基于Park-Gauss模型考虑大气稳定性对布局优化的影响
INFLUENCE OF ATMOSPHERIC STABILITY ON LAYOUT OPTIMIZATION BASED ON PARK-GAUSS MODEL
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摘要: 基于Park模型尾流区线性膨胀假设和径向风速呈高斯分布假设,提出一种新的修正型的工程尾流模型Park-Gauss模型,采用小生境遗传算法,并考虑大气稳定性对风电场布局优化的影响。结果表明:对常风速单风向风电场微观选址布局优化结果是风力机组主要布置在垂直风向的第1排和最后1排;大气边界层稳定性对风电场微观选址布局优化影响显著,在大气边界层不稳定状态下,风电场安装机组总数最多、发电总量及风电场利用效率最高,中性状态和稳定状态依次次之。Abstract: A new modified engineering wake model,Park-Gauss model,is proposed under the assumption of wake region’s linear expansion and Gaussian distribution of radial wind velocity in Park model. This new model adopts niche genetic algorithm and takes the effects of atmospheric stability on wind farm layout optimization into consideration. The optimization result of the micro location layout of a wind farm with constant wind speed and single wind direction is to arrange the wind turbine in the first and the last row of the vertical wind direction. The result also shows that the atmospheric boundary layer’s stability has a significant influence on the optimization of wind farm’s micro-sitting layout. Under the condition of unstable atmospheric boundary layer,wind farm can install the largest number of wind turbines and has the highest power generation capacity and utilization efficiency,followed by the neutral state and the stable state.