• DocumentCode
    1613791
  • Title

    Research on probabilistic power flow of the distribution system with Photovoltaic System Generation

  • Author

    Yao, Shujun ; Wang, Yan ; Hang, Minxiao ; Liu, Xiaona

  • Author_Institution
    North China Electr. Power Univ., Beijing, China
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    DG based on Photovoltaic System Generation (PVS) has the probabilistic output power relied on natural conditions, the traditional deterministic load flow is not a suitable tool for the analyzing and maintaining distribution system. Aiming at this problem, this paper applies a probabilistic power flow (PLF) method to evaluate the influence of distributed generation with PVS. Firstly, the probabilistic model of PVS is established, Secondly, instead of the conventional Gram-Charlier expansion, the model of combined cumulant and Cornish-Fisher expansion is applied to calculate the PLF. This model has the more convergence for on-Gaussian probabilistic density function. Lastly, the IEEE 34 distribution system with the modification by injecting the PVS to some nodes is tested. The results show that the method in this paper is efficient and reasonable.
  • Keywords
    Gaussian processes; convergence; distributed power generation; load flow; photovoltaic power systems; probability; Cornish-Fisher expansion; PLF; PVS; convergence; distributed generation; distribution system; load flow; on-Gaussian probabilistic density function; photovoltaic system generation; probabilistic power flow; Accuracy; Cornish-Fisher; Gram-Charlier; Photovoltaic System Generation; distributed generation; probabilistic power flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-5938-4
  • Type

    conf

  • DOI
    10.1109/POWERCON.2010.5666569
  • Filename
    5666569