• DocumentCode
    1437800
  • Title

    Model-based analysis of protection system performance

  • Author

    Bell, S.C. ; McArthur, S.D.J. ; McDonald, J.R. ; Burt, G.M. ; Mather, R. ; Cumming, T.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
  • Volume
    145
  • Issue
    5
  • fYear
    1998
  • fDate
    9/1/1998 12:00:00 AM
  • Firstpage
    547
  • Lastpage
    552
  • Abstract
    Following a power system fault, protection engineers have to analyse the protection scheme activity to ensure correct operation. To aid them in this task, data gathering systems are increasingly being fitted to power systems. However, during extreme operating conditions, the volume of data made available by these systems can be overwhelming. To help overcome this, knowledge-based systems have been developed and installed at ScottishPower´s corporate headquarters to extract the relevant `information´ from the supervisory control and data acquisition (SCADA) system `data´. The paper reports on the next stage of decision support for the protection engineers which builds upon the diagnosis provided by the knowledge-based systems. This enhanced support is provided by a model-based diagnostic system which provides automatic analysis of the available fault recorder data. This system utilises the most appropriate techniques employed by existing model-based diagnostic systems. A novel approach for handling tolerances associated with the operating times of protection scheme components is introduced, thus enabling modelling measurement inaccuracies to be dealt with
  • Keywords
    SCADA systems; diagnostic expert systems; electrical faults; power system analysis computing; power system measurement; power system protection; SCADA system data; data gathering systems; decision support; knowledge-based systems; model-based analysis; model-based diagnostic system; power network protection system performance; power system fault; tolerances handling;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:19982183
  • Filename
    723981