Wind Energy Science
Wind Energy Science
WES
Articles | Volume 5, issue 1
Articles | Volume 5, issue 1
https://doi.org/10.5194/wes-5-413-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-413-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5, issue 1
Research article
 | 
30 Mar 2020
Research article |  | 30 Mar 2020

Wake steering optimization under uncertainty

Julian Quick, Jennifer King, Ryan N. King, Peter E. Hamlington, and Katherine Dykes

Viewed

Total article views: 5,219 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,629 1,468 122 5,219 156 183 202
  • HTML: 3,629
  • PDF: 1,468
  • XML: 122
  • Total: 5,219
  • Supplement: 156
  • BibTeX: 183
  • EndNote: 202
Views and downloads (calculated since 14 Oct 2019)
Cumulative views and downloads (calculated since 14 Oct 2019)

Viewed (geographical distribution)

Total article views: 5,219 (including HTML, PDF, and XML) Thereof 4,647 with geography defined and 572 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Mar 2026
Download
Short summary
We investigate the trade-offs in optimization of wake steering strategies, where upstream turbines are positioned to deflect wakes away from downstream turbines, with a probabilistic perspective. We identify inputs that are sensitive to uncertainty and demonstrate a realistic optimization under uncertainty for a wind power plant control strategy. Designing explicitly around uncertainty yielded control strategies that were generally less aggressive and more robust to the uncertain input.
Read more
Share
Altmetrics
Final-revised paper
Preprint