• DocumentCode
    3558463
  • Title

    Load flow solution for ill-conditioned power systems by quadratically convergent Newton-like method

  • Author

    Tripathy, S.C. ; Purge Prasad, G.S.S.S.K.

  • Author_Institution
    Indian Institute of Technology, Department of Electrical Engineering, New Delhi, India
  • Volume
    127
  • Issue
    5
  • fYear
    1980
  • fDate
    9/1/1980 12:00:00 AM
  • Firstpage
    273
  • Lastpage
    280
  • Abstract
    This paper presents an application of mathematician K.M. Browns method to load-flow solution. The method is particularly effective for the solution of ill-conducted systems of nonlinear algebraic equations. It is a variation of Newtons method incorporating Gaussian elimination in such a way that the most recent information is always used at each step of the algorithm; similar to what is done in the Gauss-Seidal process. The iteration converges locally and the convergence is quadratic in nature. It is not necessary for the user to provide partial derivatives of load-flow equations in the computer program. A general discussion of ill-conditioning of a system of algebraic equations is given, and it is also shown by fixed- point formulation that the proposed method falls in the general category of successive approximation methods. Digital computer solutions by the proposed method are given for several ill-conditioned power systems for which the standard load-flow methods failed to converge. A comparison of this method with the standard load-flow methods is also presented for the well-conditioned AEP 30 and 57 bus systems.
  • Keywords
    load flow; matrix algebra; power systems; Newton´s method incorporating Gaussian elimination; computer solutions; load flow solution; nonlinear algebraic equations; power systems;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings C
  • Publisher
    iet
  • Conference_Location
    9/1/1980 12:00:00 AM
  • ISSN
    0143-7046
  • Type

    jour

  • DOI
    10.1049/ip-c.1980.0043
  • Filename
    4643267