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

fYear

2009

fDate

6-9 May 2009

Firstpage

416

Lastpage

421

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ECTICON.2009.5137038

Filename

5137038