• DocumentCode
    1712917
  • Title

    Simplified method to assess the uncertainty degree of voltage estimation in active distribution networks

  • Author

    Bignucolo, F. ; Caldon, R.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Padova, Padova
  • fYear
    2007
  • Firstpage
    431
  • Lastpage
    436
  • Abstract
    The management of future distribution networks involving distributed generation (DG), reactive compensation and/or controllable loads, requires a reliable state estimation (SE) of the system in terms of line flows and bus bar voltages. However traditional SE algorithms, adopted in transmission systems, appear hardly applicable in distribution networks because of the lack of available real time measurements with a consequent high level of uncertainty resulting in the estimations. To overcome this problem an original (non-iterative) process, allowing a preliminary assessment of the uncertainty in voltage estimation, has been developed. The method, based on a performance parameter, here defined as "variance moment", gives for a distribution system a quick and simplified evaluation of the network performance in making a SE. This process results also a good technique for optimizing the locations of voltage measurements showing a sensible reduction in the computational effort with respect to traditional methods.
  • Keywords
    distribution networks; power system measurement; power system state estimation; voltage measurement; active distribution network management; distributed generation; reactive compensation; state estimation; uncertainty degree; voltage estimation; voltage measurement; Computer networks; Control systems; Distributed computing; Distributed control; Optimization methods; Real time systems; State estimation; Uncertainty; Voltage control; Voltage measurement; Active distribution networks; Distributed Generation; State Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2007 IEEE Lausanne
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2189-3
  • Electronic_ISBN
    978-1-4244-2190-9
  • Type

    conf

  • DOI
    10.1109/PCT.2007.4538356
  • Filename
    4538356