Title :
Artificial intelligence assisted voltage stability enhancement
Author :
Madan, S. ; Bollinger, K.E.
Author_Institution :
Dept. of Electr. Eng., Alberta Univ., Edmonton, Alta., Canada
Abstract :
Power system voltage stability issues have been recognized as a major cause of concern by power utilities. Efforts have been made to correctly predict voltage instability and take corrective measures to prevent voltage collapse. This paper reviews how artificial intelligence (AI) techniques mainly in the form of expert systems have been applied to enhance voltage stability. The paper also proposes the use of some unused techniques in the AI suite that may be fruitfully deployed to assist in power system voltage stability problems
Keywords :
artificial intelligence; control system analysis computing; electricity supply industry; expert systems; power system analysis computing; power system control; power system security; power system stability; voltage control; artificial intelligence; corrective measures; expert systems; power system voltage stability; power utilities; voltage collapse; voltage instability; Artificial intelligence; Control systems; Electronic switching systems; Expert systems; Power system interconnection; Power system reliability; Power system stability; Reactive power; Transformers; Voltage;
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-3143-5
DOI :
10.1109/CCECE.1996.548119
