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Bionic optimization for micro-siting of wind farm on complex terrain

机译:复杂地形上风电场微选址的仿生优化

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摘要

The bionic method to optimize the turbine layout of wind farm on complex terrain is developed. By employing the virtual particle model for wake flow simulation, the bionic method runs based on the flow field calculated by numerical simulations of air flow. It simulates the evolution of a turbine layout by performing the locating and relocating processes of the turbines. Optimized layouts for four different cases are obtained with the target of maximizing the total power output. The outcomes are compared with the layouts optimized by genetic algorithm with the linear wake flow model. The analysis results demonstrate that the bionic method produces solutions with higher power output than the previous approaches for all the studied situations. The present method is tested for different densities of area discretization. The result indicates that the bionic method can be applied with high resolution at very low time cost.
机译:提出了在复杂地形上优化风电场涡轮布局的仿生方法。通过将虚拟粒子模型用于尾流模拟,仿生方法基于气流数值模拟计算出的流场运行。它通过执行涡轮的定位和重新定位过程来模拟涡轮布局的演变。获得了针对四种不同情况的优化布局,其目标是使总功率输出最大化。将结果与采用线性尾流模型的遗传算法优化的布局进行比较。分析结果表明,对于所有研究情况,仿生方法产生的功率输出均高于以前的方法。针对不同密度的区域离散化测试了本方法。结果表明仿生方法可以以非常低的时间成本高分辨率地应用。

著录项

  • 来源
    《Renewable energy》 |2013年第2期|551-557|共7页
  • 作者单位

    Key laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, PR China;

    Key laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, PR China;

    Key laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, PR China;

    Key laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wind power; micro-siting; wake flow; bionic optimization;

    机译:风力;微选址尾流仿生优化;

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