.png){kind=icon}
返回
Wind Farm Layout Optimization Based on Dynamic Opposite Learning-Enhanced Sparrow Search Algorithm
.png){kind=icon}
OA
AI
DOI：10.1155/2024/4322211.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In recent years, the proportion of wind power in new energy generation has gradually increased. The natural wind in wind farms is subject to velocity attenuation by the wake effect, so improving the efficiency of wind farm power generation has become a problem that must be solved for wind power generation. Considering the uncertainty of wind farms, we regard wind farm layout optimization (WFLO) as a strongly nonlinear problem. In this paper, we improve the sparrow search algorithm (SSA) using dynamic opposite learning (DOL) strategy. Twenty-eight benchmark test results prove that compared with other algorithms, the improved algorithm DOLSSA has excellent robustness and the ability of searching for a better solution when solving a strongly nonlinear optimization problem, and the DOL strategy effectively improves the shortcomings of the original algorithm which is prone to local optimization and space limitation. In this paper, the authors establish the dynamic rotational coordinates of wind farms and set six different physical scenarios by considering the wind direction and wind speed variables, and the results prove that the performance of DOLSSA is optimal.
Keyword:
GLOBAL OPTIMIZATION
SWARM
期刊
IF:
4.2
论文数:
8.8K
被引数:
2.7W
机构
引用论文
Information searching strategies in web-based science learning: the role of internet self-efficacy
PREAI
分享收藏High spatial granularity residential heating load forecast based on Dendrite net model.png)
ENERGY
ENERGYIF9.4
PREAI
分享收藏A step forward on sustainability: The nexus of environmental responsibility, green technology, clean energy and green finance可持续发展的一步: 环境责任，绿色技术，清洁能源和绿色金融的关系ENERGY ECONOMICS
ENERGY ECONOMICSIF14.2
PREAI
分享收藏An adaptive replacement strategy-incorporated particle swarm optimizer for wind farmlayout optimization结合自适应替换策略的粒子群优化算法在风电场布局优化中的应用
OAAI
OAAI分享收藏
查看更多内容