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

Blade loads; Control strategies; Dynamic effects; Dynamic pitch; Operating parameters; Pitch-control; Speed estimator; Wake mixing; Wind conditions; Wind speed; Renewable Energy, Sustainability and the Environment; Energy Engineering and Power Technology

Abstract :

[en] In the context of wind turbine pitch control for load alleviation or active wake mixing, it is relevant to provide the time- and space-varying wind conditions as an input to the controller. Apart from classical wind measurement techniques, blade-load-based estimators can also be used to sense the incoming wind. These consider blades to be sensors of the flow and rely on having access to the operating parameters and measuring the blade loads. 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 the incoming wind conditions based on the blade bending moments. The internal model in the EKF relies on the blade element momentum (BEM) theory in which we propose accounting for delays between pitch action and blade loads by including dynamic effects. Using large-eddy simulations (LESs) 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.

Disciplines :

Energy

Author, co-author :

Coquelet, Marion ; Université de Mons - UMONS > Faculté Polytechnique > Service des Fluides-Machines ; Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium ; Delft Center for Systems and Control, TU Delft, Delft, Netherlands

Lejeune, Maxime; Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium

Bricteux, Laurent ; Université de Mons - UMONS > Faculté Polytechnique > Service des Fluides-Machines

van Vondelen, Aemilius A.W. ; Delft Center for Systems and Control, TU Delft, Delft, Netherlands

van Wingerden, Jan-Willem ; Delft Center for Systems and Control, TU Delft, Delft, Netherlands

Chatelain, Philippe ; Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium

Language :

English

Title :

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

Publication date :

10 October 2024

Journal title :

Wind Energy Science

ISSN :

2366-7443

eISSN :

2366-7451

Publisher :

Copernicus Publications

Volume :

Issue :

Pages :

1923 - 1940

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://wes.copernicus.org/articles/9/1923/2024/wes-9-1923-2024.pdf

Research unit :

F702 - Fluides-Machines

Research institute :

R200 - Institut de Recherche en Energie

Funders :

H2020 European Research Council
Université de Mons
Technische Universiteit Delft

Funding text :

This research has been supported by the European Research Council, H2020 European Research Council (grant no. 725627), the Universit\u00E9 de Mons (50/50 PhD funding program), and the Technische Universiteit Delft (Hollandse Kust Noord wind farm innovation program, where CrossWind C.V., Shell, Eneco, and Siemens Gamesa are teaming up; funding for the PhDs and post-docs was provided by CrossWind C.V. and Siemens Gamesa).This research benefited from computational resources made available on the Tier-1 supercomputer of the F\u00E9d\u00E9ration Wallonie-Bruxelles, which is an infrastructure funded by the Walloon Region under grant agreement no. 1117545. Computational resources were also provided by the Consortium des Equipements de Calcul Intensif, funded by the Fonds de la Recherche Scientifique de Belgique under grant no. 2.5020.11 and by the Walloon Region.

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since 20 December 2024

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