A Framework for Expert Systems Development Integrated to a SCADA/EMS Environment

This paper introduces a new framework for expert systems, fully integrated into a SCADA/EMS real time control software, whose main goal is to support the creation of new applications without demanding the developing of additional rule processing software. In order to validate this framework, two applications that address the daily needs of control centers were developed: SISPRO (alarm processing system) and RECOMP (power systems restoration support system). Results show that this tool allows for quicker problem solving, error reduction and operator capacity increase.

[1]  Bradley N. Miller,et al.  Integration of artificial intelligence applications in the EMS: issues and solutions , 1995 .

[2]  L.E. Borges da Silva,et al.  Intelligent restoration of the CESP transmission system , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[3]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[4]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[5]  Douglas E. Comer,et al.  Internetworking with TCP/IP, Volume 1: Principles, Protocols, and Architectures, Fourth Edition , 2000 .

[6]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[7]  Dan Boneh,et al.  On genetic algorithms , 1995, COLT '95.

[8]  Hoay Beng Gooi,et al.  Artificial intelligence in diagnosis and supply restoration for a distribution network , 1998 .

[9]  Jiawei Han,et al.  Discovery of Multiple-Level Association Rules from Large Databases , 1995, VLDB.

[10]  M.E. El-Hawary,et al.  A self-organizing fuzzy power system stabilizer , 1998, Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341).

[11]  Amit Bhaya,et al.  Evolving fuzzy rules to model gene expression , 2007, Biosyst..

[12]  Kevin Tomsovic,et al.  Advanced power system controls using intelligent systems , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).