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Assessment of the Small Signal Stability of the European Interconnected Electric Power System Using Neural Networks

By S. P. Teeuwsen, I. Erlich and A. Fischer


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 inter-area 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

Topics: Inter-Area Oscillations, Neural Networks, Small Signal Stability
Year: 2009
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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