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Comparative Analysis of Wind Farm Simulators for Wind Farm Control

Author

Listed:
  • Minjeong Kim

    (Department of Aerospace Engineering, Sejong University, Seoul 05006, Republic of Korea)

  • Hyeyeong Lim

    (Department of Aerospace Engineering, Sejong University, Seoul 05006, Republic of Korea)

  • Sungsu Park

    (Department of Aerospace Engineering, Sejong University, Seoul 05006, Republic of Korea)

Abstract

This paper conducts a comparative analysis of three wind farm simulators, examining the influence of wake on the local wind speed and power output for downstream turbines using experimental data. The study features experiments in three distinct scenarios, evaluating differences among the simulators by calculating the local wind speed and power for each. Each simulator employs a unique wake model, which substantially affects the local wind speed experienced by downstream turbines. Furthermore, the experiment involves adjusting parameter values for each simulator to assess their respective impacts on wind farm performance. The findings of this research are expected to play an important role in investigations related to power optimization and wake effects in the wind farm control.

Suggested Citation

  • Minjeong Kim & Hyeyeong Lim & Sungsu Park, 2023. "Comparative Analysis of Wind Farm Simulators for Wind Farm Control," Energies, MDPI, vol. 16(9), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3676-:d:1132272
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    References listed on IDEAS

    as
    1. González-Longatt, F. & Wall, P. & Terzija, V., 2012. "Wake effect in wind farm performance: Steady-state and dynamic behavior," Renewable Energy, Elsevier, vol. 39(1), pages 329-338.
    2. Qian, Guo-Wei & Ishihara, Takeshi, 2021. "Wind farm power maximization through wake steering with a new multiple wake model for prediction of turbulence intensity," Energy, Elsevier, vol. 220(C).
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