摘要
快速傅里叶变换是进行电网谐波分析的最主要方法,但是由于实际应用中只能截取有限长序列分析,从而必然产生误差。为了提高谐波分析的精度,该文提出了引入垄断经验学中的赫希曼指数(HHI),来衡量频谱的集中程度,从而得到参与傅里叶变换的最佳序列长度。其中,采用Good-Thomas算法对任意长度序列进行快速准确地基本快速傅里叶变换计算,数据源为80点/周波现场实测Comtrade数据。通过仿真证实,其效果非常显著。并用Qt跨平台语言,实现了基于上述算法的电力系统谐波分析软件。
Fast Fourier transform（FFT）is the most important method used in power system harmonic analysis.However,taking finite-duration signals makes i inaccuracy.In order to improve analysis accuracy,this paper presents a new algorithm based on the concept of Hirschman index（HHI） in the monopoly economics,which evaluates the intensity of frequency spectrun and gets the best sequence length to participate FFT.Good-Thomas algorithm is used to calculate random length sequence apace accurately.The data source is format Comtrade measuring in the on-site.The simulation results demonstrate the effectiveness of the proposed algorithm.Based on above algorithm,a harmonic analysis software of power system is accomplished using Qt,which is a kind of cross-platform programming language.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2011年第1期123-126,共4页
Proceedings of the CSU-EPSA
