Preprints
https://doi.org/10.5194/wes-2023-172
https://doi.org/10.5194/wes-2023-172
04 Jan 2024
 | 04 Jan 2024
Status: this preprint is currently under review for the journal WES.

On the importance of wind predictions in wake steering optimization

Elie Kadoche, Pascal Bianchi, Florence Carton, Philippe Ciblat, and Damien Ernst

Abstract. Wake steering is a technique that optimises the energy production of a wind farm by employing yaw control to misalign upstream turbines with the incoming wind direction. This work highlights the important dependence between wind direction variations and wake steering optimization. The problem is formalized over time as the succession of independent and steady-state yaw control problems. Then, this work proposes a reformulation of each steady-state problem by augmenting the objective function by a new heuristic based on a wind prediction. The heuristic acts as a penalization for the optimization, encouraging solutions that will guarantee future energy production. Finally, a synthetic sensibility analysis of the wind direction variations and wake steering optimization is conducted. Because of the rotational constraints of the turbines, as the magnitude of the wind direction fluctuations increases, the importance of considering wind prediction in a steady-state optimization is empirically demonstrated. The heuristic proposed in this work greatly improves the performance of controllers and compared to a model predictive control (MPC) approach, it does not increase complexity.

Elie Kadoche, Pascal Bianchi, Florence Carton, Philippe Ciblat, and Damien Ernst

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-2023-172', Anonymous Referee #1, 19 Jan 2024
  • RC2: 'Comment on wes-2023-172', Anonymous Referee #2, 06 Feb 2024
Elie Kadoche, Pascal Bianchi, Florence Carton, Philippe Ciblat, and Damien Ernst
Elie Kadoche, Pascal Bianchi, Florence Carton, Philippe Ciblat, and Damien Ernst

Viewed

Total article views: 289 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
243 39 7 289 3 4
  • HTML: 243
  • PDF: 39
  • XML: 7
  • Total: 289
  • BibTeX: 3
  • EndNote: 4
Views and downloads (calculated since 04 Jan 2024)
Cumulative views and downloads (calculated since 04 Jan 2024)

Viewed (geographical distribution)

Total article views: 259 (including HTML, PDF, and XML) Thereof 259 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Feb 2024
Download
Short summary
This work proposes a new controller based on wind predictions and conducts a synthetic sensibility analysis of wake steering and wind dynamics, using steady-state models and artificial wind data. For wind turbines that can rotate form -15 to 15 degrees every 10 minutes, if the wind direction changes by more than 7.34 degrees every 10 minutes, it is important to consider future wind data in a steady-state yaw control optimization.
Altmetrics