采用Jensen尾流模型来描述风电机组间尾流的干扰效应。首先基于网格化的改进遗传算法获得风电机组的数量和布局初始位置,再通过坐标化遗传算法对风电机组位置进行进一步调整优化,从而提高单位成本的发电量。根据所提出的方法,在3种不同的风场（定风向定风速、定风速变风向和变风速变风向）下,针对2 km×2 km的标准风场区域进行风电机组布局优化,再将其应用到不规则的实际案例,对比分析表明所提出的方法能有效提高发电量。
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.
关键词
优化 /
遗传算法 /
风电场 /
网格 /
坐标 /
不规则区域
Key words
optimization /
genetic algorithm /
wind farm /
grid /
coordinate /
irregular area
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基金
国家自然科学基金（52178456）; 111引智基地项目（B18062）
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