小波多分辨率算法在电力谐波检测中的应用

在电力系统中,由于非线性负载广泛应用,电网被注入了大量谐波电流,给电力系统中的设备带来很大的危害;为了防止谐波危害系统安全运行,就必须确切掌握电力系统中畸变波形含有的谐波情况,并采取相应措施对其进行抑制或补偿;文中基于多分辨率小波分析法,利用Daubechies小波db24进行7级重构将电流信号分解为基波信号和高次谐波信号;通过Matlab7.0仿真和误差分析,分离出的基波误差不超过1%,实现了谐波变化趋势的有效跟踪,并利用总畸变分量对其进行了有效补偿。

Application of Wavelet Multi-resolution Algorithm to Harmonic Monitor in Electric Power System

In electric power system,the power network is injected with much harmonic current on account of the widespread use of the nonlinear load,which does great harm to the equipment in electric power system.In order to prevent harmonic current from influencing the safety of the system's operation,we should know well how much the distorted wave contains harmonic and take corresponding measure to make suppression or compensation of it.By using a kind of multi-resolution wavelet method,this article has made 7 levels of restructuring by using Daubechies wavelet db24 to decompose the electric current signal into the fundamental wave signal and the high-order harmonic sig- nal.By means of the MATLAB simulation and error analysis,the error of fundamental wave separated is less than 1%,which realizes an ef- fective harmonic tracking and gives an effective compensation by making use of total distorted component.