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
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;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112625
