S变换与欧氏距离在电能质量扰动识别中的应用

Application of S-transform and Euclidean Distance in Power Quality Disturbance Identification

为了满足电能质量扰动检测与分类的需要、进一步提高电能质量扰动识别效率,提出一种S变换与欧氏距离相结合的电能质量扰动识别方法。对电能质量扰动识别方法进行了仿真分析,结果表明:在信噪比为20d B的情况下,电压暂升、电压暂降和电压闪变的识别率较高,而电压中断、谐波和暂态振荡由于受到谐波和噪声干扰,识别率相对较低;随着信噪比的增加,扰动信号的识别率均随之增加。

For purpose of detecting and classifying the power quality disturbances and further enhancing effi- ciency Of identifying power quality disturbances, a power quality disturbance identification method which has S-transform combined with Euclidean distance was proposed and both basic principle of S-transform and the concept of Euclidean distance were introduced. Simulating and analyzing the identification method show that, when the SNR stays at 20dB, this method can recognize voltage swell, voltage dip and voltage flicker accurate- ly but it identifies the voltage interrupt, transient oscillation poorly because of the disturbance from the harmon- ic wave and noise; and with SNR increasing, the rate of identifying disturbance signals becomes increased.