An Online Power System Stability Monitoring System Using Convolutional Neural Networks
An Online Power System Stability Monitoring System Using Convolutional Neural Networks is a scholarly work, published in 2019 in ''IEEE Transactions on Power Systems''. The main subjects of the publication include phasor, control engineering, distributed generation, utility frequency, power, generator, electronic circuit topology, artificial neural network, electric power system, real-time computing, phasor measurement unit, unit of measurement, microgrid, network topology, computer science, engineering, political representation, fault, algorithmic stability, and control theory. The paper proposes a convolutional neural network, whose input is the heatmap representation of the measurements, for instability prediction.