Real-time fault-voltage estimation for nonlinear dynamic power systems
Résumé
This paper investigates a relevant observer based on fault estimation of nonlinear systems described by a class of differential-algebraic equation models using the extended Kalman filter. The method involves the use of a transformation from a differential-algebraic equation to ordinary differential equation. Two nonlinear observers are used for fault estimation for comparison purposes: one of them is being an extended Kalman filter used as an estimator, and the other is a relevant state observer with moving horizon with a study of convergence based on the choice of the matrix of covariance of the noises of system and measurements. High performances are illustrated through a real-time application on 5-bus test system with Digital Signal Processing device (Dspace DS 1104).