Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-523-2022
https://doi.org/10.5194/wes-7-523-2022
Research article
 | 
11 Mar 2022
Research article |  | 11 Mar 2022

Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach

Yichao Liu, Riccardo Ferrari, and Jan-Willem van Wingerden

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on wes-2021-2', Ervin Bossanyi, 29 Jan 2021
    • AC1: 'Reply on CC1', Yichao Liu, 08 Feb 2021
      • CC2: 'Reply on AC1', Ervin Bossanyi, 09 Feb 2021
  • RC1: 'Comment on wes-2021-2', Torben Knudsen, 04 Mar 2021
  • RC2: 'Comment on wes-2021-2', Anonymous Referee #2, 28 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yichao Liu on behalf of the Authors (25 Nov 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (04 Jan 2022) by Alessandro Croce
ED: Publish as is (18 Jan 2022) by Alessandro Croce
ED: Publish as is (24 Jan 2022) by Joachim Peinke (Chief editor)
AR by Yichao Liu on behalf of the Authors (03 Feb 2022)  Manuscript 
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Short summary
The objective of the paper is to develop a data-driven output-constrained individual pitch control approach, which will not only mitigate the blade loads but also reduce the pitch activities. This is achieved by only reducing the blade loads violating a user-defined bound, which leads to an economically viable load control strategy. The proposed control strategy shows promising results of load reduction in the wake-rotor overlapping and turbulent sheared wind conditions.
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