DocumentCode :
765778
Title :
Integration of artificial intelligence applications in the EMS: issues and solutions
Author :
Bann, J. ; Irisarri, G. ; Kirschen, D. ; Miller, B. ; Mokhtari, S.
Author_Institution :
Empros Power Syst. Control, Plymouth, MN, USA
Volume :
11
Issue :
1
fYear :
1996
fDate :
2/1/1996 12:00:00 AM
Firstpage :
475
Lastpage :
482
Abstract :
This paper discusses the issues which must be addressed when integrating artificial intelligence (AI) and, in particular, expert system applications in an energy management system (EMS) environment. It is argued that these issues can be resolved by creating an environment which supports all the interfaces between the artificial intelligence (AI) applications and the EMS. This environment should also be responsible for maintaining a model of the power system common to all the AI applications. Once this environment has been created, AI applications can be easily “plugged” into the EMS. The design of such an environment, the operator decision environment, is described and studies of its implementation are provided to illustrate its flexibility
Keywords :
artificial intelligence; decision support systems; expert systems; load management; power engineering computing; power systems; EMS; artificial intelligence; energy management system; expert system; operator decision environment; power system model; topology processing; Application software; Artificial intelligence; Energy management; Expert systems; Medical services; Power system analysis computing; Power system control; Power system modeling; Power system security; SCADA systems;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.486136
Filename :
486136
Link To Document :
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