Research on a random search algorithm for wind turbine layout optimization

Peng, Huaiwu1; Zhu, Wei2; Ma, Haitao2; Li, Huaxiang3; Zhang, Rikui2; Chen, Kang1

2023-09-01

10.1063/5.0159271

JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY   影响因子和分区

1941-7012

Wind turbine layout design has an important impact on the energy production and economic benefits of wind farms. The wind resource grid data include the realistic wind distributions of the wind farm. Combined with the Jensen wake model, it can be used to calculate the net production considering the wake effect of turbines. Based on the wind resource grid data and taking net energy production as the objective function, this paper proposes a random search algorithm for wind turbine layout optimization. The algorithm couples the random function with multiple optimization parameters and optimizes the wind turbine layout by considering restriction conditions of area and minimum turbine spacings. According to the results of the case study in an actual wind farm, the optimization processes using the proposed algorithm have high calculation efficiency and stability. The sensitivity analysis of parameters indicates that the effect of optimization calculation can be effectively improved by appropriately increasing the turbine coordinate searching range or the number of random operations within one single search.

SCI ; EI

英语

其他

National Key R&D Program of China[2022YFB4202100] ; Innovation Capability Support Program of Shaanxi[2023-CX-TD-30] ; Power Construction Corporation of China[DJ-HXGG-2021-03]

Science & Technology - Other Topics ; Energy & Fuels

Green & Sustainable Science & Technology ; Energy & Fuels

WOS:001066965200001

AIP Publishing

20233814763506

Electric utilities ; Learning algorithms ; Sensitivity analysis ; Wakes ; Wind power

Wind Power (Before 1993, use code 611 ):615.8 ; Fluid Flow, General:631.1 ; Machine Learning:723.4.2 ; Mathematics:921

Web of Science

1.Powerchina, Northwest Engn Corp Ltd, Xian 710065, Shaanxi, Peoples R China
2.Shenzhen Tenfong Technol Co Ltd, Shenzhen 518000, Guangdong, Peoples R China
3.Southern Univ Sci & Technol, Jiaxing Res Inst, Jiaxing 314000, Zhejiang, Peoples R China

Peng, Huaiwu,Zhu, Wei,Ma, Haitao,et al. Research on a random search algorithm for wind turbine layout optimization[J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY,2023,15(5).

Peng, Huaiwu,Zhu, Wei,Ma, Haitao,Li, Huaxiang,Zhang, Rikui,&Chen, Kang.(2023).Research on a random search algorithm for wind turbine layout optimization.JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY,15(5).

Peng, Huaiwu,et al."Research on a random search algorithm for wind turbine layout optimization".JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY 15.5(2023).