• DocumentCode
    3151399
  • Title

    Optimizing the voltage measurements location for the management of active distribution networks

  • Author

    Bignucolo, F. ; Caldon, R.

  • Author_Institution
    Univ. of Padova, Padova
  • fYear
    2007
  • fDate
    4-6 Sept. 2007
  • Firstpage
    960
  • Lastpage
    964
  • Abstract
    By increasing the penetration of distributed generators connected to existing radial medium voltage distribution systems, DSOs have to leave traditional passive management philosophies and adopt innovative management strategies. In particular the control of active networks by means of a distribution management system requires the adoption of state estimation algorithms for the real time identification of the overall system operational state. The costs for a widespread on-line remote measurement system prompts for a reduced number of voltage measurements optimally located within the network. To this aim a procedure based on a genetic algorithm and a suitable parameter here denoted as "variance moment" has been developed and tested.
  • Keywords
    distributed power generation; genetic algorithms; power distribution planning; power system state estimation; voltage measurement; active distribution networks; distributed generators; distribution management system; genetic algorithm; radial medium voltage distribution systems; state estimation algorithms; variance moment; voltage measurements location; Electric variables measurement; Engineering management; Fluid flow measurement; Genetic algorithms; Innovation management; Load flow; Medium voltage; Power measurement; State estimation; Voltage measurement; Distributed Generation; Measurement Location; State Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
  • Conference_Location
    Brighton
  • Print_ISBN
    978-1-905593-36-1
  • Electronic_ISBN
    978-1-905593-34-7
  • Type

    conf

  • DOI
    10.1109/UPEC.2007.4469078
  • Filename
    4469078