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Investigation into spacing restriction and layout optimization of wind farm with multiple types of wind turbines

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  • Sun, Haiying
  • Yang, Hongxing
  • Gao, Xiaoxia

Abstract

In this paper, a new Directional Restriction method is presented to restrict the spacing between wind turbines. Compared to existing restrictions, the new method additionally considers the influence of wind directions, and the restriction for each wind turbine is related to its rotor diameter. Therefore, the method is especially effective for the site with obvious prevailing wind directions. With the Directional Restriction, a wind farm optimization process applying the Multi-Population Genetic Algorithm has been presented. The optimization can exploit the wind resource more effectively and can be used to optimize the layout of nonuniform wind farm. Four representative cases are then studied and discussed: (a) aligned layout with uniform wind turbines; (b) optimized layout with uniform wind turbines; (c) optimized layout with nonuniform wind turbines and (d) a commercial nonuniform offshore wind farm. Through these cases, the utilization rate of a nonuniform wind farm with five types of wind turbines can increase to 99.21%, in which the minimum utilization rate of a single wind turbine is 94.27%. Especially, in the last case, a potential offshore wind farm in Sha Chau Island in Hong Kong is analyzed. The results demonstrate that the proposed optimization method is practical in designing wind farms. The coastal area in Hong Kong is the ideal region to develop offshore wind power.

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  • Sun, Haiying & Yang, Hongxing & Gao, Xiaoxia, 2019. "Investigation into spacing restriction and layout optimization of wind farm with multiple types of wind turbines," Energy, Elsevier, vol. 168(C), pages 637-650.
    • Handle: RePEc:eee:energy:v:168:y:2019:i:c:p:637-650
    DOI: 10.1016/j.energy.2018.11.073
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    References listed on IDEAS

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    6. Sun, Haiying & Gao, Xiaoxia & Yang, Hongxing, 2020. "A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    7. Jiang, Wei & Kan, Jingyu & Dong, Baocan & Li, Xingxun & Wang, Xiaohui & Deng, Chun & Liu, Bei & Li, Qingping & Sun, Changyu & Chen, Guangjin, 2023. "Natural gas hydrate exploitation and recovered natural gas liquefaction driven by wind power: Process modelling and energy performance evaluation," Energy, Elsevier, vol. 282(C).
    8. Ting Wang & Qiya Wang & Caiqing Zhang, 2021. "Research on the Optimal Operation of a Novel Renewable Multi-Energy Complementary System in Rural Areas," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    9. He, Ruiyang & Sun, Haiying & Gao, Xiaoxia & Yang, Hongxing, 2022. "Wind tunnel tests for wind turbines: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
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    14. Tao, Siyu & Xu, Qingshan & Feijóo, Andrés & Zheng, Gang & Zhou, Jiemin, 2020. "Nonuniform wind farm layout optimization: A state-of-the-art review," Energy, Elsevier, vol. 209(C).
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    16. Froese, Gabrielle & Ku, Shan Yu & Kheirabadi, Ali C. & Nagamune, Ryozo, 2022. "Optimal layout design of floating offshore wind farms," Renewable Energy, Elsevier, vol. 190(C), pages 94-102.
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