基于小波多分辨率分析法的电能质量检测

Power quality detecting based on wavelet-multiresolution method

提出了应用小波多分辨率技术进行电能质量检测的方法,并利用重构信号进行了谐波补偿。受扰信号经小波分解形成多频带分量,能够确知干扰发生时刻及受扰程度;选取频带信号,经重构产生补偿分量,可用于补偿受扰信号。针对电压暂降、暂态干扰及电力谐波,应用Daubechies小波进行多分辨率分析。仿真表明所采用的方法在时域和频域具有良好的检测性能,能够刻画出信号的奇异性变化的特点;对谐波检测进行了信号补偿分析,对该法用于实时检测的效果给出了结论。

The authors advance a method for power quality detection using wavelet-multiresolution and utilize the reconstructed signal to compensate the harmonics. After the disturbed signal is decomposed, the disturbing time and level can be identified and the disturbed signal can be compensated by the reconstructed signal. The wavelet-Daubechies is applied to detect voltage sag, transient disturb and harmonics. Simulation results indicate that the method displays a good detecting performance in both time and frequency field and can depict the strange characteristics of the signal.