• DocumentCode
    930823
  • Title

    Continuation load flow using automatically determined branch megawatt losses as parameters

  • Author

    Nino, E.E. ; Castro, C.A. ; da Silva, L.C.P. ; Alves, D.A.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Campinas, Brazil
  • Volume
    153
  • Issue
    3
  • fYear
    2006
  • fDate
    5/11/2006 12:00:00 AM
  • Firstpage
    300
  • Lastpage
    308
  • Abstract
    The conventional Newton´s method is considered to be inadequate for the computation of the maximum loading point (MLP) of power systems since: (i) it encounters difficulties in the vicinity of the MLP: and (ii) the load flow Jacobian matrix becomes singular at the MLP. It is well known that continuation methods are powerful and useful tools that are able to trace the solution PV curve without experiencing such difficulties. However, continuation methods require a parameterisation so that a modified, well conditioned set of load flow equations is obtained. In particular, the Jacobian matrix associated with this modified set of equations should not be singular at the MLP. The authors propose that the actual power losses in transmission branches (lines and transformers) are used to parameterise the approach. Specific procedures for the automatic determination of the most appropriate parameter (branch) are proposed. Such procedures include the utilisation of fast voltage-stability indices. Simulation results are presented to show that the proposed method is able to trace the whole solution PV curve very efficiently.
  • Keywords
    Jacobian matrices; load flow; losses; power system stability; Jacobian matrix; PV curve; branch megawatt losses; continuation load flow; load flow equations; maximum loading point; power losses; power systems; transmission branches; voltage collapse; voltage-stability indices;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20045153
  • Filename
    1629535