Synchronous Generator Nonlinear Model Identification using Wiener-Neural Model

摘要

Application of Wiener-Neural model for identification of a synchronous generator is investigated in this paper. The proposed method is first applied on a simulated synchronous generator with saturation effect and then it is tested on a micro-machine system. 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. Simulation and experimental results show good accuracy of the identified models.