基于风力机尾流排斥的平坦地形风电场微观选址优化

王洁; 许昌; 韩星星; 辛子扬; 薛飞飞; 李林敏

doi:10.7500/AEPS20191024006

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基于风力机尾流排斥的平坦地形风电场微观选址优化

学术研究 | 更新时间：2025-06-16

- 基于风力机尾流排斥的平坦地形风电场微观选址优化
- Micro-siting Optimization of Wind Farm in Flat Terrain Based on Wind Turbine Wake Repellency
- 电力系统自动化-方正平台 2020年44卷第15期页码：62-69
- 作者机构：
  
  1. 河海大学能源与电气学院，江苏省南京市 211100
  2. 河海大学水利水电学院，江苏省南京市 210098
  3. 南京河大风电科技有限公司，江苏省南京市 211300
- 作者简介：
  
  王洁（1995—），女，硕士研究生，主要研究方向：风电场微观选址。E-mail：wj2023@126.com
  许昌（1972—），男，通信作者，博士，教授，博士生导师，主要研究方向：风电场微观选址和空气动力学。E-mail：zhuifengxu@163.com
  韩星星（1990—），男，博士研究生，主要研究方向：风电场空气动力学。E-mail：hantone@hhu.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(U186510009);江苏省国际科技合作项目(BZ2018007);江苏省青年基金资助项目(BK20180505)
- DOI：10.7500/AEPS20191024006
  中图分类号：
- 收稿日期：2019-10-24，
  
  修回日期：2020-02-11，
  
  网络出版日期：2020-04-22，
  
  纸质出版日期：2020-08-10
- 稿件说明：
移动端阅览
王洁,许昌,韩星星等.基于风力机尾流排斥的平坦地形风电场微观选址优化[J].电力系统自动化,2020,44(15):62-69.

WANG Jie,XU Chang,HAN Xingxing,et al.Micro-siting Optimization of Wind Farm in Flat Terrain Based on Wind Turbine Wake Repellency[J].Automation of Electric Power Systems,2020,44(15):62-69.
王洁,许昌,韩星星等.基于风力机尾流排斥的平坦地形风电场微观选址优化[J].电力系统自动化,2020,44(15):62-69. DOI： 10.7500/AEPS20191024006.

WANG Jie,XU Chang,HAN Xingxing,et al.Micro-siting Optimization of Wind Farm in Flat Terrain Based on Wind Turbine Wake Repellency[J].Automation of Electric Power Systems,2020,44(15):62-69. DOI： 10.7500/AEPS20191024006.

摘要

平坦地形风电场微观选址的优化研究中，常采用带有随机量的元启发式算法，这些算法难以达到全局最优，优化效率较低，且通常需要通过划分网格、增加约束才能得到稳定解。针对这些问题，文中提出了一种专门针对平坦地形风电场微观选址的高效且有稳定优化解的元启发式算法——风力机尾流排斥优化算法。参考范德华力原理，提出了风力机尾流排斥力的概念，用于描述风力机在尾流作用下的相互影响：2台风力机之间尾流作用越大，风力机尾流排斥力也越大。在算法优化过程中，风力机会在风力机尾流排斥力的作用下向使尾流减小的方向不断移动，直到达到最优解。仿真结果表明：风力机尾流排斥优化算法不需要网格约束，优化效率高，能得到确定的优质解，且优化结果符合实际工程要求。

Abstract

For micro-siting optimization of wind farms in the flat terrain

the meta-heuristic algorithms with random quantities are frequently used. These algorithms are hard to achieve a global optimization

and are relatively inefficient. Grids and constraints are usually needed to make a stable solution. To address these problems

this paper proposes an efficient meta-heuristic algorithm with stable optimization solution for the micro-siting of wind farms in the flat terrain

i.e.

wind turbine wake repellency optimization algorithm. According to the principle of van der Waals force

the concept of wind turbine wake repulsive force is proposed

which is used to describe the mutual influence between wind turbines with wake effects. The greater the wake effect between two wind turbines

the greater the wind turbine repulsive force. During the process of optimization

the wind turbine will continuously move in the direction to reduce the wake under the action of the wind turbine wake repulsive force until the optimal solution is obtained. Simulation results show that the wind turbine wake repellency optimization algorithm does not need grid constraints

has a high optimization efficiency

and can obtain a certain optimal result

while the optimization results meet the actual engineering requirements.

关键词

Keywords

references

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