Abstract
Earlier research [1] by the Institute of Energy and Environment and SP PowerSystems demonstrated that multi-agent systems technology could be used to integrate a number of software tools to automate the analysis and management of power systems monitoring data. This paper focuses on issues raised during the migration from an off-line prototype to an on-line multi-agent system for use at SP PowerSystems. The authors believe that the system described in this paper is one of the first of its type to be deployed in the electrical power industry for continual on-line use by operational engineers.
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References
J. Hossack, S.D.J McArthur, E.M. Davidson et al. “A multi-agent intelligent interpretation system for power system disturbance diagnosis” Applications and Innovations in Intelligent Systems X, 2002, 91–104.
Zeus Agent Toolkit: Available: http://more.btexact.com/projects/agents/zeus/
FIPA Specifications: Available: http://www.fipa.org/
Z.A. Vale, et al “Better KBS for real-time applications in power system control centres: the experience of the SPARSE project” Comp. In Ind. 1998, 37–111
J.R. McDonald, G.M. Burt, D.J. Young. Alarm Processing and fault diagnosis using knowledge based systems for transmission and distribution network control. IEEE Trans. on Power Systems 1992; 7(3): 1292–1298.
M. Kezunovic, I. Rikalo, B. Vesovic, S.L. Goiffon, “The Next Generation System for Automated DFR File Classification”, Fault & Disturbance Analysis Conference, May 1998.
L. Cederblad, P.O. Gjerde “A Knowledge-based System for the Automatic Evaluation of Disturbance Recordings” CIGRE, Paris, Paper 34–204, August 1992
E. Davidson, S.D.J. McArthur, J.R. McDonald, “A Tool-Set for Applying Model Based Reasoning Techniques to Diagnostics of Power Systems Protection”, IEEE Trans on Power Systems, 2003
A Dysko, J.R. McDonald, G.M. Burt “Integrated Modelling Environment: a platform for dynamic protection modelling and advanced functionality”, IEEE Transmission and Distribution Conf, April 1999.
J. de Kleer, B.C. Williams “Diagnosing multiple faults” Artificial Intelligence, 1987, 32(1):97–130
T. Wittig, N.R. Jennings, E.M. Mandani, “ARCHON — A Framework for Intelligent Co-operation” IEE-BSC Journal of Intelligent Systems Engineering, 3(3):168–179
J.A. Hossack, J. Menal, S.D.J. McArthur, J.R. McDonald, “A Multi-Agent Architecture for Protection Engineering Diagnostic Assistance”, IEEE Trans on Power Systems, 2003.
Java Agent Development Framework (JADE): Available: http://jade.cselt.it/
Maes, Patti. “Agents that reduce work and information overload” Communications of the ACM, 1994 37(7): 31–40
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© 2005 Springer-Verlag London Limited
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Davidson, E.M., McArthur, S.D.J., McDonald, J.R., Cumming, T., Watt, I. (2005). Automating the Analysis and Management of Power System Data using Multi-agent Systems Technology. In: Macintosh, A., Ellis, R., Allen, T. (eds) Applications and Innovations in Intelligent Systems XII. SGAI 2004. Springer, London. https://doi.org/10.1007/1-84628-103-2_11
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DOI: https://doi.org/10.1007/1-84628-103-2_11
Publisher Name: Springer, London
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