Title :
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
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;
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
DOI :
10.1109/UPEC.2007.4468952
