• DocumentCode
    1719515
  • Title

    Hybrid Method for Calculating the Maximum Loading Point using Continuation Load Flow and Nonlinear Programming Techniques

  • Author

    Bedriñana, Manfred ; Bedoya, Duvier ; Castro, Carlos A.

  • Author_Institution
    Power Syst. Dept., Univ. of Campinas, Campinas
  • fYear
    2007
  • Firstpage
    1929
  • Lastpage
    1934
  • Abstract
    The computation of the maximum loading point (MLP) is crucial to power systems operation and control, There are several methodologies proposed to compute it. The continuation load flow (CLF) is very robust, widely known to draw PV curves, and can be also used for computing the MLP. However it has some drawbacks, the procedure may diverge for some cases and it is very conservative for some networks, taking many iterations. Other efficient technique using nonlinear programming (NLP) has been proposed recently. This method presents clear advantages due to the orientation of the process in direction to the MLP. This paper presents a method based on the CLF and NLP. The idea is to compute the MLP taking some features of the CLF combined with characteristics of NLP. With this combination the MLP can be evaluated with more accuracy and efficiency. Simulations for different systems including IEEE test systems are shown to evaluate the performance of the method. Some comparisons of the methodologies are also shown.
  • Keywords
    load flow; nonlinear programming; power system control; power system security; power system stability; continuation load flow; maximum loading point; nonlinear programming techniques; power system security; power systems control; power systems operation; Control systems; Load flow; Power system control; Power system interconnection; Power system security; Power system simulation; Power system stability; Power systems; Robustness; System testing; Power system security; maximum loading point; nonlinear programming; voltage stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2007 IEEE Lausanne
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2189-3
  • Electronic_ISBN
    978-1-4244-2190-9
  • Type

    conf

  • DOI
    10.1109/PCT.2007.4538612
  • Filename
    4538612