Title: Neural model of synchronous generator with nonlinear magnetizing characteristic
Authors: Nocon, Adrian
Paszek, Stefan
Citation: AMTEE ’07 : seventh international conference on Advanced Methods in the Theory of Electrical Engineering : September 10-12, 2007 [Pilsen, Czech Republic].
Issue Date: 2007
Publisher: University of West Bohemia
Document type: konferenční příspěvek
URI: http://amtee.zcu.cz/AMTEE/ArchivedProceedings/proceedings_AMTEE_2007/data/section_i.html
ISBN: 978-80-7043-564-9
Keywords: synchronní generátor;neurální model
Keywords in different language: synchronous generator;neural model
Abstract in different language: The paper presents the proposal of using artificial neural networks for simulation investigations of synchronous generators working as autonomous supply sources. The comparative analysis of the neural model and that based on the synchronous generator R-L parameters is performed. A three-stage hybrid algorithm consisting of genetic, Nelder-Mead and gradient algorithms was applied to learning the artificial neural network.
Rights: © University of West Bohemia
Appears in Collections:CPEE – AMTEE 2007

Files in This Item:
File Description SizeFormat 
Nocon.pdfPlný text364,48 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/25807

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.