Wind farm inertia forecasting accounting for wake losses, turbine-level control strategies, and operational constraints

Thommessen, Andre; Anand, Abhinav; Bottasso, Carlo L.; Hackl, Christoph M.

doi:10.5194/wes-11-1399-2026

Articles | Volume 11, issue 4

https://doi.org/10.5194/wes-11-1399-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-11-1399-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 4

Research article

|

27 Apr 2026

Research article |

| 27 Apr 2026

Wind farm inertia forecasting accounting for wake losses, turbine-level control strategies, and operational constraints

Andre Thommessen, Abhinav Anand, Carlo L. Bottasso, and Christoph M. Hackl

Data sets

Wind farm inertia forecasting accounting for wake losses, control strategies, and operational constraints Andre Thommessen et al. https://doi.org/10.5281/zenodo.15176372

Short summary

We present a method to forecast inertia that accounts for wake effects in a wind farm. The approach is based on mapping forecasted site conditions to each single wind turbine in the farm through a wake model. The resulting inflow conditions are used to predict the inertia that the wind farm can provide to the grid, taking the wind turbine control strategies and operational limits into account.