Extracting knowledge from substations for decision support

IEEE Transactions on Power Delivery

Volumn 20, Issue 2 I, 2005, Pages 595-602

  Hor, Ching Lai ^a   Crossley, Peter A ^b  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

Data overload; Data reduction; Decision support; Discernibility matrix; Knowledge acquisition; Rough sets

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA REDUCTION; DECISION SUPPORT SYSTEMS; ELECTRIC SUBSTATIONS; ROUGH SET THEORY;

DATA OVERLOAD; DISCERNIBILITY MATRIX; KNOWLEDGE EXTRACTION;

KNOWLEDGE ACQUISITION;

EID: 17844402276     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2004.838515     Document Type: Article

References (16)

1. L. Andersson and K. Brand, "The benefits of the coming standard IEC 61 850 for communication in substations," in Proc. Southern African Conf. Power System Protection, Johannesburg, South Africa, Nov. 8-9. 2000.
2. M. Adamiak and W. Premerlani, "The role of utility communications in a deregulated environment," in Proc. IEEE 32rd Hawaii Int. Conf. System Sciences, Hawaii, U.S., 2000.
3. W. Ackerman, "The impact of IED on the design of systems used for operation and control of power systems," in Proc. Inst. Elect. Eng. 5th Int. Conf. Power System Management and Control, London, U.K., Apr. 17-19, 2002.
4. L. Smith, "Analysis of substation data," A Report by IEEE Working Group 1-19 to the Relaying Practices Subcommittee, 2002.
5. N. Malheiro, Z. Vale, C. Ramos, and A. Marques, "Providing explanations in a real-time expert system for control center operator assistance," in Proc. IEEE Power Tech Conf., Budapest, Hungary, 1999.
6. A. Apostolov, "Distributed intelligence in integrated substation protection and control systems," in Proc. IEEE 13th Conf. Electricity Power Supply Industry, CEPSI 2000, Manila, Philippines, Oct. 23-27, 1999.
7. W. Frawley, G. Shapiro, and C. Matheus. "Knowledge discovery in databases: an overview," The American Association for Artificial Intelligence, Fall 1992.
8. G. Torres, "Application of rough sets in power system control center data mining," in Proc. IEEE Power Engineering Society Winter Meeting New York, U.S., Jan. 27-31, 2002.
9. "Real time security monitoring and control of power systems," in White Paper, Consortium for Electric Reliability Technology Solutions Grid of the Future, Aug. 30, 1999.
10. C. Hor, K. Kangvansaichol, P. Crossley, and A. Shafiu, "Relays models for protection studies," in Proc. IEEE Power Tech '03 Conference, Bologna, Italy, June 23-26, 2003.
11. Technical Guide TG8612C MiCOM P141, P142, P143 Feeder Management Relays Available: http://www.tde.alstom.com [Online]
12. Long Tenn Development Statement for East Midlands Electricity, Summary Information, East Midlands Electricity. (2003, Nov.). http://www.eme. co.uk/customerservice/development_statement [Online]
13. Z. Pawlak, "Rough set approach to knowledge based decision support," in Proc. 14th European Conference on Operational Research, Jerusalem, Israel, July 3-6. 1995.
14. J. Komorowski. Z. Pawlak, L. Polkowski, and A. Skowron, Rough sets: A Tutorial Rough Fuzzy Hybridization. A New Trend in Decision-Making, S. K. Pal and A. Skowron, Eds, Singapore: Springer-Verlag, 1999.
15. A. Skowron and C. Rauszer. The Discernibility Matrices and Functions in Information Systems Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory. Dordrecht: Kluwer Academic Publishers, 1992.
16. R. Wurman, Information Anxiety: What to do When Information Doesn't Tell You What You Need To Know. New York, U.S.: Doubleday/Bantam Books, 1989.