Knowledge engineering tool for training power-substation operators

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 s...

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Bibliographic Details
Published inIEEE transactions on power delivery Vol. 12; no. 2; pp. 694 - 699
Main Authors Lambert-Torres, G., Ribeiro, G.M., Costa, C.I.A., Alves da Silva, A.P., Quintana, V.H.
Format Journal Article Conference Proceeding
LanguageEnglish
Published New York, NY IEEE 01.04.1997
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Electrical engineering. Electrical power engineering
Electrical power engineering
Engines
Exact sciences and technology
Expert systems
Knowledge engineering
Mice
Microcomputers
Natural languages
Power networks and lines
Processor scheduling
Spatial databases
Substations
Testing
Operator
Substation
Control center
Decision making
Expert system
Switching function
Knowledge base
Software
Artificial intelligence
Occupational training
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0885-8977
1937-4208
DOI:10.1109/61.584348