Surveying power harmonic using the special effect on detecting singularity point and high resolving degree in time domain of wavelet , combined with the exact frequency resolving ability of fast fourier transform 利用小波变换突出的奇异点监测效果和较高的时域分辨率，结合快速傅立叶变换准确的频域分辨能力进行电力系统谐波分析。
In recent years , along with the extensively application of the power electronic technology , the pollution of the harmonics becomes more and more seriously and it influences the electric power quality seriously 近年来,随着电力电子技术的广泛应用,电力系统谐波污染日益严重,成为影响电能质量的公害,谐波及间谐波问题已经引起广泛关注。
We bringed forward harmonic wave testing means which is based upon wavelet transform , and follow the change of electric system harmonic wave current time , and accurately tested the harmonic wave signal of abruptly arisen and disappear 提出了基于小波变换的谐波检测方法，可以实时跟踪电力系统谐波的变化，能够准确的检测到突然出现和消失的谐波信号。
The harmonic pollution and its harm are introduced , and a general description about the development of harmonic elimination in power system and application foreground of active power filter is given in this paper at first 本文首先介绍了谐波污染情况及其严重的危害性，综述了国内外电力系统谐波抑制技术的发展概况以及有源电力滤波器在谐波抑制中的应用前景。
This paper analyses the harm of power system harmonics . it also points out the significance of harmonics measuring and the developing condition of harmonics measuring device , and points out the significance of the research of this paper 论文分析了电力系统谐波产生的原因及其危害，指出谐波测量的重要意义及谐波测量装置的发展状况，说明本论文研究的重要意义。
Finally , the headwaters of harmonic current and its harms to power system are discussed , the influences of harmonic currents to short - circuit verifying are analyzed , some parameters are gained according to the analyse on vibration spectrum of the electrodynamic stress 最后，讨论了电力系统谐波的产生原因及其危害，分析了电力谐波对短路动稳定校验的影响，通过对含有谐波的短路电动力的频谱分析，得到相应的动稳定校验参数。
A new harmonic analysis method for electric power systems based on triangle basis functions neural network was presented , the convergence theorem of the algorithm was proposed , and a window function and interpolation algorithm were employed to correct the frequency of fundamental waves 摘要提出了一种新的基于三角基函数神经网络的电力系统谐波测量方法，给出了该神经网络算法的收敛定理，并采用加窗插值算法修正基波频率的准确度。
So power systems harmonic analysis is a significant aspect of power systems research . power system harmonic analysis was realized usually with fast fourier transform ( fft ) , but the method exits spectrum leakage , and can not analyse all harmonic parameters exactly , such as frequency , amplitude and phase , in particular has big phase error 电力系统谐波分析通常都是通过快速傅立叶变换( fft )实现的，但是这种方法存在栅栏效应和频谱泄漏，使计算出的谐波参数即频率、幅值和相位不准，尤其是相位误差很大，无法满足准确的谐波测量要求。
This paper introduces the causes of electric harmonic of electric power system and its harm to electric network and electric equipment , puts forward the comprehensive treating measures involving enhancing harmonic management , establishing and consummating automatic harmonic monitoring system and taking corresponding technical means 文章分析了电力系统谐波产生的原因，综述了谐波对电网及电气设备的危害，提出了综合治理措施，即加强谐波管理，建立和完善谐波自动监测系统。
In this thesis , summarized the basic theories of fourier transformation and the fast fourier transformation that are generally adopted to detect and analyze the electric power harmonic in the electric power supply system . at the same time , summarized the even sample principle , the phenomenon of frequency mix , the window functions and the frequency leaking as so on , those are closely - related to sample from figure signal 简要阐述了电力系统谐波检测分析所普遍采用的傅利叶变换和快速傅利叶变换的基本理论以及与数字信号采样密切相关的均匀抽样定理、频谱混叠现象、窗函数和频谱泄漏等的基本理论。
