Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 6
Articles | Volume 11, issue 6
https://doi.org/10.5194/wes-11-1989-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-1989-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 6
Research article
 | 
05 Jun 2026
Research article |  | 05 Jun 2026

Adaptive economic wind turbine control

Abhinav Anand and Carlo L. Bottasso

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Short summary
We formulate a controller for wind turbines that has three main characteristics. First, it optimizes profit by balancing revenue from power generation with cost. Second, cost includes the effects of cyclic fatigue that, departing from most of the existing literature on control, is rigorously accounted for by an exact cycle counting on receding horizons. Third, it uses a model capable of learning and improving its performance based on measured or synthetic data.
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