Periodic stability analysis of wind turbines operating in turbulent wind conditions

Riva, Riccardo; Cacciola, Stefano; Bottasso, Carlo Luigi

doi:https://doi.org/10.5194/wes-1-177-2016

Articles | Volume 1, issue 2

https://doi.org/10.5194/wes-1-177-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/wes-1-177-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 1, issue 2

Research article

|

20 Oct 2016

Research article |

| 20 Oct 2016

Periodic stability analysis of wind turbines operating in turbulent wind conditions

Riccardo Riva, Stefano Cacciola, and Carlo Luigi Bottasso

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Final revised paper (published on 20 Oct 2016)
Preprint (discussion started on 21 Jan 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comments', Anonymous Referee #1, 21 Feb 2016
- AC1: 'Reply to reviewer 1', Carlo L. Bottasso, 23 Jun 2016
RC2: 'Review of Periodic stability analysis of wind turbines operating in turbulent wind conditions', Anonymous Referee #2, 02 May 2016
- AC2: 'Reply to reviewer 2', Carlo L. Bottasso, 23 Jun 2016
AC3: 'Revised paper', Carlo L. Bottasso, 23 Jun 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by editor) (26 Jul 2016) by Michael Muskulus

AR by Carlo L. Bottasso on behalf of the Authors (28 Jul 2016) Author's response Manuscript

ED: Publish as is (02 Aug 2016) by Michael Muskulus

ED: Publish as is (09 Sep 2016) by Joachim Peinke (Chief editor)

AR by Carlo L. Bottasso on behalf of the Authors (22 Sep 2016)

Short summary

This paper presents a method to assess the stability of a wind turbine. The proposed approach uses the recorded time history of the system response and fits to it a periodic reduced-order model that can handle stochastic disturbances. Stability is computed by using Floquet theory on the reduced-order model. Since the method only uses response data, it is applicable to any simulation model as well as to experimental test data. The method is compared to the well-known operational modal analysis.