Title :
Nonlinear model identification for synchronous machine
Author :
Amralahi, Mohamad Hosein ; Azimi, S. Mohamad ; Sarem, Yazdan Najafi ; Poshtan, Javad
Author_Institution :
Electr. Eng. Dept., Urmia Univ. of Technol. (UUT), Urmia, Iran
Abstract :
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.
Keywords :
identification; neural nets; nonlinear systems; stochastic processes; synchronous generators; Wiener-Neural model; nonlinear model identification; saturation effect; synchronous generator; Circuit testing; Nonlinear systems; Parameter estimation; Power system dynamics; Power system interconnection; Power system modeling; Power system stability; Synchronous generators; Synchronous machines; Voltage;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
Conference_Location :
Pattaya, Chonburi
Print_ISBN :
978-1-4244-3387-2
Electronic_ISBN :
978-1-4244-3388-9
DOI :
10.1109/ECTICON.2009.5137038
