• DocumentCode
    939140
  • Title

    Efficient Newton-Raphson algorithm for load-flow calculation in transmission and distribution networks

  • Author

    Irving, M.R. ; Sterling, M.J.H.

  • Author_Institution
    University of Durham, School of Engineering and Applied Science, Durham, UK
  • Volume
    134
  • Issue
    5
  • fYear
    1987
  • fDate
    9/1/1987 12:00:00 AM
  • Firstpage
    325
  • Lastpage
    330
  • Abstract
    An efficient algorithm is presented for load-flow solutions in electrical power systems. The algorithm is based on the Newton-Raphson process and uses a partitioned-matrix approach to the Jacobian equation which was previously suggested for array-processor applications. It is shown that this approach is also beneficial when using conventional computer systems. The numerical method and computation techniques employed are described, and their relationship to modern computer architectures is considered. The algorithm is highly efficient for the solution of transmission networks but also has particular advantages for lower-voltage networks, and for difficult or ill conditioned load-flow problems. Computational results, obtained using minicomputer hardware, are given for a variety of networks of up to 734 nodes. The numerical method which has been developed is also applicable to other power-system problems including state estimation and dynamic simulation.
  • Keywords
    distribution networks; load flow; power system analysis computing; transmission network calculations; Jacobian equation; Newton-Raphson algorithm; computation techniques; computer architectures; distribution networks; dynamic simulation; electrical power systems; load-flow calculation; lower-voltage networks; minicomputer hardware; partitioned-matrix approach; state estimation; transmission networks;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings C
  • Publisher
    iet
  • ISSN
    0143-7046
  • Type

    jour

  • DOI
    10.1049/ip-c.1987.0053
  • Filename
    4647206