A Novel Model Predictive Speed Controller for PMSG in Wind Energy Systems

Mai N. Abuhashish, Ahmed A. Daoud, Medhat H. Elfar

Abstract


Abstract- In the present study, the machine-side converter (MSC) for a wind turbine (WT) system is controlled using a novel model predictive speed control (MPSC) technique. This MPSC is applied to the permanent magnet synchronous generator (PMSG).  The novel MPSC is designed using a hybrid maximum power point tracking (MPPT) algorithm and this assists in capturing the maximum possible wind power. The proposed control technique allows for controlling both electrical and mechanical variables simultaneously within single control loop. As a result, the conventional cascaded structure of proportional-integral (PI) controllers is eliminated, which enhances the system dynamic response. As the suggested MPSC is a model-based control strategy; therefore, its performance is evaluated under various PMSG parameters. In the grid-side converter (GSC), a model predictive current control (MPCC) approach is employed in order to achieve the active and reactive power control. This is accomplished by controlling the grid currents in a decoupled manner. A complete model of WT system with direct-driven PMSG is conducted using MATLAB/Simulink. The proposed MPSC performance is investigated. Moreover, its performance is compared with a classical PI speed controller under various wind conditions. Based on the simulation results, it is indicated that model predictive control (MPC) outperforms the PI controller in handling the system dynamics and shows a good performance for several PMSG parameters.

Keywords


PMSG; MPPT; Wind energy; Model predictive control (MPC); Speed Controller

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DOI (PDF): https://doi.org/10.20508/ijrer.v12i1.12750.g8385

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