• DocumentCode
    2364375
  • Title

    Web Services for Automated Fault Analysis in Electrical Power System

  • Author

    Musaruddin, Mustarum ; Zivanovic, Rastko

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Adelaide Adelaide, Adelaide, SA, Australia
  • fYear
    2009
  • fDate
    25-27 Aug. 2009
  • Firstpage
    829
  • Lastpage
    832
  • Abstract
    Web Services for Automated Fault Analysis (WS-AFA) in Electrical Power System is described in this paper. WS-AFA is a new solution to investigate and analyze fault and disturbance records from Digital Fault Recorders (DFRs) or other Intelligent Electronic Devices (IEDs) in substations. The paper describes the overall system architecture as well as the implementation of the services. C# and Dot NET technology has been successfully used for efficient implementation of the Web services. WS-AFA is composed of signal segmentation, signal analysis, fault type classification, fault recorded viewer and fault location services. Such services are designed to enhance manual investigation performed by engineers in power utility.
  • Keywords
    C++ language; Web services; fault location; power system faults; signal processing; substation automation; C#; Dot NET technology; Web services for automated fault analysis; digital fault recorders; electrical power system; fault location services; fault recorded viewer; fault type classification; intelligent electronic devices; overall system architecture; power utility; signal analysis; signal segmentation; substations; Circuit faults; Control systems; Information analysis; Power engineering and energy; Power system analysis computing; Power system faults; Power system protection; SCADA systems; Service oriented architecture; Web services; Automated Fault Analysis; Service-Oriented Architecture; Web Services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5209-5
  • Electronic_ISBN
    978-0-7695-3769-6
  • Type

    conf

  • DOI
    10.1109/NCM.2009.352
  • Filename
    5331649