• DocumentCode
    1632005
  • Title

    Automatic identification of service phase for electric utility customers

  • Author

    Seal, B.K. ; McGranaghan, M.F.

  • Author_Institution
    Electr. Power Res. Inst. (EPRI), Knoxville, TN, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Utility distribution systems are becoming increasingly intelligent, with continued advancements in sensors, monitoring, and controls. In some cases, these improvements make it possible for the utility to isolate faults and reenergize sections of line from alternative points of feed. Under normal circumstances, utilities may dynamically reconfigure their system to optimize overall operating efficiency. With these capabilities comes increased need for detailed three phase models of the distribution system that identify existing equipment and loads on a per-phase basis. This granularity is needed in order to make informed decisions regarding distribution switching, optimization, and control. This paper presents a technique and preliminary test results for a method of automatically identifying the phase of each customer by correlating voltage information from the utility´s SCADA system with voltage information from customer electricity meters.
  • Keywords
    SCADA systems; electricity supply industry; optimisation; power distribution faults; power system identification; power system measurement; automatic identification; customer electricity meter; distribution switching; electric utility customer; fault isolation; operating efficiency; phase model; utility SCADA system; utility distribution system; voltage information; Correlation; Monitoring; Power systems; Seals; Switches; Testing; Voltage control; Power distribution automation; Power distribution planning; Power distribution systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039623
  • Filename
    6039623