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
fDate :
5/1/1994 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on
