期刊文献+

用于电力系统谐波分析的加窗插值FFT算法研究 被引量:38

Study on Windows and Interpolated FFT Algorithm for Harmonic Analysis in Power System
下载PDF
导出
摘要 分析了传统傅利叶算法的误差原因 ,提出了运用加窗减少泄漏误差、通过插值算法限制栅栏效应的方法。与以往加窗插值法不同的是 :利用卡当公式 (Cardan)推导出 3、4项窗的一般求解公式。用此法仿真计算电网信号的结果表明 :对于频率和幅值 ,各种窗具有很高的精度 ;4项窗所得相位误差较大。综合考虑频率、幅值和相位 3个因素 ,则用 3项窗精度最高 ,其旁瓣最小衰减达到 5 9 7dB ,满足电力系统谐波分析的需要。 In this paper the reasons causing the error of conventional FFT algorithm are studied. A method to diminish the leakage error by adding windows and then limit the picket fence effect by the interpolating algorithm is presented. Unlike the conventional interpolating windowed algorithm, the newly proposed algorithm deduces calculating formulas of 3-term and 4-term windows using Cardan formula. Power system signals are simulated and calculated with this method, all kinds of windows have high accuracy for the frequency and magnitude, however, for the phase the result obtained by 4-term windows have notable error. Three factors including frequency, magnitude and phase are taken into comprehensive consideration, when 3-term windows are chosen this method have the highest accuracy and the least attenuation of its side-lobe can reach to -59.7 dB, it meets the requirement of harmonic analysis in power system.
出处 《高电压技术》 EI CAS CSCD 北大核心 2004年第8期52-55,共4页 High Voltage Engineering
关键词 傅利叶变换 谐波 插值 栅栏效应 Fourier transform harmonics interpolarte fence effect
  • 相关文献

参考文献8

二级参考文献5

  • 1[1]HarrieFJ. On the use of windows for harmonic analysis with the discrete Fourier transform. Proc IEEE., 1978, 66:51~83
  • 2[2]Thomas Grandke. Interpolation algorithms for discrete Fourier transforms of weighted signals. IEEE Trans IM,1983, 32:350~355
  • 3[3]Alessandro Ferrero. High-accuracy Fouier analysis based on synchronous sampling techniques. IEEE Trans IM, 1992,4: 780~ 785
  • 4[4]Jiangtao xi. A new algorithm for improving the accuracy of periodic signal analysis. IEEE Trans IM, 1996, 8: 827 ~830
  • 5[5]Peter E. Sutherland hamohic measurements in industrial power system, IEEETrans IA, 1995, 31 (1) :175~183

共引文献632

同被引文献335

引证文献38

二级引证文献288

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部