• DocumentCode
    3387498
  • Title

    The Intelligent Methods Used in Prediction the Wind Speed and Output Power of Wind Farm

  • Author

    Zhang, Xinyan ; Chen Chongchong ; Wang, Weiqing ; Dai, Yi

  • Author_Institution
    Sch. of Electr. Eng., Xinjiang Univ., Urumqi, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The wind speed and wind power of wind farm prediction become more and more important as the increasing installation of wind turbines and the establishment of the large scale wind farms. Because the stochastic and intermittent property of wind speed, the prediction problem is very difficult to solve. The prediction method using BP neural network, wavelet BP neural network, and supported vector machine was studied in this paper. The simulation results shows that the method used in this paper can give a better prediction, but there is still more other algorithm need to be studied to enhance the prediction precision.
  • Keywords
    backpropagation; neural nets; power engineering computing; stochastic processes; support vector machines; wind power; wind power plants; wind turbines; intelligent method; intermittent property; stochastic property; support vector machine; wavelet BP neural network; wind farm; wind power; wind speed; wind turbines; Support vector machines; Wind energy; Wind farms; Wind power generation; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307085
  • Filename
    6307085