Articles | Volume 11, issue 4
https://doi.org/10.5194/wes-11-1399-2026
https://doi.org/10.5194/wes-11-1399-2026
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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2025-72', Anonymous Referee #1, 15 Jun 2025
  • RC2: 'Comment on wes-2025-72', Anonymous Referee #2, 21 Jun 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Carlo L. Bottasso on behalf of the Authors (09 Sep 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (25 Sep 2025) by Katherine Dykes
RR by Anonymous Referee #2 (27 Nov 2025)
ED: Publish subject to minor revisions (review by editor) (08 Jan 2026) by Katherine Dykes
AR by Carlo L. Bottasso on behalf of the Authors (01 Feb 2026)  Author's response   Author's tracked changes 
EF by Polina Shvedko (03 Feb 2026)  Manuscript 
ED: Publish as is (07 Mar 2026) by Katherine Dykes
ED: Publish as is (13 Mar 2026) by Nicolaos A. Cutululis (Chief editor)
AR by Carlo L. Bottasso on behalf of the Authors (16 Mar 2026)  Manuscript 
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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.
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