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