• DocumentCode
    135886
  • Title

    Impact of employing state estimation of distribution networks on state estimation of transmission networks

  • Author

    Alimardani, A. ; Zadkhast, S. ; Therrien, Francis ; Jatskevich, Juri ; Vaahedi, Ebrahim

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The smart meters installed throughout the distribution networks in some regions have opened an opportunity to have reliable State Estimation (SE) at the distribution level. The reliable distribution system SE results can also be used to improve the accuracy and reliability of SE in transmission networks. This paper studies the impact of employing the results of distribution network SE as additional measurements in transmission network SE. It is shown that the observability of transmission networks can be restored using smart meters when it is unobservable. Moreover, improvement in the robustness of SE in transmission networks is studied by monitoring the condition number of the gain matrix in the Weighted Least Squares (WLS) SE process. Finally, it is demonstrated that the accuracy of SE in transmission level can be improved using the results of SE on distribution level.
  • Keywords
    matrix algebra; power distribution reliability; power system state estimation; power transmission reliability; regression analysis; smart meters; distribution level; distribution network state estimation; distribution system reliability; gain matrix; smart meters; transmission network state estimation; weighted least squares SE process; Accuracy; Decision support systems; Electric variables measurement; Observability; Smart grids; Smart meters; State estimation; Accuracy; distribution network state estimation; numerical stability; observability; smart grid; smart meters; transmission network state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939813
  • Filename
    6939813