• DocumentCode
    3483980
  • Title

    State estimation technique for distribution networks

  • Author

    Meldorf, M. ; Treufeldt, Ü ; Kilter, J.

  • Author_Institution
    Univ. of Technol., Tallinn
  • fYear
    2005
  • fDate
    27-30 June 2005
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    From the viewpoint of monitoring the distribution network can be divided into operatively observable and unobservable part. The observable part is controlled and monitored by SCADA. Generally the data available with the help of SCADA will need correction by means of state estimation technique. For supporting the estimation procedure additionally the automatic meter reading (AMR) data from the unobservable part of the distribution network is needed. The target of state estimation is to refine the measuring data, but more specifically to clarify significant measuring errors and mistakes. Usually the redundancy of data required for estimation is not available in distribution networks - the number of measurements is not essentially bigger or is even smaller than the number of main state parameters. It is possible to resolve this problem with the help of an essentially perfect mathematical load model, which can be used for calculation of all load values and characteristics at any time.
  • Keywords
    SCADA systems; automatic meter reading; distribution networks; state estimation; SCADA; automatic meter reading; data redundancy; distribution networks; measuring errors; state estimation technique; State estimation; energy measurement; load forecasting; load modeling; measurement errors; power measurement; power system measurements; power system monitoring; power system state estimation; stochastic approximation; stochastic process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2005 IEEE Russia
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-5-93208-034-4
  • Electronic_ISBN
    978-5-93208-034-4
  • Type

    conf

  • DOI
    10.1109/PTC.2005.4524538
  • Filename
    4524538