基于正交三角函数族的电力系统谐波识别算法

谐波是影响电能质量的重要因素,对谐波进行监测和分析具有重要的意义.基于傅立叶变换与小波变换的算法是目前电力系统谐波分析最常见的分析方法,但两者都存在频谱混叠问题.为了克服传统谐波算法的频谱混叠从而提高检测精度,根据电力系统信号的特点设计了一种新的基于正交三角函数族的谐波识别算法.算法不存在谱间干扰,能得到高精度的稳态谐波分量的幅值与相位信息.通过与FFT、加窗FFT以及小波包算法的对比,算法具有实现简单,分析精度高的优势.仿真试验验证了该算法的可行性.

Power Harmonic Analysis Based on Orthogonal Trigonometric Function Family

Harmonic detection is the basis of harmonic issue and harmonic detection method is the key of harmonic measurement.Based on Fourier Transform and Wavelet Transform,ways and means of detection and analysis are developed,but both of them have the problem of spectrum leakage.In this paper,a novel power harmonic algorithm based on the family of trigonometric functions is developed for the characterization of harmonics.Besides it has overcome the influence of the leakage.This algorithm is also easy to carry out ...