DocumentCode
2664134
Title
Potential of artificial neural networks in power system operation
Author
Damborg, M.J. ; El-Sharkawi, M.A. ; Aggoune, M.E. ; Marks, R.J., II
Author_Institution
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fYear
1990
fDate
1-3 May 1990
Firstpage
2933
Abstract
The potential applicability of artificial neural networks (ANNs) to electric power systems, with an emphasis on aiding dispatchers with decision-making (particularly with decisions relating to power system security), is discussed. Examples illustrate how ANNs can alert dispatchers to security threats due to possible constraint violations, unstable dynamics, and uncertain loads. The problems that must be overcome before an ANN dispatcher´s aid is realizable are reviewed
Keywords
load dispatching; neural nets; power engineering computing; power system protection; artificial neural networks; constraint violations; decision-making; dispatchers; electric power systems; power system operation; power system security; security threats; uncertain loads; unstable dynamics; Artificial neural networks; Decision making; Intelligent networks; Power generation; Power generation economics; Power system dynamics; Power system economics; Power system security; Power systems; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/ISCAS.1990.112625
Filename
112625
Link To Document