Real-time stability assessment in smart cyber-physical grids: a deep learning approach - Darbandi, Farzad; Jafari, Amirreza; Karimipour, Hadis; Dehghantanha, Ali; Derakhshan, Farnaz; Raymond Choo, Kim-Kwang (IET Smart Grid, 2020)
Keywords: Accuracy; Algorithms; Artificial neural networks; B0290F Interpolation and function approximation (numerical analysis); B8110C Power system control; Back propagation networks; backpropagation; C4130 Interpolation and function approximation (numerical analysis); C5290 Neural computing techniques; C7410B Power engineering computing; Case studies; conjugate gradient backpropagation algorithm; conjugate gradient methods; Control stability; Control systems; CPS; cyber-attacks; cyber-physical system; cyber-physical systems; Deep learning; deep learning approach; effective TSA; Feature selection; feedforward neural nets; feedforward neural network; Fletcher–Reeves updates; IEEE 39‐bus test system; information and communication technologies; Kohonen learning algorithm; Machine learning; Methods; minimum redundancy maximum relevancy algorithm; Monitoring; Neural networks; Pattern recognition; Performance evaluation; physical communication layers; power engineering computing; power system security; power system transient stability; real-time stability assessment; real-time stability condition predictor; Redundancy; self-organising feature maps; smart cyber-physical grids; Smart grid; smart power grids; Special Issue: Machine Learning in Power Systems; system monitoring; system operators; Transient stability; transient stability assessment; Wavelet transforms; conjugate gradient methods; cyber-attacks; real-time stability assessment; CPS; power system transient stability; smart power grids; effective TSA; Fletcher–Reeves updates; Kohonen learning algorithm; self-organising feature maps; IEEE 39-bus test system; real-time stability condition predictor; smart cyber-physical grids; minimum redundancy maximum relevancy algorithm; physical communication layers; system operators; cyber-physical system; power engineering computing; power system security; transient stability assessment; cyber-physical systems; conjugate gradient backpropagation algorithm; feedforward neural network; backpropagation; deep learning approach; system monitoring; information and communication technologies; feedforward neural nets