采用小波变换检测和定位电能质量扰动

Detection and location of power quality disturbances by wavelet transform

从小波变换能够突出信号局部特征的特性出发,探讨了多尺度小波变换模极大值与信号突变点之间的关系,分析了对电网电压跌落及周期脉冲等典型电能质量扰动进行检测与定位的方法。为验证方法的有效性,进行了相应的仿真研究。结果证实了小波变换能更精确地检测和定位电能质量扰动。

Based on the property of wavelet transform on stressing local characteristics, the relationship between the modulus maximum of multi-scale wavelet transforms and the sudden-change points of a signal is studied, and the detection and the location of voltage sags and periodic impulses, which are the typical disturbance signals of power quality in power network are analyzed. The simulations show the feasibility of the approach, and the results show that wavelet transforms can more accurately detect and locate power quality disturbances.