Nonlinear model identification for synchronous machine

Application of Wiener-Neural model for identification of a synchronous generator is investigated in this paper. The proposed method is applied on a simulated synchronous generator with saturation effect. In this study, the field voltage is considered as the input and the active output power and the terminal voltage are considered as the outputs of the synchronous generator. Validation results for the identified NN-based Wiener model show good accuracy of the identified models.