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 algorit...

Online power system event identification and classification are crucial to enhancing the reliability of transmission systems. In this paper, we develop a deep neural network (DNN) based approach identify classify events by leveraging real-world measurements from hundreds phasor measurement units (PMUs) labels thousands events. Two innovative designs embedded into baseline model built on convolu...