Title :
Electric power systems transient stability analysis by neural networks
Author :
Minussi, Carlos R. ; Silveira, Maria Do Carmo G
Author_Institution :
Dept. of Electr. Eng., UNESP, Ilha Solteira, Brazil
Abstract :
This 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
Keywords :
feedforward neural nets; power system analysis computing; power system stability; power system transients; short-circuit currents; bus; critical clearing time; electric power system; short-circuit fault; supervised feedforward neural network; synchronous machine; transient stability analysis; transmission line outage; Artificial neural networks; Computational efficiency; Differential equations; Neural networks; Neurons; Power system dynamics; Power system modeling; Power system transients; Stability analysis; Transient analysis;
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
DOI :
10.1109/MWSCAS.1995.510337
