Preprints
https://doi.org/10.5194/wes-2023-145
https://doi.org/10.5194/wes-2023-145
07 Nov 2023
 | 07 Nov 2023
Status: a revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

Combining wake redirection and derating strategies in a wind farm load-constrained power maximization

Alessandro Croce, Stefano Cacciola, and Federico Isella

Abstract. Power derating and wake redirection are two wind farm control techniques proposed in the last decade as means for increasing the overall wind farm power output. While derating operations are associated with a limited gain in terms of farm energy harvesting and with a decrease in turbine loading levels, farm controls based on wake redirection proved, both in silico and experimental tests, to entail significant increases in the overall wind farm power output. However, according to wake redirection strategies, the upstream wind turbines may typically operate at large yaw misalignment angles, and the possible increase in loads that the machines may experience in such conditions represents a source of concern when it comes to testing this control on existing farms that are not specifically designed for prolonged misaligned operations. In this work, it is first demonstrated that a suitable derating level can compensate for the increase in the rotor loads associated with large misalignment angles. Secondarily, two load-constrained wind farm controls based on a combination of wake redirection and derating are proposed with the aim of maximizing the overall farm output while maintaining unaltered the design load envelope of the wind turbines operating within the controlled wind farm.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Alessandro Croce, Stefano Cacciola, and Federico Isella

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-145', Anonymous Referee #1, 17 Dec 2023
    • AC1: 'Reply on RC1', Alessandro Croce, 15 Mar 2024
  • RC2: 'Comment on wes-2023-145', Daan van der Hoek, 20 Dec 2023
    • AC2: 'Reply on RC2', Alessandro Croce, 15 Mar 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-145', Anonymous Referee #1, 17 Dec 2023
    • AC1: 'Reply on RC1', Alessandro Croce, 15 Mar 2024
  • RC2: 'Comment on wes-2023-145', Daan van der Hoek, 20 Dec 2023
    • AC2: 'Reply on RC2', Alessandro Croce, 15 Mar 2024
Alessandro Croce, Stefano Cacciola, and Federico Isella
Alessandro Croce, Stefano Cacciola, and Federico Isella

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Short summary
For a few years now, various techniques have been studied to maximize the energy production of a wind farm, that is, from a system consisting of several wind turbines. These wind farm controller techniques are often analyzed individually and can generate loads higher than the design ones on the individual wind turbine. In this paper we study the simultaneous use of two different techniques with the goal of finding the optimal combination that at the same time preserves the design loads.
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