In this paper, the problem of icing detection is considered for wind turbines (WTs) operating in medium speed wind region (region 2) and subject to a control law tracking the maximum delivery point of the power coefficient characteristic. Based on a robust observer of the rotor angular acceleration, rotor inertia is estimated in order to detect its eventual increase due to icing. Moreover, the observed value of rotor inertia can be potentially used for updating the controller parameters or to stop the turbine when icing is too severe. The proposed approach has been tested by intensive MatLab® simulations using the National Renewable Energy Laboratory 5 MW WT model. Copyright © 2018 by ASME.
Autori: | |
Autori: | Corradini, Maria Letizia; Ippoliti, Gianluca; Orlando, Giuseppe |
Titolo: | A Sliding Mode Observer-Based Icing Detection and Estimation Scheme for Wind Turbines |
Presenza coautori internazionali: | no |
Numero degli autori: | 3 |
Data di pubblicazione: | 2018 |
Rivista: | JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT AND CONTROL |
IF: | si |
Codice identificativo ISI: | WOS:000415381200016 |
Codice identificativo Scopus: | 2-s2.0-85029153889 |
Revisione (peer review): | Esperti anonimi |
Lingua: | Inglese |
Rilevanza: | Internazionale |
Volume: | 140 |
Fascicolo: | 1 |
Pagina iniziale: | 014502 |
Numero di pagine: | 5 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1115/1.4037387 |
Abstract: | In this paper, the problem of icing detection is considered for wind turbines (WTs) operating in medium speed wind region (region 2) and subject to a control law tracking the maximum delivery point of the power coefficient characteristic. Based on a robust observer of the rotor angular acceleration, rotor inertia is estimated in order to detect its eventual increase due to icing. Moreover, the observed value of rotor inertia can be potentially used for updating the controller parameters or to stop the turbine when icing is too severe. The proposed approach has been tested by intensive MatLab® simulations using the National Renewable Energy Laboratory 5 MW WT model. Copyright © 2018 by ASME. |
Parole Chiave: | Icing detection, Observed values, Power coefficients, Robust observers, Sliding mode observers |
URL: | http://dynamicsystems.asmedigitalcollection.asme.org/article.aspx?articleid=2646867 |
Data di presentazione: | 2020-05-29T10:11:33Z |
Appare nelle tipologie: | 1.1 Articolo in rivista |