Synthetical Modal Parameters Identification Method of Damped Oscillation Signals in Power System

It is vital to improve the stability of power system by accurately identifying modal parameters damped low-frequency oscillations (DLFO) and controlling oscillation in time. A new method based on empirical mode decomposition (EMD), stochastic subspace identification (SSI), Prony algorithms, called synthetical (SMPI) method, developed efficiently matching DLFO which are acquired from SSI algorithm. In this approach, EMD used for denoising raw signals thereby enhancing noise resistance, then using algorithms identify precise assisted parameter matching. demonstrated that proposed SMPI holds great accuracy full including natural frequencies, damping ratios, amplitudes, phase angles with simulated known real-time some case studies. The strategy has effectively overcome weakness a single results promising heighten stabilization systems. Besides, shows potential troubleshoot different fields, such as construction, aeronautics, marine, its satisfactory robustness generalization ability.