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Journal articles
Bank of Extended Kalman Filters for Faults Diagnosis in Wind Turbine Doubly Fed Induction Generator
Abstract : In order to increase the efficiency, to ensure availability and to prevent unexpected failures of the
doubly fed induction generator (DFIG), widely used in speed variable wind turbine (SVWT), a model based
approach is proposed for diagnosing stator and rotor winding and current sensors faults in the generator.
In this study, the Extended Kalman Filter (EKF) is used as state and parameter estimation method for this
model based diagnosis approach. The generator windings faults and current instruments defects are
modelled, detected and isolated with the use of the faults indicators called residuals, which are obtained
based on the EKF observer. The mathematical model of DFIG for both healthy and faulty operating
conditions is implemented in Matlab/Simulink software. The obtained simulation results demonstrate the
effectiveness of the proposed technique for diagnosis and quantification of the faults under study
https://hal-normandie-univ.archives-ouvertes.fr/hal-02418847
Contributor : Houcine Chafouk <>
Submitted on : Thursday, December 19, 2019 - 10:47:46 AM
Last modification on : Monday, September 14, 2020 - 2:41:54 PM
Contributor : Houcine Chafouk <>
Submitted on : Thursday, December 19, 2019 - 10:47:46 AM
Last modification on : Monday, September 14, 2020 - 2:41:54 PM
