NDLI: Model predictive control of wind turbines using uncertain LIDAR measurements

Content Provider	IEEE Xplore Digital Library
Author	Mirzaei, M. Soltani, M. Poulsen, N.K. Niemann, H.H.
Copyright Year	2013
Description	Author affiliation: Dept. of Energy Technol., Aalborg Univ., Esbjerg, Denmark (Soltani, M.) \|\| Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark (Niemann, H.H.) \|\| Dept. of Appl. Math. & Comput. Sci., Tech. Univ. of Denmark, Lyngby, Denmark (Mirzaei, M.; Poulsen, N.K.)
Abstract	The problem of Model predictive control (MPC) of wind turbines using uncertain LIDAR (LIght Detection And Ranging) measurements is considered. A nonlinear dynamical model of the wind turbine is obtained. We linearize the obtained nonlinear model for different operating points, which are determined by the effective wind speed on the rotor disc. We take the wind speed as a scheduling variable. The wind speed is measurable ahead of the turbine using LIDARs, therefore, the scheduling variable is known for the entire prediction horizon. By taking the advantage of having future values of the scheduling variable, we simplify state prediction for the MPC. Consequently, the control problem of the nonlinear system is simplified into a quadratic programming. We consider uncertainty in the wind propagation time, which is the traveling time of wind from the LIDAR measurement point to the rotor. An algorithm based on wind speed estimation and measurements from the LIDAR is devised to find an estimate of the delay and compensate for it before it is used in the controller. Comparisons between the MPC with error compensation, the MPC without error compensation and an MPC with re-linearization at each sample point based on wind speed estimation are given. It is shown that with appropriate signal processing techniques, LIDAR measurements improve the performance of the wind turbine controller.
Starting Page	2235
Ending Page	2240
File Size	1179882
Page Count	6
File Format	PDF
ISBN	9781479901777
ISSN	07431619
e-ISBN	9781479901784
DOI	10.1109/ACC.2013.6580167
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Wind speed Wind turbines Laser radar Measurement uncertainty Mathematical model Delays Predictive control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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