Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-741-2022
https://doi.org/10.5194/wes-7-741-2022
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

Model code and software

stanley2021-yaw-optimization A. P. J. Stanley https://doi.org/10.5281/zenodo.6395099

Floris National Renewable Energy Laboratory https://github.com/NREL/floris/releases/tag/v2.4

Pyoptsparse N. Wu, G. Kenwa, C. A. Mader, J. Jasa, and J. R. R. A. Martins https://github.com/mdolab/pyoptsparse

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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.
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