• DocumentCode
    879196
  • Title

    Integration of algorithmic and heuristic techniques for transition-optimised voltage and reactive power control

  • Author

    Bie, Z.H. ; Song, Y.H. ; Wang, X.F. ; Taylor, G.A. ; Irving, M.R.

  • Author_Institution
    Dept. of Electr. Eng., Xi´´an Jiaotong Univ., China
  • Volume
    153
  • Issue
    2
  • fYear
    2006
  • fDate
    3/16/2006 12:00:00 AM
  • Firstpage
    205
  • Lastpage
    210
  • Abstract
    An integrated algorithmic and heuristic technique for transition-optimised voltage and reactive power control is presented. The method seeks to provide a ´transition-optimised´ voltage and reactive-power control method. Essentially it considers voltage and reactive power control as a time-based scheduling problem, with the intention of avoiding unnecessary changes in status and output of reactive control plant. The demand profile is classified adaptively using a heuristic iteration method through evaluating the standard deviation and the range of the sequence of load-demand points. Furthermore, an algorithmic transition-optimised model of the volt/VAr control is then presented based on demand-pattern classification. The solution algorithm and different control strategies are studied in the transition optimisation. Case studies illustrate that the integrated algorithmic and heuristic technique for transition-optimised voltage and reactive power control not only effectively reduces power losses, but also greatly simplifies control operations.
  • Keywords
    iterative methods; optimisation; power system control; reactive power control; voltage control; algorithmic transition-optimised model; control reactive power; demand-pattern classification; heuristic iteration method; integrated algorithmic-heuristic technique; power systems; time-based scheduling problem; transition-optimised voltage control; two-step optimisation strategy;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20050019
  • Filename
    1610517