DocumentCode
3352558
Title
Assessment of the small signal stability of the European interconnected electric power system using neural networks
Author
Teeuwsen, S.P. ; Erlich, I. ; Fischer, A. ; El-Sharkawi, M.A.
Author_Institution
Duisburg Univ., Germany
fYear
2001
fDate
2001
Firstpage
158
Lastpage
161
Abstract
This paper deals with a new method based on neural networks for eigenvalue predictions of critical stability modes of power systems. Our special interest is focused on interarea oscillations in the European interconnected power system. The existing methods for eigenvalue computations are time-consuming and require the entire system model that includes an extensive number of states
Keywords
eigenvalues and eigenfunctions; neural nets; oscillations; power system analysis computing; power system interconnection; power system stability; European interconnected electric power system; European interconnected power system; critical stability modes; eigenvalue computations; eigenvalue predictions; interarea oscillations; neural networks; small signal stability; Computer networks; Damping; Eigenvalues and eigenfunctions; Europe; Load flow; Neural networks; Power generation; Power system interconnection; Power system modeling; Power system stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering, 2001. LESCOPE '01. 2001 Large Engineering Systems Conference on
Conference_Location
Halifax, NS
Print_ISBN
0-7803-7107-0
Type
conf
DOI
10.1109/LESCPE.2001.941643
Filename
941643
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