• DocumentCode
    2053704
  • Title

    A practical multi-phase distribution state estimation solution incorporating smart meter and sensor data

  • Author

    Xiaoming Feng ; Fang Yang ; Peterson, W.

  • Author_Institution
    US Corp. Res. Center, ABB Inc., Raleigh, NC, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the increasing deployment of smart meters and other smart grid sensors in distribution systems, the amount of available measurements grows unprecedentedly abundant. This change makes it possible to do distribution system state estimation, which provides more coherent and accurate as-operated condition serving as a foundation for various smart grid applications. This paper presents the development work on a distribution system state estimation (DSE) utilizing smart meter and other sensor data, as well as traditional SCADA telemetries. It describes the problem formulation, solution methodology, modeling issues unique to distribution systems, and test results on multiple distribution circuits from a large distribution company.
  • Keywords
    SCADA systems; power distribution; power system measurement; power system state estimation; smart meters; smart power grids; DSE; SCADA telemetries; distribution systems; multiple distribution circuits; practical multiphase distribution state estimation solution; sensor data; smart grid sensors; smart meter; solution methodology; Current measurement; Load modeling; Mathematical model; Measurement uncertainty; Power measurement; State estimation; Voltage measurement; Distribution system; augmented weighted least square method; pseudo measurement; smart meter and sensor data; state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345111
  • Filename
    6345111