Preprints
https://doi.org/10.5194/wes-2024-56
https://doi.org/10.5194/wes-2024-56
15 May 2024
 | 15 May 2024
Status: a revised version of this preprint is currently under review for the journal WES.

On the robustness of a blade load-based wind speed estimator to dynamic pitch control strategies

Marion Coquelet, Maxime Lejeune, Laurent Bricteux, Aemilius A. W. van Vondelen, Jan-Willem van Wingerden, and Philippe Chatelain

Abstract. Current implementations of wind turbine pitch controllers for load alleviation or active wake mixing use limited information about the incoming wind. While these pitch controllers could benefit from broader wind condition awareness, the lack of suitable sensing methods is limiting. Blade load-based wind speed estimators are an alternative to cup anemometers or LiDARs. In this paper, we wish to verify how robust such estimators are to the control strategy active on the turbine, as it impacts both operating parameters and loads. We use an Extended Kalman Filter (EKF) to estimate incoming wind conditions based on blade out-of-plane bending moments. The internal model in the EKF relies on the Blade Element Momentum (BEM) theory in which we propose to account for delays between pitch action and blade loads by including dynamic effects. Using Large-Eddy Simulations to test the estimator, we show that accounting for the dynamic effects in the BEM formulation is needed to maintain the estimator accuracy when dynamic wake mixing control is active.

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Marion Coquelet, Maxime Lejeune, Laurent Bricteux, Aemilius A. W. van Vondelen, Jan-Willem van Wingerden, and Philippe Chatelain

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2024-56', Anonymous Referee #1, 30 May 2024
  • RC2: 'Comment on wes-2024-56', Anonymous Referee #2, 20 Jun 2024
  • AC1: 'Comment on wes-2024-56 - Response to Reviewer Comments', Marion Coquelet, 10 Jul 2024
Marion Coquelet, Maxime Lejeune, Laurent Bricteux, Aemilius A. W. van Vondelen, Jan-Willem van Wingerden, and Philippe Chatelain
Marion Coquelet, Maxime Lejeune, Laurent Bricteux, Aemilius A. W. van Vondelen, Jan-Willem van Wingerden, and Philippe Chatelain

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Short summary
An extended Kalman filter is used to estimate the wind impinging on a wind turbine based on the blade bending moments and a turbine model. Using Large-Eddy Simulations, this paper verifies how robust the estimator is to the turbine control strategy, as it impacts loads and operating parameters. It is shown that including dynamics in the turbine model to account for delays between actuation and bending moments is needed to maintain the accuracy of the estimator when dynamic pitch control is used.
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