Title :
Gross Error Detection of the Generator of a Wind Turbine
Author :
Bennouna, Ouadie ; Heraud, Nicolas ; Cristofari, Christian ; Muselli, Marc ; Notton, Gilles ; Poggi, Philippe
Author_Institution :
SPE Lab., Univ. of Corsica, Corte
Abstract :
Data reconciliation and gross error detection are techniques used for improving the accuracy of data so that they satisfy the plant model. This paper present a method to identify and estimate gross errors for linear dynamic systems. An appliation is made in the domain of renewable energies, in particular the doubly fed induction generator (D.F.I.G) of a wind turbine. A dynamic integral measurement test is used to identify measurements as suspects of gross error. The method presented in a previous paper [1] is extended to allow gross error estimation.
Keywords :
asynchronous generators; error analysis; wind turbines; data reconciliation; doubly fed induction generator; dynamic integral measurement test; error estimation; generator; gross error detection; linear dynamic systems; plant model; renewable energies; wind turbine; Error analysis; Estimation error; Induction generators; Integral equations; Laboratories; Polynomials; Renewable energy resources; Testing; Time measurement; Wind turbines;
Conference_Titel :
Environment Identities and Mediterranean Area, 2006. ISEIMA '06. First international Symposium on
Conference_Location :
Corte-Ajaccio
Print_ISBN :
1-4244-0231-X
Electronic_ISBN :
1-4244-0232-8
DOI :
10.1109/ISEIMA.2006.344954
