• DocumentCode
    3583819
  • Title

    A new stochastic model of the electric distribution network

  • Author

    Krynsky, J. ; Janecek, E. ; Janecek, P.

  • Author_Institution
    Prague Electr. Distribution Co.
  • fYear
    2004
  • Firstpage
    284
  • Lastpage
    288
  • Abstract
    This paper deals with the problem of estimating operating quantities in low-voltage distribution networks. Presented algorithms are based on a new stochastic model of a distribution network (EDS). Probabilistic modeling is used to respect active and reactive power flow uncertainties as well as the fact, that besides load currents, voltage drops and power losses are stochastic variables. More precisely, the operating quantities are stochastic processes caused by power consumption in the distribution network. They are represented by data containing information on voltage, load current and power loss in given sections of the distribution network. This information can be given either by their mean values or by their maximum values, together with given probability of exceeding these values. The proposed method is applicable to quantities estimation at any point of the distribution network, provided the power consumption of all customers, structure and parameters of the distribution network are known
  • Keywords
    distribution networks; load flow; object-oriented programming; power consumption; power system analysis computing; probability; reactive power; stochastic processes; EDS; active power flow; electric distribution network; load flow analysis; load modeling; low-voltage distribution networks; object oriented programming; power consumption; power demand; power loss; probabilistic modeling; reactive power flow; stochastic approximation; stochastic model; voltage drops; Energy consumption; Load flow analysis; Load modeling; Object oriented modeling; Object oriented programming; Power demand; Reactive power; Stochastic processes; Uncertainty; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2004 International Conference on
  • Print_ISBN
    0-9761319-1-9
  • Type

    conf

  • Filename
    1378702