• DocumentCode
    605062
  • Title

    Harmonic current characteristic analysis for wind turbines

  • Author

    Chuo-Yean Chang ; Shun-Yu Chan ; Jen-Hao Teng ; Rong-Ceng Leou

  • Author_Institution
    Dept. of Electr. Eng., Cheng-Shiu Univ., Kaohsiung, Taiwan
  • fYear
    2013
  • fDate
    22-25 April 2013
  • Firstpage
    919
  • Lastpage
    923
  • Abstract
    This paper analyzes the harmonic current characteristic of wind turbines. Field measurement, data sorting, and analysis are conducted for wind turbine. Most wind turbines at present use a power converter and are equipped with harmonic filters, the control results of these equipments will become highly stochastic as wind speed changes. Even if there is a slight difference in the wind speed, harmonic output of wind turbine will be quite different. If harmonic currents are segmented and the probability density distributions are calculated, then different viewpoints as can be observed. Although harmonic currents of the wind turbine are stochastic, the probability density distributions are close to normal distribution. A stochastic harmonic current predictor is then proposed in this paper based on the probability density distributions of harmonic current. Test results show that the harmonic currents of a wind turbine in long-term operation can be effectively analyzed by the established probability density distributions.
  • Keywords
    harmonic analysis; power convertors; power harmonic filters; statistical distributions; stochastic processes; wind turbines; data sorting; field measurement; harmonic current characteristic analysis; harmonic filters; power converter; probability density distributions; stochastic harmonic current predictor; wind speed; wind turbines; Current measurement; Gaussian distribution; Harmonic analysis; Power harmonic filters; Wind speed; Wind turbines; Harmonic Current Characteristic; Probability Density Distribution; Wind Turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Drive Systems (PEDS), 2013 IEEE 10th International Conference on
  • Conference_Location
    Kitakyushu
  • ISSN
    2164-5256
  • Print_ISBN
    978-1-4673-1790-0
  • Electronic_ISBN
    2164-5256
  • Type

    conf

  • DOI
    10.1109/PEDS.2013.6527149
  • Filename
    6527149