基于尾流效应的低风速地区风电场布局优化方法
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河北工业大学控制科学与工程学院,河北工业大学控制科学与工程学院,天津市明阳风电设备有限公司,河北工业大学控制科学与工程学院,河北工业大学控制科学与工程学院,河北工业大学控制科学与工程学院

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TK 89

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Optimization of Wind Power Distribution in Low Wind Speed Region Based on Wake Effect
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Hebei University of Technology School of Control Science and Engineering,Hebei University of Technology School of Control Science and Engineering,,Hebei University of Technology School of Control Science and Engineering,Hebei University of Technology School of Control Science and Engineering,Hebei University of Technology School of Control Science and Engineering

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    摘要:

    为了减少低风速地区风电场尾流效应对其发电能力的影响,提出一种通过改变风机塔筒高度以提高风电场收益的布局优化方法。首先分析了塔筒高度与风电场年发电量的关系,进而优化风电场主风向上机组塔筒高度以使轮毂海拔高度呈渐进式增加,实现风电场年发电量提升的同时尾流损失下降的优化目标。最后,使用Wasp10.0风资源评估软件建立风电场模型,与未使用优化方法的风电场进行仿真对比。仿真结果表明,随着主风向上前后排机组轮毂海拔高度差值的不断增加,风电场年发电量不断增加,验证了所提方法的有效性。

    Abstract:

    In order to reduce the influence of the wake effect of the wind farm on its generating capacity in low wind speed region, a layout optimization method is proposed to improve the profit of wind farm by changing the wind turbine tower height. Firstly, the relationship between the tower height and the annual power generation of the wind farm is analyzed, and then the tower height of the main wind direction of the wind farm is optimized to gradually increase the altitude value of the hub, to achieve the optimization target of the decrease of the wake loss while the annual power generation of the wind farm is raised. Finally, the Wasp10.0 wind resource evaluation software is used to establish the wind farm model, and the simulation is compared with the wind farm without the optimization method. The simulation results show that with the constant increase of the altitude difference value of the hub between the front and rear rows of the main wind direction, the annual power generation of the wind farm is increasing and the effectiveness of the proposed method is verified.

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刘晴晴,王华君,何昌国,等. 基于尾流效应的低风速地区风电场布局优化方法[J]. 科学技术与工程, 2018, 18(1): .
liu qingqing, Wan huajun,,et al. Optimization of Wind Power Distribution in Low Wind Speed Region Based on Wake Effect[J]. Science Technology and Engineering,2018,18(1).

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  • 收稿日期:2017-05-27
  • 最后修改日期:2017-07-25
  • 录用日期:2017-08-30
  • 在线发布日期: 2018-01-19
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