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Multiple Model Predictive Control for Wind Turbines With Doubly Fed Induction Generators

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3 Author(s)
Soliman, M. ; Electr. Eng. Dept., Univ. of Calgary, Calgary, AB, Canada ; Malik, O.P. ; Westwick, D.T.

A multivariable control strategy based on model predictive control techniques for the control of variable-speed variable-pitch wind turbines is proposed. The proposed control strategy is described for the whole operating region of the wind turbine, i.e., both partial and full load regimes. Pitch angle and generator torque are controlled simultaneously to maximize energy capture, mitigate drive train transient loads, and smooth the power generated while reducing the pitch actuator activity. This has the effect of improving the efficiency and the power quality of the electrical power generated, and increasing the life expectancy of the installation. Furthermore, safe and acceptable operation of the system is guaranteed by incorporating most of the constraints on the physical variables of the wind energy conversion system (WECS) in the controller design. In order to cope with nonlinearities in the WECS and continuous variations in the operating point, a multiple model predictive controller is suggested which provides acceptable performance throughout the whole operating region.

Published in:

Sustainable Energy, IEEE Transactions on  (Volume:2 ,  Issue: 3 )