Title :
Use of artificial neural networks in a dispatcher training simulator for power system dynamic security assessment
Author :
Aggoune, Mohamed E. ; Vadari, Subramanian V.
Author_Institution :
Dept. of Electr. Eng., Florida Int. Univ., Miami, FL, USA
Abstract :
Preliminary results on using artificial neural networks (ANNs) as a dispatcher´s aid for power system dynamic security assessment are presented. Dynamic security assessment is explained, and a brief introduction to ANNs is given. The ANN-based dispatcher training simulator is then described, and results for a 39-bus test system are given. It is found that the ANN is able to properly estimate the postfault state and accurately predict the security status of the power system. In general, the ANN results are in close agreement with those obtained by simulation
Keywords :
computer aided instruction; load dispatching; neural nets; power system analysis computing; simulation; training; dispatcher training simulator; load dispatching; neural networks; post fault state estimation; power engineering computing; power system dynamic security assessment; security status prediction; Artificial neural networks; Frequency; Intelligent networks; Power generation; Power system analysis computing; Power system dynamics; Power system security; Power system simulation; Power system transients; Power transmission lines;
Conference_Titel :
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-87942-597-0
DOI :
10.1109/ICSMC.1990.142099