An LSTM network using 60 seconds of historic measurements predicts voltage instability with 100% accuracy on N-1 cases and 93-98% on N-1-1 cases in the Nordic32 simulated system.
Implementation of a massively parallel dynamic security assessment platform for large-scale grids,
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Voltage Instability Prediction Using a Deep Recurrent Neural Network
An LSTM network using 60 seconds of historic measurements predicts voltage instability with 100% accuracy on N-1 cases and 93-98% on N-1-1 cases in the Nordic32 simulated system.