14 Mar 2022
14 Mar 2022
Status: this preprint is currently under review for the journal WES.

A theoretical framework for the study of power capture enhancement for wind turbines operating at low wind speeds

Irene Miquelez-Madariaga1, Asier Díaz de Corcuera2, and Jorge Elso1 Irene Miquelez-Madariaga et al.
  • 1Public University of Navarre (UPNA), Pamplona, Spain
  • 2Siemens Gamesa Renewable Energy, Sarriguren, Spain

Abstract. At below rated operation, wind turbines must track changes in the wind speed to ensure optimal power production. Traditionally, a nonlinear feedback of the generator speed is used for that purpose. In this paper, a linear frequency domain approach to the problem is proposed, that studies the efficiency of the baseline control and the possible benefits of additional strategies. Then, a frequency domain nonlinear relation between wind and energy, that validates the results obtained for the linear model. Lastly, the benefits and costs of an optimal LIDAR based torque signal are discussed

Irene Miquelez-Madariaga et al.

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-2022-18', Anonymous Referee #1, 25 Mar 2022
  • RC2: 'Comment on wes-2022-18', Anonymous Referee #2, 10 Apr 2022
  • RC3: 'Comment on wes-2022-18', Anonymous Referee #3, 22 Apr 2022

Irene Miquelez-Madariaga et al.

Irene Miquelez-Madariaga et al.


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Short summary
This work proposes an analysis framework of the control strategy for wind turbines operating at low wind speeds, based on linearized models. Traditionally, this strategy consists on obtaining a generator torque input by a nonlinear feedback of the generator speed. Besides checking for optimality, the linear framework allows to design a feedfoward controllers based on the wind measurements provided by LIDAR sensors. The validity of the linear approximation is tested against a nonlinear simulator.