Power Quality Detection Method Based on Lifting Wavelet and Fast Fourier Transform

In order to obtain power quality disturbance information accurately and efficiently, a power quality disturbance detection method based on lifting wavelet and fast Fourier transform (FFT) is proposed. Firstly, we use Euclidean algorithm to realize db4 wavelet transform, and verify the characteristics and shortcomings of lifting algorithm in processing transient and steady-state disturbance signals. Then, fast Fourier transform is carried out on the reconstructed steady-state component by utilizing the decomposition and reconstruction characteristics of lifting wavelet transform, so as to make up for the defects of steady-state disturbance processing by lifting wavelet and realize accurate and fast detection of transient and steady-state complex disturbance. The mode maximum is used to judge power quality disturbance in advance. The simulation results show that the proposed method can judge and deal with power quality in complex cases involving transient state and steady state, and has higher positioning accuracy and accuracy than traditional wavelet transform, which verifies the accuracy and efficiency of the proposed method for power quality disturbance detection