.png){kind=icon}
返回
Optimization of wind farm layout with modified genetic algorithm based on boolean code
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jweia.2018.07.019.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A modified genetic algorithm (GA) is developed based on the Boolean code to optimize the layout of turbines in the wind farm. With the proposed method, a 2 km x 2 km wind farm with flat terrain under three wind scenarios is planned to yield the lowest unit cost per power output. Comparing with the optimized results from previous studies, lower cost can be obtained from the proposed method. The proposed method also shows high convergence stability and efficiency regarding different dense grid configurations. The algorithm is therefore particularly suitable for siting of wind turbines in a highly dense grid. Besides, the proposed algorithm has been prepared with good adaptability and it can be adapted easily for solving optimization problems in different engineering studies.
Keyword:
Wind farm layout
Genetic algorithm
Boolean code
Highly dense grid
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.9
论文数:
5.1K
被引数:
2.2W
机构
引用论文
分享收藏Study on offshore wind power potential and wind farm optimization in Hong Kong.png)
APPLIED ENERGY
APPLIED ENERGYIF11
PREAI
分享收藏Comparative study on optimizing the wind farm layout using different design methods and cost models
OAAI
OAAI分享收藏Layout optimization for maximizing wind farm power production using sequential convex programmingAPPLIED ENERGY
APPLIED ENERGYIF11
PREAI
分享收藏Optimal placement of wind turbines in a wind park using Monte Carlo simulation使用蒙特卡洛模拟在风电场中优化风力涡轮机的位置RENEWABLE ENERGY
RENEWABLE ENERGYIF9.1
PREAI
分享收藏
A new constraint handling method for wind farm layout optimization with lands owned by different ownersRENEWABLE ENERGY
RENEWABLE ENERGYIF9.1
PREAI
分享收藏
查看更多内容