Otro
Electric power systems transient stability analysis by neural networks
Registro en:
Midwest Symposium on Circuits and Systems, v. 2, p. 1305-1308.
10.1109/MWSCAS.1995.510337
WOS:A1996BF75Z00323
2-s2.0-0029463113
Autor
Minussi, Carlos R.
Silveira, Maria do Carmo G
Resumen
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. Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)