| 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 conferenceObject |
| URI: | http://amtee.zcu.cz/AMTEE/ArchivedProceedings/proceedings_AMTEE_2007/data/section_i.html http://hdl.handle.net/11025/25807 |
| 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 CPEE – AMTEE 2007 |
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