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Automating power system fault diagnosis through multi-agent system technology

McArthur, S.D.J. and Davidson, E.M. and Hossack, J.A. and McDonald, J.R. (2004) Automating power system fault diagnosis through multi-agent system technology. [Proceedings Paper]

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Abstract

Fault diagnosis within electrical power systems is a time consuming and complex task. SCADA systems, digital fault recorders, travelling wave fault locators and other monitoring devices are drawn upon to inform the engineers of incidents, problems and faults. Extensive research by the authors has led to the conclusion that there are two issues which must be overcome. Firstly, the data capture and analysis activity is unmanageable in terms of time. Secondly, the data volume leads to engineers being overloaded with data to interpret. This paper describes how multi-agent system technology, combined with intelligent systems, can be used to automate the fault diagnosis activity. Within the multi-agent system, knowledge-based and model-based reasoning are employed to automatically interpret SCADA system data and fault records. These techniques and the design of the multi-agent system architecture that integrates them are described. Consequently, the use of engineering assistant agents as a means of providing engineers with decision support, in terms of timely and summarised diagnostic information tailored to meet their personal requirements, is discussed.

Item type: Proceedings Paper
ID code: 39562
Keywords: automating, power system fault diagnosis, multi-agent system technology, SCADA systems, data analysis, knowledge based systems, model-based reasoning, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Professional Services > Corporate Services Directorate
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 07 May 2012 12:21
    Last modified: 17 Jul 2013 14:06
    URI: http://strathprints.strath.ac.uk/id/eprint/39562

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