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Keywords

data-driven, sliding mode control, doubly fed induction generator, supplementary wide-area damping control, coordinated control, inter-area low-frequency oscillation

Abstract

Doubly fed induction generator （DFIG ）-based wind turbines have been proven to be effective devices for damping inter-area low-frequency oscillations due to their flexible power regulation capability.However，due to the difficulty of accurately modeling power systems，the complexity and variability of operating conditions，the existence of substantial uncertainties and disturbances，and the coupling of multiple oscillatory modes，it is difficult for traditional model-based supplementary damping control methods with fixed parameters for DFIGs to achieve good damping performance.Therefore，this paper proposes a data-driven coordinated supplementary damping control method for DFIGs.First，partial-form dynamic linearization is used to establish a decoupled multi-input multi-output data-driven model that characterizes the dynamic behavior of a power system with multiple oscillatory modes.Meanwhile，the control parameters are updated in real time according to the I/O data of the power system to adapt to the changing operating conditions of the system.A discrete sliding-mode surface function is then designed to generate a control law that damps multiple oscillations while effectively suppressing the effects of uncertainties and disturbances，as well as coupling among multiple oscillatory modes，on damping performance.Finally，the stability of the system under the proposed method is analyzed，and comparative simulations demonstrate that the proposed method effectively suppresses multimode oscillations while exhibiting strong adaptability and robustness.

DOI

10.19781/j.issn.1673-9140.2026.04.020

First Page

247

Last Page

255

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