• DocumentCode
    923501
  • Title

    A probabilistic load flow method considering branch outages

  • Author

    Hu, Zechun ; Wang, Xifan

  • Author_Institution
    Dept. of Electr. Power Eng., Xi´´an Jiaotong Univ., China
  • Volume
    21
  • Issue
    2
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    507
  • Lastpage
    514
  • Abstract
    This paper proposes a probabilistic load flow method considering random branch outages as well as uncertainties of nodal power injections. Branch outages are simulated by fictitious power injections at the corresponding nodes. A unified procedure is given to deal with random branch outages, generating unit outages, and load uncertainties by their moments and cumulants. The variations of nodal voltages and line flows produced by normally and discretely distributed input variables are handled separately. The method proposed by Von Mises is employed to solve the discrete distribution part of each state and output variable. The final distribution of a desired variable is obtained by simply convoluting its continuous and discrete distribution part. Results of 24-bus IEEE Reliability Test System are analyzed and compared to those obtained by Monte Carlo simulation. A numerical test on a real power system shows the effectiveness of the proposed method.
  • Keywords
    Monte Carlo methods; load flow; power system reliability; testing; 24-bus IEEE reliability test system; Monte Carlo; discrete distribution; load uncertainties; nodal power injections; probabilistic load flow method; random branch outages; Convolution; Equations; Input variables; Load flow; Power system planning; Power system reliability; Power system simulation; System testing; Uncertainty; Voltage; Branch outage; Von Mises method; cumulant; probabilistic load flow (PLF); probability distribution function (PDF);
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2006.873118
  • Filename
    1626353