• DocumentCode
    3110293
  • Title

    Study of multisolution quadratic load flow problems and applied Newton-Raphson like methods

  • Author

    Makarov, Yuri V. ; Hiskens, Ian A. ; Hill, David J.

  • Author_Institution
    Newcastle Univ., NSW, Australia
  • Volume
    2
  • fYear
    1995
  • fDate
    30 Apr-3 May 1995
  • Firstpage
    1508
  • Abstract
    A number of facts about quadratic load flow problems y=f(x)=0, x∈Rxn, y∈Ry n is proved. The main results are the following: If any point x belongs to a straight line connecting a pair of distinct solutions in the state space Rxn, the Newton-Raphson iterative process goes along this line. If a loading process y(β) reaches a singular point of the problem, the corresponding trajectory of state variables x(β) in Rxn tends to the right eigenvector nullifying the Jacobian matrix at the singular point. In any singular point of the quadratic problem, there are two solutions which merge at this point. The maximum number of solutions on any straight line in state the space Rxn is two. Along a straight line through two distinct solutions of a quadratic problem, this problem can be reduced to a single scaler quadratic equation which locates these solutions. In addition, a number of other properties is reported. New proofs of them are given. There is a point of singularity in the middle of a straight line connecting a pair of distinct solutions in the state space Rxn. A vector co-linear to a straight line connecting a pair of distinct solutions in Rx n nullifies the Jacobian matrix at the point of singularity in the middle of the line
  • Keywords
    Jacobian matrices; Newton-Raphson method; load flow; state-space methods; Jacobian matrix; Newton-Raphson iterative methods; eigenvector; multisolution quadratic load flow; singular point; state space; Artificial intelligence; Eigenvalues and eigenfunctions; Equations; Jacobian matrices; Joining processes; Load flow; Taylor series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2570-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.1995.521421
  • Filename
    521421