DocumentCode :
1702301
Title :
Knowledge and model based decision support for power system protection engineers
Author :
McArthur, S.D.J. ; Bell, S.C. ; McDonald, J.R. ; Mather, R. ; Burt, S.M.
Author_Institution :
Centre for Electr. Power Eng., Strathclyde Univ., Glasgow, UK
fYear :
1996
Firstpage :
215
Lastpage :
219
Abstract :
This paper discusses a decision support system for utility protection engineers, offering them the advantages of intelligent alarm processing, fault diagnosis and validation of protection operation. Knowledge based systems perform the alarm processing and fault diagnosis functions, whereas model based diagnosis is employed for the validation of protection operation. The integration of both paradigms is demonstrated through a case study
Keywords :
decision support systems; fault location; knowledge based systems; power system analysis computing; power system control; power system protection; case study; decision support system; electric utility; fault diagnosis; intelligent alarm processing; knowledge based decision support; model based decision support; paradigms; power system protection engineers; protection operation validation; Data engineering; Decision support systems; Fault diagnosis; Knowledge engineering; Power engineering and energy; Power system modeling; Power system protection; SCADA systems; Systems engineering and theory; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3115-X
Type :
conf
DOI :
10.1109/ISAP.1996.501071
Filename :
501071
Link To Document :
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