Title :
Structure of an improved intelligent control for a power system in a deregulated environment
Author :
Liu, S. ; Schlueter, RA
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
An intelligent control is proposed that uses the learning adaptation, and intelligence of a new voltage stability security assessment and an autonomous decision making diagnosis of the cause, cure, and remedy for voltage collapse. The intelligence and autonomous decision making permits a new hierarchical control structure for a deregulated utility industry
Keywords :
hierarchical systems; intelligent control; learning (artificial intelligence); power system control; power system security; power system stability; voltage control; autonomous decision making diagnosis; deregulated environment; hierarchical control; intelligent control; learning adaptation; power system; voltage collapse; voltage stability security assessment; Control systems; Decision making; Intelligent control; Intelligent structures; Power generation; Power system control; Power system planning; Power system stability; Power systems; Reluctance generators;
Conference_Titel :
Control Applications, 1996., Proceedings of the 1996 IEEE International Conference on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2975-9
DOI :
10.1109/CCA.1996.558866
