Wind Energ. Sci., 3, 11-24, 2018
https://doi.org/10.5194/wes-3-11-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research articles
22 Jan 2018
Wind farms providing secondary frequency regulation: evaluating the performance of model-based receding horizon control
Carl R. Shapiro et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Review of "Wind farms providing secondary frequency regulation: Evaluating the performance of model-based receding horizon control" by C. R. Shapiro et al.', Anonymous Referee #1, 13 Jun 2017 Printer-friendly Version 
AC1: 'Reply to referee 1', Carl Shapiro, 10 Jul 2017 Printer-friendly Version 
 
RC2: 'Wind farms providing secondary frequency regulation: Evaluating the performance of model-based receding horizon control', Anonymous Referee #2, 25 Jun 2017 Printer-friendly Version 
AC2: 'Reply to referee 2', Carl Shapiro, 10 Jul 2017 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (13 Sep 2017) by George Kariniotakis  
AR by Carl Shapiro on behalf of the Authors (23 Oct 2017)  Author's response  Manuscript
ED: Publish as is (29 Nov 2017) by George Kariniotakis  
ED: Publish as is (29 Nov 2017) by Jakob Mann (Chief Editor)
CC BY 4.0
Publications Copernicus
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Short summary
We investigate the capability of wind farms to track a power reference signal to help ensure reliable power grid operations. The wind farm controller is based on a simple dynamic wind farm model and tested using high-fidelity simulations. We find that the dynamic nature of the wind farm model is vital for tracking the power signal, and the controlled wind farm would pass industry performance tests in most cases.
We investigate the capability of wind farms to track a power reference signal to help ensure...
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