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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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    1. Shakoor, Rabia & Hassan, Mohammad Yusri & Raheem, Abdur & Wu, Yuan-Kang, 2016. "Wake effect modeling: A review of wind farm layout optimization using Jensen׳s model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1048-1059.
    2. Pookpunt, Sittichoke & Ongsakul, Weerakorn, 2013. "Optimal placement of wind turbines within wind farm using binary particle swarm optimization with time-varying acceleration coefficients," Renewable Energy, Elsevier, vol. 55(C), pages 266-276.
    3. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2014. "Study on offshore wind power potential and wind farm optimization in Hong Kong," Applied Energy, Elsevier, vol. 130(C), pages 519-531.
    4. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2014. "Investigation into the optimal wind turbine layout patterns for a Hong Kong offshore wind farm," Energy, Elsevier, vol. 73(C), pages 430-442.
    5. Feng, Ju & Shen, Wen Zhong, 2017. "Design optimization of offshore wind farms with multiple types of wind turbines," Applied Energy, Elsevier, vol. 205(C), pages 1283-1297.
    6. Park, Jinkyoo & Law, Kincho H., 2015. "Layout optimization for maximizing wind farm power production using sequential convex programming," Applied Energy, Elsevier, vol. 151(C), pages 320-334.
    7. Chowdhury, Souma & Zhang, Jie & Messac, Achille & Castillo, Luciano, 2013. "Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions," Renewable Energy, Elsevier, vol. 52(C), pages 273-282.
    8. Grady, S.A. & Hussaini, M.Y. & Abdullah, M.M., 2005. "Placement of wind turbines using genetic algorithms," Renewable Energy, Elsevier, vol. 30(2), pages 259-270.
    9. Parada, Leandro & Herrera, Carlos & Flores, Paulo & Parada, Victor, 2017. "Wind farm layout optimization using a Gaussian-based wake model," Renewable Energy, Elsevier, vol. 107(C), pages 531-541.
    10. Mittal, Prateek & Kulkarni, Kedar & Mitra, Kishalay, 2016. "A novel hybrid optimization methodology to optimize the total number and placement of wind turbines," Renewable Energy, Elsevier, vol. 86(C), pages 133-147.
    11. Song, Zhe & Zhang, Zijun & Chen, Xingying, 2016. "The decision model of 3-dimensional wind farm layout design," Renewable Energy, Elsevier, vol. 85(C), pages 248-258.
    12. Sun, Haiying & Yang, Hongxing, 2018. "Study on an innovative three-dimensional wind turbine wake model," Applied Energy, Elsevier, vol. 226(C), pages 483-493.
    13. Perveen, Rehana & Kishor, Nand & Mohanty, Soumya R., 2014. "Off-shore wind farm development: Present status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 780-792.
    14. Chen, K. & Song, M.X. & Zhang, X. & Wang, S.F., 2016. "Wind turbine layout optimization with multiple hub height wind turbines using greedy algorithm," Renewable Energy, Elsevier, vol. 96(PA), pages 676-686.
    15. Kusiak, Andrew & Zheng, Haiyang, 2010. "Optimization of wind turbine energy and power factor with an evolutionary computation algorithm," Energy, Elsevier, vol. 35(3), pages 1324-1332.
    16. Pérez, Beatriz & Mínguez, Roberto & Guanche, Raúl, 2013. "Offshore wind farm layout optimization using mathematical programming techniques," Renewable Energy, Elsevier, vol. 53(C), pages 389-399.
    17. Hou, Peng & Enevoldsen, Peter & Hu, Weihao & Chen, Cong & Chen, Zhe, 2017. "Offshore wind farm repowering optimization," Applied Energy, Elsevier, vol. 208(C), pages 834-844.
    18. Chowdhury, Souma & Zhang, Jie & Messac, Achille & Castillo, Luciano, 2012. "Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation," Renewable Energy, Elsevier, vol. 38(1), pages 16-30.
    19. Ilinca, Adrian & McCarthy, Ed & Chaumel, Jean-Louis & Rétiveau, Jean-Louis, 2003. "Wind potential assessment of Quebec Province," Renewable Energy, Elsevier, vol. 28(12), pages 1881-1897.
    20. Vasel-Be-Hagh, Ahmadreza & Archer, Cristina L., 2017. "Wind farm hub height optimization," Applied Energy, Elsevier, vol. 195(C), pages 905-921.
    Full references (including those not matched with items 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).
    15. Wu, Chutian & Yang, Xiaolei & Zhu, Yaxin, 2021. "On the design of potential turbine positions for physics-informed optimization of wind farm layout," Renewable Energy, Elsevier, vol. 164(C), pages 1108-1120.
    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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    18. Kevin A. Adkins & Adrian Sescu, 2022. "Wind Farms and Humidity," Energies, MDPI, vol. 15(7), pages 1-15, April.
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