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JPE, Vol. 17, No. 1, January 2017
Design and Experimental Validation of a Digital Predictive Controller for Variable-Speed Wind Turbine Systems
Badreddine Babes, Lazhar Rahmani, Abdelmadjid Chaoui, and Noureddine Hamouda
Area Renewable Energy
Abstract Advanced control algorithms must be used to make wind power generation truly cost effective and reliable. In this study, we develop a new and simple control scheme that employs model predictive control (MPC), which is used in permanent magnet synchronous generators and grid-connected inverters. The proposed control law is based on two points, namely, MPC-based torque?current control loop is used for the generator-side converter to reach the maximum power point of the wind turbine, and MPC-based direct power control loop is used for the grid-side converter to satisfy the grid code and help improve system stability. Moreover, a simple prediction scheme is developed for the direct-drive wind energy conversion system (WECS) to reduce the computation burden for real-time applications. A small-scale WECS laboratory prototype is built and evaluated to verify the validity of the developed control methods. Acceptable results are obtained from the real-time implementation of the proposed MPC methods for WECS.
Keyword Maximum power point tracking (MPPT),Model predictive control (MPC),Permanent magnet synchronous generator (PMSG),Wind energy conversion system (WECS)
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