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A Deep Neural Network as a Strategy for Optimal Sizing and Location of Reactive Compensation Considering Power Consumption Uncertainties
ArticleAbstract: This research proposes a methodology for the optimal location and sizing of reactive compensation inPalabras claves:deep learning, Electrical Power System, Multi-layer neural network, Optimal location, Optimal sizing, reactive compensationAutores:Diego Francisco Carrión Galarza, Jorge Paúl Muñoz Pilco, Manuel Dario Jaramillo MongeFuentes:googlescopusA Novel Methodology for Strengthening Stability in Electrical Power Systems by Considering Fast Voltage Stability Index under N − 1 Scenarios
ArticleAbstract: An electrical power system (EPS) is subject to unexpected events that might cause the outage of elemPalabras claves:Electrical Power System, N − 1 contingency, Optimal location, Optimal sizing, reactive compensation, Static VAR CompensatorAutores:Carrión D.F., Jorge Paúl Muñoz Pilco, Manuel Dario Jaramillo MongeFuentes:scopus