• DocumentCode
    1702035
  • Title

    AI-based methods in practical fault location of medium voltage distribution feeders

  • Author

    Järventausta, P. ; Verho, P. ; Kärenlampi, M. ; Partanen, J.

  • Author_Institution
    Tampere Univ. of Technol., Finland
  • fYear
    1996
  • Firstpage
    164
  • Lastpage
    169
  • Abstract
    The fault location expert system is an application of a distribution management system, which is a part of the integrated control center environment composed of different computer systems and distribution automation. The expert system applies AI-based methods (e.g., object-oriented modeling, blackboard technique, fuzzy reasoning, decision tree) in incorporating data on external systems in order to support the control center operator in network operation. At present the expert system is in everyday use in several distribution utilities
  • Keywords
    SCADA systems; artificial intelligence; diagnostic expert systems; distribution networks; fault location; power system control; AI-based methods; blackboard technique; data incorporation; decision tree; distribution automation; distribution management system; distribution utilities; fault location expert system; fuzzy reasoning; integrated control center environment; medium voltage distribution feeders; object-oriented modeling; Application software; Automation; Centralized control; Distributed computing; Environmental management; Expert systems; Fault location; Fuzzy reasoning; Medium voltage; Object oriented modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-3115-X
  • Type

    conf

  • DOI
    10.1109/ISAP.1996.501062
  • Filename
    501062