提升小波在暂态电能质量扰动检测与定位中的应用

    Application of lifting wavelet in transient power quality disturbance detection and location

    • 摘要: 针对电力系统暂态扰动信号具有非平稳、突发性的特点,分析了提升小波适合检测暂态扰动信号突变点的特性,提出了应用提升db4小波变换对暂态电能质量扰动信号进行检测与定位的方法。在Matlab仿真环境下运用该方法对电压骤升、电压骤降、电压中断、频率偏差、瞬态振荡、瞬时脉冲等多种暂态电能质量扰动信号进行检测与定位,仿真结果表明,该方法误差可达到毫秒级,可以实现对扰动信号起止时刻更为精确的定位。

       

      Abstract: According to non-stationary and burst capability of the transient power system disturbing signals, this paper analyzed the characteristics of Lifting Scheme Wavelet in detecting transient disturbing signals, proposed a method to detect and locate the transient power quality disturbances by db4 lifting wavelet transform. This method is used for detection and location in the MATLAB environment on the voltage swells, voltage sags, voltage interruption, frequency deviation, transient oscillation, transient pulse and other transient power quality disturbing signals, simulation results indicated that the method had a millisecond level accuracy and can be implemented precisely positioning on starting and ending time of the disturbance signals.

       

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