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Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model

Author

Listed:
  • Zhiwen Deng

    (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China)

  • Chang Xu

    (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    College of Energy and Electric Engineering, Hohai University, Nanjing 211100, China)

  • Zhihong Huo

    (College of Energy and Electric Engineering, Hohai University, Nanjing 211100, China)

  • Xingxing Han

    (College of Energy and Electric Engineering, Hohai University, Nanjing 211100, China)

  • Feifei Xue

    (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China)

Abstract

In recent years, a major focus on wind farm wake control is to maximise the production of wind farms. To improve the power generation efficiency of wind farms through wake regulation, this study investigates yaw optimisation for wind farm production maximisation from the perspective of time-varying wakes. To this end, we first deduce a simplified dynamic wake model according to the momentum conservation theory and backward difference method. The accuracy of the proposed model is verified by simulation comparisons. Then, the time lag of wake propagation and its impact on wind farm production maximisation through wake meandering is analysed. On this basis, a yaw optimisation method for increasing wind farm energy capture is presented. This optimisation method uses the proposed dynamic wake model for wind farm prediction. The results indicate that the optimisation period is critical to the effect of the optimisation method on wind farm energy capture.

Suggested Citation

  • Zhiwen Deng & Chang Xu & Zhihong Huo & Xingxing Han & Feifei Xue, 2023. "Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model," Energies, MDPI, vol. 16(9), pages 1-20, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3932-:d:1140718
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    References listed on IDEAS

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