• DocumentCode
    857378
  • Title

    Distribution automation system with real-time analysis tools

  • Author

    Shirmohammadi, Dariush ; Liu, WH Edwin ; Lau, Ken C. ; Hong, H. Wayne

  • Author_Institution
    Shir Consultants, San Ramon, CA, USA
  • Volume
    9
  • Issue
    2
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    In the past 10 years, the electric power industry´s involvement in distribution automation (DA) has been principally focused on remote monitoring and control of the distribution systems and their equipment. SCADA has constituted the most significant attribute. Electric utilities in many locations around the world have installed numerous SCADA systems for their distribution substations and feeders and built the infrastructure for real-time distribution operation and control. Real-time data is available to human operators, enabling them to monitor more and more events in their distribution systems and to control automatic equipment remotely. This article features Pacific Gas and Electric Company´s (USA) approach to utilizing the existing infrastructures and available data more effectively by introducing intelligence to DA/SCADA systems through development of advanced analytical tools for operations decision support
  • Keywords
    SCADA systems; distribution networks; expert systems; graphical user interfaces; power system control; power system measurement; real-time systems; substations; telecontrol; telemetry; SCADA; USA; advanced analytical tools; distribution automation; distribution feeders; distribution substations; electric power industry; operations decision support; real-time operation; remote control; remote monitoring; Automatic control; Control systems; Electrical equipment industry; Humans; Industrial control; Power industry; Real time systems; Remote monitoring; SCADA systems; Substation automation;
  • fLanguage
    English
  • Journal_Title
    Computer Applications in Power, IEEE
  • Publisher
    ieee
  • ISSN
    0895-0156
  • Type

    jour

  • DOI
    10.1109/67.491517
  • Filename
    491517