Wind farms providing secondary frequency  regulation: evaluating the performance of  model-based receding horizon control

Shapiro, Carl R.; Meyers, Johan; Meneveau, Charles; Gayme, Dennice F.

doi:https://doi.org/10.5194/wes-3-11-2018

Articles | Volume 3, issue 1

https://doi.org/10.5194/wes-3-11-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

The Science of Making Torque from Wind (TORQUE) 2016

https://doi.org/10.5194/wes-3-11-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 3, issue 1

Research article

|

22 Jan 2018

Research article |

| 22 Jan 2018

Wind farms providing secondary frequency regulation: evaluating the performance of model-based receding horizon control

Carl R. Shapiro, Johan Meyers, Charles Meneveau, and Dennice F. Gayme

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Final revised paper (published on 22 Jan 2018)
Preprint (discussion started on 12 May 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

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
- AC1: 'Reply to referee 1', Carl Shapiro, 10 Jul 2017
RC2: 'Wind farms providing secondary frequency regulation: Evaluating the performance of model-based receding horizon control', Anonymous Referee #2, 25 Jun 2017
- AC2: 'Reply to referee 2', Carl Shapiro, 10 Jul 2017

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)

AR by Carl Shapiro on behalf of the Authors (07 Dec 2017) Manuscript

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.