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 Systems Control, Plymouth, MN, USA
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 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 is described and case studies are provided to illustrate
Keywords :
SCADA systems; artificial intelligence; expert systems; load management; power system control; AI; EMS; applications; artificial intelligence; case studies; design; expert system; power systems; Artificial intelligence; Energy management; Expert systems; Medical services; Power system analysis computing; Power system control; Power system dynamics; Power system modeling; Power system security; SCADA systems;
Conference_Titel :
Power Industry Computer Application Conference, 1995. Conference Proceedings., 1995 IEEE
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-2663-6
DOI :
10.1109/PICA.1995.515278
