• DocumentCode
    2847589
  • Title

    Calculation method of active power output of wind farms connected to grids based on FRC

  • Author

    Chen, Ning ; Zhang, Yun

  • Author_Institution
    Sch. of Mech. & Automotive Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    2420
  • Lastpage
    2423
  • Abstract
    A new method to calculate active power output of large-scale wind farms connected to power grids, based on the fuzzy random chance-constrained programming(FRC )theory, is presented in this paper. The calculation of calculate active power output can be turned into a FRC programming problem which constrained conditions. A mathematical model of calculate active power in wind power integrated system based on FRC programming form is put forward, including ramp constrains of the generating units, output restricted zone, line transmission capacity, reserved capacity constraints, the balance of load, and so on. The problem can be 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; power system interconnection; power transmission lines; wind power plants; FRC theory; IEEE30 system; active power output; fuzzy random chance-constrained programming; fuzzy simulations; large-scale wind farms; line transmission capacity; load balance; particle swarm optimization; power grid connection; reserved capacity constraints; Fluctuations; Large-scale systems; Mathematical model; Mathematical programming; Particle swarm optimization; 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
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498806
  • Filename
    5498806