• DocumentCode
    783802
  • Title

    Multiobjective Coordinated Power Voltage Control Using Jumping Genes Paradigm

  • Author

    Ma, H.M. ; Ng, Kai-Tat ; Man, Kim F.

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon
  • Volume
    55
  • Issue
    11
  • fYear
    2008
  • Firstpage
    4075
  • Lastpage
    4084
  • Abstract
    A new jumping genes paradigm in the format of hierarchical genetic algorithm is proposed for optimizing the power voltage control systems. The advantage of this scheme is its unique capacity for finding the required solutions that can be used for stabilizing the progressive voltage drop or even voltage collapse of a power system. Because of the multiobjective classification, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of the coordinated voltage control system. The application of the proposed paradigm is verified upon the New England 39-bus power system. A tradeoff between the recovery time and the quality of voltage control exists and largely depends upon the number of steps for control actions.
  • Keywords
    genetic algorithms; power system stability; voltage control; genetic algorithms; jumping genes; power voltage control; recovery time; voltage collapse; voltage instability; Genetic algorithms (GAs); genetic algorithms; hierarchical genetic algorithm; hierarchical genetic algorithm (HGA); jumping genes; jumping genes (JG); voltage control; voltage instability;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2008.928107
  • Filename
    4559378