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Wind farm layout optimization for wake effect uniformity

机译:优化风电场布局以实现唤醒效果均匀性

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The basic objective of wind farm layout optimization is to maximize the energy produced by wind farms. However, when wind turbines are arranged in a limited space like an onshore wind farm, specific wind turbines may have greater wake exposure than other wind turbines. This phenomenon can be conspicuous in a mixed layout that consists of turbines with different capacities and hub heights. In this study, we developed and tested a new objective function to increase wind farm energy output while making the wake loss of each wind turbine uniform. The purpose of this function is to adjust the wake effects of all of the wind turbines on a wind farm to similar levels, thereby promoting the operational stability of all of the wind turbines. Layout optimization was performed using a simulated annealing algorithm, which is a heuristic method, with actual wind conditions for an existing wind farm in operation. Then, the results obtained using the proposed method were compared with those yielded by layout optimization for energy maximization. The layout generated using the proposed objective function had lower energy output than that obtained by energy maximization. However, this difference was small and the proposed method prevented wake effect concentration on specific turbines by making the wake effect levels uniform. (C) 2019 Elsevier Ltd. All rights reserved.
机译:风电场布局优化的基本目标是使风电场产生的能量最大化。然而,当风力涡轮机被布置在诸如陆上风电场的有限空间中时,特定的风力涡轮机可能比其他风力涡轮机具有更大的尾流暴露。在由不同容量和轮毂高度的涡轮机组成的混合布局中,这种​​现象可能会很明显。在这项研究中,我们开发并测试了一个新的目标函数,可以增加风电场的能量输出,同时使每个风力涡轮机的尾流损失均匀。此功能的目的是将风电场上所有风力涡轮机的尾流影响调节到相似的水平,从而提高所有风力涡轮机的运行稳定性。使用模拟退火算法(这是一种启发式方法)对运行中的现有风电场的实际风况进行布局优化。然后,将使用该方法获得的结果与通过布局优化获得的能量最大化结果进行比较。使用提出的目标函数生成的布局具有比通过能量最大化获得的布局更低的能量输出。然而,该差异很小,并且所提出的方法通过使尾流效果水平均匀来防止尾流效果集中在特定涡轮机上。 (C)2019 Elsevier Ltd.保留所有权利。

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