• DocumentCode
    2090581
  • Title

    Reactive Power Optimization in Smart Grid With Wind Power Generator

  • Author

    Wei Xiwen ; Qiu Xiaoyan ; Xu Jian ; Li Xingyuan

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the acceleration of smart grid construction, Distributed Generation (DG) integration technology needs to be developed urgently. Reactive power optimization including windfarm is studied, and the variability and intermittency of wind speed is considered in this paper. The multi-objective reactive power optimization model including network loss, average deviation of voltage and stability margin of static voltage is established. The traditional genetic arithmetic is improved, and logarithmic barrier function in interior point method is introduced into the fitness function. So premature and partial convergence is avoided and the problem that some voltage values easily approach the upper limit in the traditional reactive power optimization is solved. The effectiveness of the proposed method is demonstrated on IEEE-57 bus system with wind farm.
  • Keywords
    distributed power generation; genetic algorithms; reactive power; smart power grids; wind power plants; IEEE-57 bus system; distributed power generation; fitness function; genetic arithmetic; interior point method; logarithmic barrier function; multi-objective reactive power optimization model; network loss; smart grid; stability margin; wind power generator; wind speed; Acceleration; Distributed control; Mesh generation; Power generation; Reactive power; Smart grids; Voltage; Wind energy; Wind energy generation; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448321
  • Filename
    5448321