Research on Power Quality Data Compression Algorithm Based on Complex Wavelet Transform

With the development of smart grid and new energy grid-connected technology, a large number of nonlinear, sensitive, and impact loads are widely used in modern power systems. In order to improve the shortcomings of large amount of data and low recognition rate in power quality signal disturbance identification based on wavelet, this paper proposes a power quality data compression algorithm based on complex wavelet transform. Through the improved energy threshold method, the threshold value is set by using the energy average correction coefficient to keep the compressed energy above 99%, thus ensuring that the distortion of the reconstructed signal is very small and adaptively eliminating the noise added to the disturbed signal. This method can perform real-time multi-resolution analysis on the data signal of power quality disturbance, and filter and retain the wavelet transform coefficients related to the disturbance at all scales, so as to realize real-time compression. The simulation results show that the operation efficiency of the power quality data compression algorithm based on complex wavelet transform has been greatly improved. At the same time, the recognition accuracy of the algorithm reaches 95.49%, which proves the feasibility of the data compression method. It is hoped that this research can provide some reference for the field of power quality data compression.