Design and Experimental Validation of a Digital Predictive Controller for Variable-Speed Wind Turbine Systems


Vol. 17, No. 1, pp. 232-241, Jan. 2017
10.6113/JPE.2019.17.1.232


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 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.


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Cite this article

[IEEE Style]

B. Babes, L. Rahmani, A. Chaoui, N. Hamouda, "Design and Experimental Validation of a Digital Predictive Controller for Variable-Speed Wind Turbine Systems," Journal of Power Electronics, vol. 17, no. 1, pp. 232-241, 2017. DOI: 10.6113/JPE.2019.17.1.232.

[ACM Style]

Badreddine Babes, Lazhar Rahmani, Abdelmadjid Chaoui, and Noureddine Hamouda. 2017. Design and Experimental Validation of a Digital Predictive Controller for Variable-Speed Wind Turbine Systems. Journal of Power Electronics, 17, 1, (2017), 232-241. DOI: 10.6113/JPE.2019.17.1.232.