Title :
Knowledge engineering tool for training power-substation operators
Author :
Lambert-Torres, G. ; Ribeiro, G.M. ; Costa, C.I.A. ; Silva, A. P Alves da ; Quintana, V.H.
Author_Institution :
Escola Federal de Engenharia de Itajuba, Brazil
fDate :
4/1/1997 12:00:00 AM
Abstract :
Artificial intelligence techniques have been applied to create systems that can give answers for different situations and assistance during the substation switching operation. These techniques have also been used for training purposes. This paper presents a computational package for training power substation operators in the control and corrective actions using expert system techniques. Illustrative examples are presented using a 138 kV CEMIG substation
Keywords :
computer aided instruction; computer based training; control engineering education; expert systems; power engineering education; power system control; switching substations; 138 kV; CAI; artificial intelligence techniques; computational package; expert system techniques; knowledge engineering tool; power substation operator training; substation switching; Engines; Expert systems; Knowledge engineering; Mice; Microcomputers; Natural languages; Processor scheduling; Spatial databases; Substations; Testing;
Journal_Title :
Power Delivery, IEEE Transactions on
