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Real-time rotor effective wind speed estimation based on actuator disc theory: design and full-scale experimental validation
  • Alan Wai Hou Lio,
  • Fanzhong Meng,
  • Gunner, Chr. Larsen
Alan Wai Hou Lio
Danmarks Tekniske Universitet

Corresponding Author:wali@dtu.dk

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Fanzhong Meng
Danmarks Tekniske Universitet - Riso Campus
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Gunner, Chr. Larsen
Danmarks Tekniske Universitet
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Abstract

{The use of state estimation techniques offers a means of inferring rotor effective wind speed from standard measurements of wind turbines. Typical wind speed estimators rely upon a pre-computed quasi-steady aerodynamic mapping, which describes the relationship between pitch angle and tip-speed ratio and the power coefficient. In practice, the static mapping does not capture the influence of turbine structural dynamics and atmospheric turbulence, inevitably resulting in poor performance of the wind speed estimation. In addition, the turbine aerodynamic properties might not be easily accessible. Thus, this paper presents a rotor effective wind speed estimation method that obviates the requirement for prior knowledge of turbine power coefficients. Specifically, the proposed method exploits a simple actuator disc model, where the aerodynamic power and thrust coefficients can be characterised in terms of axial induction factors. Based on this insight and standard turbine measurements, real-time estimation of rotor effective wind speed and axial induction factors can then be achieved using a simplified turbine drive-train model and an extended Kalman filter. In addition, the actuator disc model can be updated easily over time by calibrating solely two correction factors. Thus, the proposed algorithm presents an alternative for estimating the rotor effective wind speed, which is valuable for numerous applications, for example, LiDAR-assisted control and coherence studies.
14 Jun 20231st Revision Received
19 Jun 2023Submission Checks Completed
19 Jun 2023Assigned to Editor
19 Jun 2023Review(s) Completed, Editorial Evaluation Pending
21 Jun 2023Reviewer(s) Assigned
30 Jun 2023Editorial Decision: Revise Minor
05 Jul 20232nd Revision Received
06 Jul 2023Submission Checks Completed
06 Jul 2023Assigned to Editor
06 Jul 2023Review(s) Completed, Editorial Evaluation Pending
06 Jul 2023Editorial Decision: Accept