An adaptive method for oscillations monitoring in power systems with high penetration of renewable energy

This paper proposes an adaptive monitoring method for wideband, multimodal, and time-varying oscillations in power systems with high penetration of renewable energy. The method is based on the sliding windowed interpolation FFT (SWIFFT) technique and adaptive threshold spectral filtering method to accurately identify the amplitude, frequency, phase, and damping coefficients of the oscillation modes in each segment. Additionally, the time-domain relationships of these parameters are established, enabling real-time monitoring of the oscillations. Finally, the proposed method is tested using a 5-mode example signal and a simulation system measurement signal. The results demonstrate that this method can accurately identify the parameters of complex oscillation signals, enabling real-time monitoring of oscillations. It exhibits flexibility in adapting to various oscillation scenarios and meets the signal characteristic requirements in modern power systems.