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