|Kalman Filter-based Wind Speed Estimation for Wind Turbine Control
Dongran Song, Jian Yang, Mi Dong*, and Young Hoon Joo*
International Journal of Control, Automation, and Systems, vol. 15, no. 3, pp.1089-1096, 2017
Abstract : "To improve power production and reduce loads on turbine components, exact wind speed information is
required in modern wind turbine controllers. However, the wind speed measured on the nacelle is imprecise because
of its drawbacks of single point measurement and non-immunity to disturbances. To solve this problem, the EWS
(Effective Wind Speed) estimator has been proposed as an alternative. According to the literatures, there are two
kinds of EWS estimator, that is, the KF-based estimator and the EKF-based one. Where, the former is applied to
estimate the aerodynamic torque, then the EWS is numerically calculated; and the latter directly estimate the EWS.
Since the estimate EWS significantly affect the controller’s effectiveness, their performance needs to be clarified.
To fully investigate the two estimators, there is a need to evaluate their performance on an even platform. In this
paper, we present comparative studies on these two methods. Their advantages and drawbacks are investigated
on the commercial turbine design software-bladed and compared through detailed simulation results. Finally, we
demonstrate some simulation results and differences between the KF-based estimator and the EKF-based one."
Extended Kalman filter, Kalman filter, wind speed estimation, wind turbine.
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