WIND FARM LAYOUT OPTIMIZATION BASED ON GRID-COORDINATE GENETIC ALGORITHM

Jiang Qiujun; Zheng Haitao; Yang Qingshan; Zhou Xuhong; Huang Guoqing; Lin Yifeng

doi:10.19912/j.0254-0096.tynxb.2020-1302

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (8) : 266-272. DOI: 10.19912/j.0254-0096.tynxb.2020-1302

WIND FARM LAYOUT OPTIMIZATION BASED ON GRID-COORDINATE GENETIC ALGORITHM

Jiang Qiujun¹, Zheng Haitao¹, Yang Qingshan², Zhou Xuhong², Huang Guoqing², Lin Yifeng³

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Abstract

In this paper,Jensen's wake model is adopted to describe the interference effect of the wake among wind turbines. The number of wind turbines and the initial position of the layout are obtained based on the improved grid genetic algorithm,then the coordinated genetic algorithm is used to further optimize the position of the wind turbines,thereby increasing the power generation per unit cost. With the proposed method,three different wind scenarios （single wind direction,multiple wind directions with constant intensity and multiple wind directions with various intensities） are considered and the turbine layout optimization was carried out for the standard 2 km×2 km wind farm and the irregular wind farm. Comparative analysis shows that the proposed method can effectively increase power generation.

Key words

optimization / genetic algorithm / wind farm / grid / coordinate / irregular area

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Jiang Qiujun, Zheng Haitao, Yang Qingshan, Zhou Xuhong, Huang Guoqing, Lin Yifeng. WIND FARM LAYOUT OPTIMIZATION BASED ON GRID-COORDINATE GENETIC ALGORITHM[J]. Acta Energiae Solaris Sinica. 2022, 43(8): 266-272 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1302

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