• DocumentCode
    690683
  • Title

    Wind power prediction model considering smoothing effects

  • Author

    Chen Biyun ; Wang Suifeng ; Zhang Yongjun ; He Ping

  • Author_Institution
    Sch. of Electr. Eng., Guangxi Univ., Nanning, China
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel model of wind farm power output prediction is presented to obtain more accurate results in this paper, in which the smoothing effect and wake effect are integrated into the four-component wind speed model. The speed of wind turbines on different spatial positions can be determined by simulating the influence of wake effect on the speed of wind and considering the delay of wind transmission in the proposed model, and then the smoothing effect of power output is expressed by the overlap of power to shape the power output curve. The simulation shows that the proposed model has high precision and is suitable to evaluate the shock of injected wind power to the power systems, and it is more applicable for power units reserved capacity adjustment and ramping rate correction, and is also good for appropriate reliability assessments of power system with wind farms connected.
  • Keywords
    power generation reliability; wind power plants; wind turbines; four-component wind speed model; power system reliability assessments; power units reserved capacity adjustment; ramping rate correction; smoothing effect; wake effect; wind farm power output prediction; wind transmission; wind turbines; Mathematical model; Predictive models; Smoothing methods; Wind farms; Wind power generation; Wind speed; Wind turbines; four-component wind speed model; smoothing effect; wind farm; wind power prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/APPEEC.2013.6837186
  • Filename
    6837186