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

Volume

2

fYear

1995

fDate

13-16 Aug 1995

Firstpage

1305

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/MWSCAS.1995.510337

Filename

510337