• DocumentCode
    3111264
  • Title

    A Jumping Genes Scheme for Multi-objective Coordinated Voltage Control

  • Author

    Ma, H.M. ; Man, K.F. ; Hill, David J.

  • Author_Institution
    Electron. Eng. Dept., City Univ. of Hong Kong, Kowloon
  • fYear
    2006
  • fDate
    16-18 Aug. 2006
  • Firstpage
    195
  • Lastpage
    200
  • Abstract
    A new jumping genes evolutionary algorithm is proposed for searching the agreeable solution for retaining the voltage profile. On the basis of optimal coordinated voltage control structure, this scheme was testified using the New England 39-bus power system. The main feature of this optimization method is its ability to find the extreme non-dominated solutions that could fulfill the voltage control requirement even when the objective function are contradicted with each other.
  • Keywords
    evolutionary computation; optimal control; voltage control; 39-bus power system; coordinated voltage control; evolutionary algorithm; jumping genes scheme; optimal control; Capacitors; Communication system control; Control systems; Evolutionary computation; Power system control; Power system modeling; Power systems; Predictive control; Predictive models; Voltage control; Pareto front; coordinated voltage control; evolutionary algorithm; jumping genes; multi-objective optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2006 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-9700-2
  • Electronic_ISBN
    0-7803-9701-0
  • Type

    conf

  • DOI
    10.1109/INDIN.2006.275759
  • Filename
    4053386