• DocumentCode
    1876314
  • Title

    Probabilistic load flow solution using method of moments

  • Author

    Patra, S. ; Misra, R.B.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, India
  • fYear
    1993
  • fDate
    7-10 Dec 1993
  • Firstpage
    922
  • Abstract
    This paper presents a simple method for obtaining a probabilistic load flow solution using the method of moments. Bus voltages, line currents, line admittances, generated power and bus loads are considered as complex random variables. These complex random variables are known in terms of probability density functions. The probability density functions of bus voltages and line currents are evaluated using well known load flow equations in terms of moments and cumulants. Expressions for the convolutions of complex random variables in terms of moments and cumulants have been derived. All combinations of generator and/or transmission line outages are considered in the evaluation of quality of bus voltages indices and in determining the suitability of the transmission system to adequately carry the generated powers to the customer load points. The proposed method is very fast because the process of convolution of various complex random variables is performed in the moment and cumulant domain. Further, the method may be applied to the security analysis of bulk power systems
  • Keywords
    electric generators; electrical faults; load flow; power systems; power transmission lines; probability; transmission networks; bulk power systems; bus loads; bus voltages; customer load points; generated power; generator outages; line admittances; line currents; method of moments; probabilistic load flow; probability density functions; security analysis; transmission line outages; transmission system;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on
  • Conference_Location
    IET
  • Print_ISBN
    0-85296-569-9
  • Type

    conf

  • Filename
    292599