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

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