A high-resolution FFT-based algorithm for parameter estimation of power system oscillations

Power system stabilizers (PSS) have widely been used to damp out low frequency oscillations in large interconnected power systems. This paper proposes an efficient, accurate, robust, and high-resolution Fourier-based algorithm for estimating the parameters of a damped oscillating waveform. The proposed algorithm can be employed in power system stabilizers (PSSs) to estimate in real time the frequency, damping and the magnitude of an oscillating waveform contained in a short data record. The algorithm can process signals with low SNR while it still permits the resolution of closely-spaced multiple modes. Furthermore, the proposed algorithm can amend the FFT by reducing the leakage and grid effects. A detailed analytical analysis supported by some simulation results is presented