A wavelet based synchronized waveform measurement unit algorithm

Power systems with high penetrations of inverter-based resources are increasingly vulnerable to severe disturbances which may manifest as non-stationary voltage and current waveforms, presenting challenges to phasor measurement units which assume quasi-stationary conditions. Time synchronized, high-resolution, waveform measurements have emerged as a solution to accurately monitor emerging system dynamics. This paper proposes a synchronized waveform measurement unit algorithm to detect and characterize transient and dynamic phenomena present in synchronized waveform measurements. The proposed method utilizes the discrete wavelet packet transform to represent non-sinusoidal transients, while the adaptive empirical wavelet transform is applied to extract the fundamental and possible oscillation components. Finally, dynamic phasor extraction is performed via the Hilbert transform. The performance of the proposed algorithm is evaluated using synthetic test signals and compared to a phasor measurement unit algorithm using a goodness of fit metric. The results indicate that the proposed method produces an accurate and sparse representation of the underlying signal dynamics. The proposed method can potentially reduce communication requirements associated with high resolution synchronized waveform measurements, thus enabling real-time synchronized waveform-based applications.