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

fYear

2006

fDate

9-12 July 2006

Firstpage

200

Lastpage

205

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISEIMA.2006.344954

Filename

4150468