• DocumentCode
    2906248
  • Title

    A Probabilistic Load Flow with Consideration of Network Topology Uncertainties

  • Author

    Min, Liang ; Zhang, Pei

  • Author_Institution
    Electr. Power Res. Inst., Shandong
  • fYear
    2007
  • fDate
    5-8 Nov. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Our past research proposed to apply Comulants and Gram-Charlier expansion method to perform probabilistic load flow studies with consideration of generation and load uncertainties. This paper proposed a new method to improve the previous PLF computation method in order to model the network topology uncertainties. This innovative method uses distribution factor concept to model the impact of network uncertainties as a linear function of power injections. Maintaining the linear relationship between line flows and power injections enables applying Cumulants and Gram-Charlier expansion method to compute probabilistic distribution functions of transmission line flows. The proposed method is examined using IEEE 30-bus test system. Numerical comparison with Monte Carlo simulation method is also presented in this paper. Study results indicate that the proposed method has significantly reduced the computational efforts while maintaining a high degree of accuracy.
  • Keywords
    Monte Carlo methods; load flow; power transmission lines; power transmission planning; statistical distributions; Cumulants and Gram-Charlier expansion planning; IEEE 30-bus test system; Monte Carlo simulation method; network topology uncertainties; power injections; probabilistic distribution factor concept; probabilistic load flow; transmission line flows; Computer networks; Distributed computing; Distribution functions; Load flow; Load flow analysis; Network topology; Power system modeling; Power transmission lines; System testing; Uncertainty; Cumulants; Distribution Factor; Gram-Charlier Expansion; Probabilistic Load Flow; Probability Distribution Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
  • Conference_Location
    Toki Messe, Niigata
  • Print_ISBN
    978-986-01-2607-5
  • Electronic_ISBN
    978-986-01-2607-5
  • Type

    conf

  • DOI
    10.1109/ISAP.2007.4441587
  • Filename
    4441587