• DocumentCode
    3472141
  • Title

    Reactive power optimization in area power grid based on improved Tabu search algorithm

  • Author

    Lin, Wennan ; Li, Yihua ; Xu, Xingtao ; Li, Maojun

  • Author_Institution
    Changsha Univ. of Sci. & Technol., Changsha
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    1472
  • Lastpage
    1477
  • Abstract
    In order to meet the requirements of real-time control for reactive power optimization, this paper puts forward a new reactive power optimization method in area power grid, which is the secondary optimization control of voltage and reactive power in area power grid based on improved Tabu search algorithm, first, the minimum active power loss is chosen as objective function, and the improved Tabu search algorithm is applied to the reactive power optimization, in which the top 10 solutions are recorded; second, static voltage stability margins for the top 10 solutions are calculated; thirdly, by using fuzzy set theory, the two objectives including the minimum active power loss and the maximum margin index are converted into single objective, at last, solution corresponding the maximum of single objective function is the final optimal result of reactive power optimization in area power grid. Simulation results indicate that, not only is the improved Tabu search algorithm suitable to solve reactive power optimization in area power grid, but also the secondary optimization control of voltage and reactive power in area power grid based on improved Tabu search algorithm and considering static voltage stability is practicable and effective.
  • Keywords
    fuzzy set theory; optimal control; power grids; reactive power control; search problems; voltage control; area power grid; fuzzy set theory; improved Tabu search algorithm; maximum margin index; minimum active power loss; reactive power control; reactive power optimization; real-time control; secondary optimization control; static voltage stability margins; voltage control; Constraint optimization; Genetic algorithms; Linear programming; Optimal control; Optimization methods; Power grids; Power system stability; Reactive power; Reactive power control; Voltage control; Area power grid; improved Tabu search algorithm; reactive power optimization; static voltage stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523637
  • Filename
    4523637