Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration

Mon, 10/21/2019 - 17:13 — mmartinez

Title	Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration
Publication Type	Journal Papers
Year of Publication	2019
Authors	Wang, T., Wei X., Huang T., Wang J., Peng H., Pérez-Jiménez M. J., & Valencia-Cabrera L.
Journal Title	IEEE Access
Volume	7
Pages	12798-12808
Keywords	Biocomputing, Computational modeling, Ev-SNP system, event SNP systems, ex-ante fault propagation path prediction, Fault diagnosis, fault propagation path, fault propagation relationship, inference mechanisms, large-scale power systems, large-scale systems, Membrane computing, modeling fault propagation paths, neural nets, neural P systems, Neurons, neurotransmitter concentration, Neurotransmitters, power engineering computing, power system, power system security, Power system stability, Probability, reduced order systems, reduction-SNP system, RSNP system, Spiking neural P system, synapses
DOI	10.1109/ACCESS.2019.2892797

Research Group on Natural Computing