Multi-dimensional ringdown modal analysis by filtering

Abstract Based on collected data from multiple phasor measurement units (PMUs), this paper investigates and establishes the advantages of Taylor, Kalman, and Fourier filters for extracting relevant modal information of power system responses after a large disturbance takes place. The main strengths of the filters-based approach are speed estimation, ability to track different damping levels and receive multiple measurement channels for their processing by a multi-dimensional ringdown analysis. The proposals are tested under noisy conditions in simulated data and actual measurements, for showcasing the capability of identifying multiple electromechanical modes and for providing global information about modal properties of the power system. Proper results exhibit the performance of the proposition, enabling to establish it into a wide-area measurements system.

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