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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Cited articles

Allen, M. S. and Ginsberg, J. H.: Floquet modal analysis to detect cracks in a rotating shaft on anisotropic supports, Proceedings of 24th IMAC Conference, 30 January–2 February 2006, St. Louis, Missouri, 2006.
Allen, M. S., Chauhan, S., and Hansen, M. H.: Advanced operational modal analysis methods for linear time periodic system identification, Proceedings of 29th IMAC Conference, 31 January–3 February 2011, Jacksonville, Florida,, 2011a.
Allen, M. S., Sracic, M. W., Chauhan, S., and Hansen, M. H.: Output-only modal analysis of linear time periodic systems with application to wind turbine simulation data, Mech. Syst. Signal Pr., 25, 1174–1191,, 2011b.
Avendaño-Valencia, L. D. and Fassois, S. D.: In-operation identification of wind turbine non-stationary dynamics: a comparison of various methods, Proceedings of 5th IOMAC Conference, 13–15 May 2013, Guimarães, Portugal, 2013.
Avendaño-Valencia, L. D. and Fassois, S. D.: Stationary and non-stationary random vibration modelling and analysis for an operating wind turbine, Mech. Syst. Signal Pr., 47, 263–285,, 2014.
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.
Final-revised paper