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Assessment of flicker limits compliance for wind energy conversion system in the frequency domain

Author

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  • Vilar, Carolina
  • Amarís, Hortensia
  • Usaola, Julio

Abstract

Fixed-speed wind turbines produce voltage flicker during switching operations and they also produce flicker during continuous operation. In order to avoid power quality problems to consumers, it would be important to predict flicker emission from wind turbines at a certain site previously to installation. This paper focuses on a method to perform a fast flicker analysis caused by grid-connected fixed-speed wind turbines in continuous operation. The method has been developed completely in the frequency domain, including wind turbines. This method predicts the Pst value for each node system. Applying this method there would be no need to perform measurements in every node, which would be nearly impossible or to simulate the whole model in the time domain, demanding an enormous computational effort and storage capacity. The performance of the frequency domain method is applied to analyze different wind energy generation scenarios to assess their influence in a real power system.

Suggested Citation

  • Vilar, Carolina & Amarís, Hortensia & Usaola, Julio, 2006. "Assessment of flicker limits compliance for wind energy conversion system in the frequency domain," Renewable Energy, Elsevier, vol. 31(8), pages 1089-1106.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:8:p:1089-1106
    DOI: 10.1016/j.renene.2005.06.008
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    Cited by:

    1. Roy, Sanjoy, 2014. "Performance prediction of active pitch-regulated wind turbine with short duration variations in source wind," Applied Energy, Elsevier, vol. 114(C), pages 700-708.
    2. Eltham, Douglas C. & Harrison, Gareth P. & Allen, Simon J., 2008. "Change in public attitudes towards a Cornish wind farm: Implications for planning," Energy Policy, Elsevier, vol. 36(1), pages 23-33, January.
    3. Kazak, Jan & van Hoof, Joost & Szewranski, Szymon, 2017. "Challenges in the wind turbines location process in Central Europe – The use of spatial decision support systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 425-433.

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