Articles | Volume 5, issue 3
Wind Energ. Sci., 5, 885–896, 2020
https://doi.org/10.5194/wes-5-885-2020

Special issue: Wind Energy Science Conference 2019

Wind Energ. Sci., 5, 885–896, 2020
https://doi.org/10.5194/wes-5-885-2020
Research article
13 Jul 2020
Research article | 13 Jul 2020

Real-time optimization of wind farms using modifier adaptation and machine learning

Leif Erik Andersson and Lars Imsland

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Short summary
The article describes a hybrid modeling approach to optimize the energy capture of wind farms. Hybrid modeling combines mechanistic and data-driven models. The data-driven part is used to correct inaccuracies of the mechanistic model. The hybrid approach allows for adjustment of the mechanistic model beyond simple parameter estimation. It is, therefore, an attractive approach in wind farm control. The approach is illustrated in several numerical case studies.