Minussi, Carlos R. [UNESP]Silveira, Maria do Carmo G [UNESP]2014-05-272014-05-271995-12-01Midwest Symposium on Circuits and Systems, v. 2, p. 1305-1308.http://hdl.handle.net/11449/64681This work aims to investigate the use of artificial neural networks in the analysis of the transient stability of Electric Power Systems (determination of critical clearing time for short-circuit faults type with electric power transmission line outage), using a supervised feedforward neural network. To illustrate the proposed methodology, it is presented an application considering a system having by 08 synchronous machines, 23 transmission lines, and 17 buses.1305-1308engAdaptive algorithmsBackpropagationComputational methodsComputer simulationElectric power transmissionFeedforward neural networksFunctionsIterative methodsShort circuit currentsSynchronous machineryTransientsTransmission line theoryCritical clearing timeNeuron weightQuadratic error gradientShort circuit faultsTransient stability analysisElectric power systemsTrabalho apresentado em evento10.1109/MWSCAS.1995.510337WOS:A1996BF75Z00323Acesso aberto2-s2.0-0029463113