Online Identification of Power System Oscillation Modes Based on Mode Shape Matching

This paper proposes a novel online mode identification formula, which firstly applies the results from modal analysis to online mode identification and so overcomes the defect of measurement-based methods that results from them cannot be directly used to damp oscillations. In this formula, a Prony-based multi-signal processing (PMP) method is developed to estimate the mode shape from ringdown data and a mode shape matching method is firstly introduced for finding out which modes are activated in the real-time oscillation of a large-scale power system. Simulation studies based on China Southern Power Grid have been carried out to verify the correctness and applicability of the proposed formula and methods.