177039).