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

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Cumulative views and downloads (calculated since 05 May 2025)

Month	HTML	PDF	XML	Total
May 2025	74	20	5	99
Jun 2025	61	17	7	85
Jul 2025	52	13	18	83
Aug 2025	87	3	0	90
Sep 2025	321	34	4	359
Oct 2025	35	16	3	54
Nov 2025	34	15	3	52
Dec 2025	38	15	3	56
Jan 2026	60	34	2	96
Feb 2026	44	24	4	72
Mar 2026	42	31	2	75
Apr 2026	145	64	12	221
May 2026	486	108	11	605
Jun 2026	45	14	1	60
Jul 2026	188	36	4	228
Aug 2026	142	28	4	174
Sep 2026	471	79	23	573
Oct 2026	269	43	8	320

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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.