Title :
A case-based intelligent agent for power system restoration
Author :
Zhou, B. ; Chowdhury, N.A. ; Lade, D.S.
Author_Institution :
Dept. of Electr. Eng., Saskatchewan Univ., Saskatoon, Sask., Canada
Abstract :
A case-based knowledge system can be utilized to train power system operators in dealing with power system blackouts. An object-oriented graphic interface in conjunction with an expert system will allow a system operator to interact with the agent during a restoration process. The first phase of a case-based intelligent agent for simulating power system restoration process is presented in this paper
Keywords :
case-based reasoning; computer aided instruction; computer based training; control engineering education; expert systems; graphical user interfaces; object-oriented programming; power engineering education; power system analysis computing; power system control; power system restoration; software agents; case-based intelligent agent; case-based knowledge system; computer simulation; expert system; object-oriented graphic interface; power system blackouts; power system restoration; power system simulators; Costs; Graphical user interfaces; Graphics; Intelligent agent; Object oriented modeling; Power system dynamics; Power system reliability; Power system restoration; Power system simulation; Steady-state;
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-3143-5
DOI :
10.1109/CCECE.1996.548114
