• DocumentCode
    923554
  • Title

    Applying multi-agent system technology in practice: automated management and analysis of SCADA and digital fault recorder data

  • Author

    Davidson, Euan M. ; McArthur, Stephen D J ; Mcdonald, James R ; Cumming, Tom ; Watt, Ian

  • Author_Institution
    Inst. for Energy & Environ., Univ. of Strathclyde, Glasgow, UK
  • Volume
    21
  • Issue
    2
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    559
  • Lastpage
    567
  • Abstract
    This paper reports on the use of multi-agent system technology to automate the management and analysis of SCADA and digital fault recorder (DFR) data. The multi-agent system, entitled Protection Engineering Diagnostic Agents (PEDA), integrates legacy intelligent systems that analyze SCADA and DFR data to provide data management and online diagnostic information to protection engineers. Since November 2004, PEDA agents have been intelligently interpreting and managing data online at a transmission system operator in the U.K. As the results presented in this paper demonstrate, PEDA supports protection engineers by providing access to interpreted power systems data via the corporate intranet within minutes of the data being received. In this paper, the authors discuss their experience of developing a multi-agent system that is robust enough for continual online use within the power industry. The use of existing agent development toolsets and standards is also discussed.
  • Keywords
    SCADA systems; fault diagnosis; multi-agent systems; power engineering computing; power system management; power system protection; recorders; Intranet; SCADA; UK; automated management; data management; digital fault recorder data; intelligent systems; multi-agent system; online diagnostics; power industry; protection engineering diagnostic agents; protection engineers; transmission system operator; Data engineering; Information analysis; Intelligent agent; Intelligent systems; Multiagent systems; Power engineering and energy; Power system management; Power system protection; Systems engineering and theory; Technology management; Cooperative systems; decision support systems; fault diagnosis; intelligent systems; knowledge-based systems; power transmission protection;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2006.873109
  • Filename
    1626359