• DocumentCode
    1361193
  • Title

    Fast three phase load flow methods

  • Author

    Zhang, Xiao-Ping

  • Author_Institution
    Nanjing Autom. Res. Inst., China
  • Volume
    11
  • Issue
    3
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    1547
  • Lastpage
    1554
  • Abstract
    In this paper, three-phase sequence decoupling-compensation models of unsymmetrical transmission lines are introduced. By combining these models with the well-known Newton-Raphson and fast-decoupled algorithms, two novel methods-sequence decoupling-compensation Newton-Raphson (SDCNR) and sequence decoupling-compensation fast-decoupled (SDCFD) methods-used for three-phase load flow studies are proposed, which can be used to analyze both normal and abnormal three-phase power system steady-state operation. The computation accuracy, computation speed and convergence characteristics of these methods are then investigated. From these investigations, their advantages of high accuracy, high speed, reliable convergence are verified. In this paper, parallel implementation of these methods is also discussed
  • Keywords
    Newton-Raphson method; convergence of numerical methods; load flow; power system analysis computing; power transmission lines; transmission line theory; CPU time; computation accuracy; computation speed; computer simulation; convergence characteristics; parallel implementation; sequence decoupling-compensation Newton-Raphson method; sequence decoupling-compensation fast-decoupled method; three-phase load flow; three-phase power system steady-state operation; three-phase sequence decoupling-compensation models; unsymmetrical transmission lines; Convergence; Load flow; Load flow analysis; Mathematical model; Power generation; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power transmission lines;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.535696
  • Filename
    535696