Influence of model parameters on the diagnosis of the wind turbine generator

Author

Bennouna, O. ; Heraud, N. ; Chafouk, H. ; Notton, G.

Author_Institution

Technopole du Madrillet, IRSEEM (Inst. de Rech. en Syst. Electroniques EMbarques), St. Etienne du Rouvray, France

fYear

2009

fDate

1-3 July 2009

Firstpage

1

Lastpage

5

Abstract

Today, technology allows energy production in large quantities using renewable energies (sun, wind, water ...). Our previous work introduced a method able to detect, localize and identify sensor failures of the doubly-fed induction generator of a wind turbine. This paper concerns the influence of model parameters on the diagnosis procedure. It shows that parameter identification is required to validate the system model.

Keywords

asynchronous generators; fault diagnosis; machine testing; power generation faults; power system parameter estimation; wind power plants; wind turbines; doubly-fed induction generator; energy production; fault diagnosis; model parameter; parameter identification; renewable energies; sensor failure detection; sensor failure localisation; wind turbine generator; Chemical industry; Construction industry; Electrical fault detection; Fault detection; Fault diagnosis; Induction generators; Mathematical model; Robustness; Wind energy generation; Wind turbines;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Electromechanical Motion Systems & Electric Drives Joint Symposium, 2009. ELECTROMOTION 2009. 8th International Symposium on

Conference_Location

Lille

Print_ISBN

978-1-4244-5150-0

Electronic_ISBN

978-1-4244-5152-4

Type

conf

DOI

10.1109/ELECTROMOTION.2009.5259145

Filename

5259145