考虑不同约束区间的风电场布局分级优化

印四华; 杨碧霞; 朱成就; 张明康; 柳柏杨; 汪泉

doi:10.7638/kqdlxxb-2023.0138

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考虑不同约束区间的风电场布局分级优化

研究论文 | 更新时间：2026-05-28

- 考虑不同约束区间的风电场布局分级优化
- Hierarchical wind farm layout optimization considering different constraint conditions
- 空气动力学学报 2024年42卷第5期页码：110-117
- 作者机构：
  
  1. 广东海洋大学机械与能源工程学院,阳江,529500
  2. 广东中科启航技术有限公司,佛山,528225
  3. 佛山市南海区广工大数控装备协同创新研究院,佛山,528225
  4. 湖北工业大学机械工程学院,武汉,430068
- 作者简介：
  
  印四华（1983—），博士，研究方向：智能制造，风力发电机叶片关键技术. E-mail：yinsihua@gdou.edu.cn
  张明康*（1992—），男，博士，副教授，研究方向：材料力学. E-mail：zhangmk@gdou.edu.cn
- 基金信息：
  
  国家自然科学基金面上项目（51975190）;广东海洋大学科研启动经费资助项目（360302022202）
- DOI：10.7638/kqdlxxb-2023.0138
  中图分类号： TK89
- 纸质出版：2024
- 稿件说明：
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印四华, 杨碧霞, 朱成就, 等. 考虑不同约束区间的风电场布局分级优化[J]. 空气动力学学报, 2024, 42(5): 110−117.

YIN Sihua, YANG Bixia, ZHU Chengjiu, et al. Hierarchical wind farm layout optimization considering different constraint conditions[J]. 2024, 42(5): 110-117.
印四华, 杨碧霞, 朱成就, 等. 考虑不同约束区间的风电场布局分级优化[J]. 空气动力学学报, 2024, 42(5): 110−117. DOI： 10.7638/kqdlxxb-2023.0138

YIN Sihua, YANG Bixia, ZHU Chengjiu, et al. Hierarchical wind farm layout optimization considering different constraint conditions[J]. 2024, 42(5): 110-117. DOI： 10.7638/kqdlxxb-2023.0138.

摘要

为了提高风电场布局优化中尾流模型预测精度，以便能够较好预测风机安装台数和最大限度降低度电成本，本文基于改进三维尾流模型，考虑风力机处于不同约束区间，采用分级优化策略对2 km × 2 km风电场进行精确布局优化。首先，利用网格法对风电场进行第一阶优化；其次，考虑不同约束区间，采用坐标法对第一级优化结果进行第二阶优化。研究表明：与Jensen尾流模型相比，改进后的三维尾流模型可以更合理地优化风电场布局；考虑收敛速度及度电成本，当约束区域为

imit

= 150、200 m时，第二阶算法迭代速度较快，优化后其度电成本为0.8498/W，相比第一阶优化结果，降低了3.33%。

Abstract

Low prediction accuracy of wake model for wind farm layout and the impact of different constraint regions on the optimization results hinder the accurate prediction of the wind turbine number and minimize the energy cost. Based on an improved 3D wake model

a 2 km × 2 km wind farm layout is optimized using a hierarchical optimization strategy by taking different constraint conditions into account. The coordinate method is used to perform the second-order optimization on the first-order optimization results obtained by the grid method. It is shown that compared to the Jensen wake model

an improved 3D wake model is more reasonable to optimize the wind farm layout. Considering the convergence spee

d and the power cost

when the constraint interval is

$ l_{\text{imit}} = 150\;{\mathrm{and}}\; 200 \;{\mathrm{m}} $

img text_id='M3' class='formula-img' style='display:none;' src='2023-138_M3.jpg'>

the second-order algorithm has a faster iterative speed

and the power cost is 0.8498/W

which is 3.33% lower than the first-order optimization. The optimized layout shield light on the wind turbines installation.

关键词

Keywords

references

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