Title :
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
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;
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
DOI :
10.1109/ELECTROMOTION.2009.5259145
