DocumentCode
3031502
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
fYear
1990
fDate
4-7 Nov 1990
Firstpage
233
Lastpage
238
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-87942-597-0
Type
conf
DOI
10.1109/ICSMC.1990.142099
Filename
142099
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