Assessment Of Power Quality Disturbances Using Stationary Wavelet Packet Transform Based Digital Hardware

The stationary wavelet packet transform (SWPT) based digital design is presented in this paper for the real-time tracking of power quality disturbances in the electrical power distribution system. In the SWPT technique, wavelet decomposition tree has been built with the MACbased architecture of the low-pass filter and high-pass filter. Here, signal decomposition has been performed by the low-pass filter and high-pass filter, then filter coefficients undergo an upsampling process which produces fundamental and odd harmonic components at the output. In this way, the SWPT technique extracts various frequency components from distorted power supply waveform with respect to time and the perfect location of power quality disturbances. The proposed technique hardware implementation has been completed on the Xilinx Artix-7 FPGA AC701 board by utilizing XSG/Vivado design suite 2018.3. Then digital hardware performance has been validated through experimental test signals, which is a combination of voltage dips, voltage swells, and momentary interruptions. The obtained results prove that the SWPT-based digital design is robust and accurate for real-time tracking of power quality disturbances (PQD).