Analysis of Sub-Synchronous Oscillations Using Ewt-Based Algorithm

Sub-synchronous oscillations (SSOs) are one of the biggest threats to the reliability and resiliency of modern power grids. This work proposes an Empirical Wavelet Transform (EWT) based technique for identifying and analyzing sub-synchronous oscillating modes in the power system using phasor measurement data. The phasors from phasor measurement units are preprocessed to check for the presence of oscillating modes. If the presence is confirmed, the signal is decomposed using EWT and the frequency, damping factor and amplitude of the mono-components are estimated through Yoshida’s algorithm and Hilbert’s transform. The superiority of the proposed method is tested using test signals with known parameters and simulated SSO data from IEEE benchmark systems. Results reveal the effectiveness of the proposed method irrespective of the parameters of the signal or noise contamination