DocumentCode
1167031
Title
Effectiveness of artificial neural networks for first swing stability determination of practical systems
Author
Hobson, E. ; Allen, G.N.
Author_Institution
Univ. South Australia, The Levels, SA, Australia
Volume
9
Issue
2
fYear
1994
fDate
5/1/1994 12:00:00 AM
Firstpage
1062
Lastpage
1068
Abstract
The paper presents an evaluation of the effectiveness of artificial neural networks for rapid determination of critical clearing times for practical networks with varying line outages and load patterns. Studies are reported on the performance of artificial neural networks which have been trained using previously proposed and new training items. It is concluded that artificial neural networks have difficulty in returning consistently accurate answers under varying network conditions
Keywords
electrical faults; learning (artificial intelligence); load (electric); neural nets; power system computer control; power system stability; artificial neural networks; critical clearing times; first swing stability determination; line outages; load patterns; performance; power system control; training; Artificial neural networks; Boilers; Power engineering and energy; Power system dynamics; Power system harmonics; Power system modeling; Power system protection; Power system security; Power system stability; Systems engineering and theory;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.317625
Filename
317625
Link To Document