Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 2
Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-741-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-741-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 2
Research article
 | 
31 Mar 2022
Research article |  | 31 Mar 2022

Fast yaw optimization for wind plant wake steering using Boolean yaw angles

Andrew P. J. Stanley, Christopher Bay, Rafael Mudafort, and Paul Fleming

Viewed

Total article views: 1,819 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,190 573 56 1,819 40 38
  • HTML: 1,190
  • PDF: 573
  • XML: 56
  • Total: 1,819
  • BibTeX: 40
  • EndNote: 38
Views and downloads (calculated since 22 Oct 2021)
Cumulative views and downloads (calculated since 22 Oct 2021)

Viewed (geographical distribution)

Total article views: 1,819 (including HTML, PDF, and XML) Thereof 1,735 with geography defined and 84 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Apr 2024
Download
Short summary
In wind plants, turbines can be yawed to steer their wakes away from downstream turbines and achieve an increase in plant power. The yaw angles become expensive to solve for in large farms. This paper presents a new method to solve for the optimal turbine yaw angles in a wind plant. The yaw angles are defined as Boolean variables – each turbine is either yawed or nonyawed. With this formulation, most of the gains from wake steering can be reached with a large reduction in computational expense.
Read more
Altmetrics
Final-revised paper
Preprint