小波变换在电力系统扰动检测中的应用

Application of Wavelet Transform to Detect Power System Disturbances

利用小波变换的时频局域化特征 ,将电力系统中常见的 4种扰动 (电压突降、电压突升、瞬间间断、瞬时振荡 )信号波形的时间和频率信息以可视的形式表现出来。计算机仿真结果表明 :所提出的方法能同时表示出 4种扰动的时间和频率信息 ,从而能有效的检测到这些变化的起始和终止时刻 ,可广泛应用于多种扰动的定位及分析。

A wavelet transform approach is proposed to detect power system disturbances in this paper. With the timefrequency localization characteristics embedded in wavelets, the time and frequency information of the waveform of four power system disturbances including voltage sag, voltage swell, momentary interruption and oscillatory is presented as a visualized scheme. Results of computer simulation illustrate the practicality and advantages of the proposed method for the application.