• DocumentCode
    1195923
  • Title

    A multiagent architecture for protection engineering diagnostic assistance

  • Author

    Hossack, John A. ; Menal, Judith ; McArthur, Stephen D J ; Mcdonald, James R

  • Author_Institution
    Inst. for Energy & Environ., Univ. of Strathclyde, Glasgow, UK
  • Volume
    18
  • Issue
    2
  • fYear
    2003
  • fDate
    5/1/2003 12:00:00 AM
  • Firstpage
    639
  • Lastpage
    647
  • Abstract
    Protection engineers use data from a range of monitoring devices to perform post-fault disturbance diagnosis. In the past, heterogeneous intelligent systems have been developed to interpret the data and provide information to engineers to assist with the disturbance diagnosis task. The majority of these systems remain standalone due to the problems associated with systems integration. This paper proposes the use of multiagent systems for providing a flexible and scalable alternative to existing integration approaches. A novel multiagent system (MAS) has been developed entitled protection engineering diagnostic agents (PEDAs) which integrates a legacy SCADA interpretation system with new systems for digital fault recorder (DFR) record interpretation and for enhancing fault record retrieval from remote DFRs. The use of MAS technology provides a flexible and scalable architecture open to the introduction of new data interpretation systems. The paper discusses the benefits of a multiagent approach and the design and implementation of PEDA.
  • Keywords
    SCADA systems; digital instrumentation; fault diagnosis; multi-agent systems; power system analysis computing; power transmission faults; power transmission protection; recorders; cooperative systems; data interpretation systems; decision support systems; digital fault recorder; fault record retrieval; flexible architecture; intelligent systems; knowledge-based systems; legacy SCADA interpretation system; multiagent architecture; post-fault disturbance diagnosis; power transmission protection; protection engineering diagnostic agents; protection engineering diagnostic assistance; scalable architecture; Artificial intelligence; Data engineering; Decision support systems; Fault diagnosis; Intelligent systems; Monitoring; Multiagent systems; Power engineering and energy; Power system protection; Protocols;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2003.810910
  • Filename
    1198297