• DocumentCode
    676625
  • Title

    Probabilistic load flow computation in power system including wind farms with correlated parameters

  • Author

    Xue Li ; Jia Cao ; Pan Lu

  • Author_Institution
    Dept. of Autom., Shanghai Univ., Shanghai, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper is concerned with the probabilistic load flow (PLF) calculation including wind farms with correlated nodal injections. A steady-state probabilistic model for wind farms is firstly constructed. The PLF model for a grid-connected induction wind power system is then proposed. Moreover, the correlation samples between nodal injections were generated by Cholesky Factorization method. The four schemes in point estimate method, 2m scheme, 2m+1 scheme, 3m scheme and 4m+1 scheme, were employed to solve the PLF. The proposed method was tested on the improved 5-bus system. Simulation results confirm that 3m scheme of point estimate method has higher calculation precision when used to solve the PLF whether the impact of correlated powers is considered. Meanwhile, it is also shown that the correlation of nodal powers should be considered in PLF analysis.
  • Keywords
    power grids; probability; wind power plants; 2m scheme; 2m+1 scheme; 3m scheme; 4m+1 scheme; Cholesky factorization method; PLF model; correlated nodal injections; correlated parameters; grid-connected induction wind power system; nodal power correlation; point estimate method; probabilistic load flow computation; steady-state probabilistic model; wind farms; Probabilistic load flow; correlated nodal injections; wind farm;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2013), 2nd IET
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-758-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.1837
  • Filename
    6718748