• DocumentCode
    2337705
  • Title

    Active power output calculation of wind farms connected to power grids based on fuzzy chanceconstrained programming

  • Author

    Zhu He ; Xu Jianyuan ; Wang Xiaoyu

  • Author_Institution
    Shenyang Univ. of Technol., Shenyang
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    2141
  • Lastpage
    2144
  • Abstract
    Based on the fuzzy random chance-constrained programming(FRC)theory, the paper presents a method to calculate active power output of large-scale wind farms connected to power grid. The calculation of calculate active power output can be turned into a FRC programming problem which constrained conditions. This paper put forward a mathematical model of calculate active power in wind power integrated system based on FRC programming form. These include ramp constrains of the generating units, output restricted zone, line transmission capacity, reserved capacity constraints, the balance of load, and so on. The question is solved by particle swarm optimization based fuzzy simulations. The results on IEEE30 system demonstrate the advantages of the proposed approach.
  • Keywords
    fuzzy set theory; particle swarm optimisation; power grids; wind power; IEEE30 system; active power output calculation; fuzzy random chance-constrained programming theory; fuzzy simulation; line transmission capacity; mathematical model; particle swarm optimization; power grids; programming form; reserved capacity constraints; wind farms; wind power integrated system; Fluctuations; Mathematical model; Mathematical programming; Particle swarm optimization; Power grids; Wind energy; Wind energy generation; Wind farms; Wind speed; Wind turbines; active power output; fuzzy chance-constrained programming; particle swarm optimization; wind farms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138575
  • Filename
    5138575