Synchronous generator nonlinear model identification using wiener-neural model

Author

Ghomi, M. ; Sarem, Y. Najafi ; Kermajani, H.R. ; Poshtan, J.

Author_Institution

Islamic Azad Univ. of Toyserkan, Toyserkan

fYear

2007

fDate

4-6 Sept. 2007

Firstpage

236

Lastpage

241

Abstract

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.

Keywords

electric machine analysis computing; machine testing; neural nets; nonlinear systems; synchronous generators; Wiener-neural model; micro machine system testing; nonlinear model identification; saturation effect; simulated synchronous generator; Circuit testing; Parameter estimation; Power system dynamics; Power system interconnection; Power system modeling; Power system simulation; Power system stability; Synchronous generators; Synchronous machines; Voltage; Black box modelling; Model Identification; Synchronous generator; Wiener-Neural Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International

Conference_Location

Brighton

Print_ISBN

978-1-905593-36-1

Electronic_ISBN

978-1-905593-34-7

Type

conf

DOI

10.1109/UPEC.2007.4468952

Filename

4468952