• DocumentCode
    475088
  • Title

    Advanced stochastic analysis of massive DG penetration — A voltage quality case study

  • Author

    Liang Tao ; Mueller, Matthias ; Schwaegerl, Christine

  • Author_Institution
    Siemens AG, Berlin
  • fYear
    2008
  • fDate
    23-24 June 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper demonstrates why and how a stochastic load flow method based on sequential Monte Carlo simulation is applied to the voltage quality analysis of an existing medium voltage network with very high penetration of DG (distributed generation) units. Simulation results exhibit that oversized DG and large R/X ratio of distribution lines could lead to voltage quality issues that cannot be simply solved by traditional control measures such as on-load transformer tap changer (OLTC) or reactive power compensation techniques. Both preventive and remedial solutions to this problem are discussed in consequence.
  • Keywords
    Monte Carlo methods; distributed power generation; load flow; power distribution lines; stochastic processes; distributed generation; distribution line; load flow method; massive DG penetration; sequential Monte Carlo simulation; stochastic analysis; voltage quality analysis;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    SmartGrids for Distribution, 2008. IET-CIRED. CIRED Seminar
  • Conference_Location
    Frankfurt
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-935-5
  • Type

    conf

  • Filename
    4591835