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

Chengfei Wang, Chongtao Li, Guihong Wu, Zhengchun Du

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

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

  • Abstract: Power system online mode estimation is the best way to observe real-time oscillations. In this paper, we propose 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 active in the real-time oscillation of a large-scale power system. Simulation studies based on IEEE68 system and China Southern Power Grid have been carried out to verify the correctness and applicability of the proposed formula and methods.
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