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Forced oscillations may jeopardize the secure operation of power systems. Tomitigate forced oscillations, locating the sources is critical. In this paper,leveraging on Sparse Identification of Nonlinear Dynamics (SINDy), an onlinepurely data-driven method to locate the forced oscillation is developed.Validations in all simulated cases (in the WECC 179-bus system) and actualoscillation events (in ISO New England system) in the IEEE Task Force testcases library are carried out, which demonstrate that the proposed algorithm,requiring no model information, can accurately locate sources in most cases,even under resonance condition and when the natural modes are poorly damped.The little tuning requirement and low computational cost make the proposedmethod viable for online application.

An Online Data-Driven Method to Locate Forced Oscillation Sources from Power Plants Based on Sparse Identification of Nonlinear Dynamics (SINDy)