期刊文献+

基于粒子群算法的风电场集电系统优化设计 被引量:7

Optimal design of power collection system for wind farm based on PSO algorithm
下载PDF
导出
摘要 大型风电场的集电系统拓扑结构和配置,关系着整个风电场的安全和可靠运行,其建设成本是大型风电场投资成本的重要组成部分。文章总结了集电系统拓扑设计的三个主要依据,构建了可靠性和经济性评估模型,提出了考虑工程实际约束条件下采用K-means聚类和粒子群算法实现集电系统的优化设计方案,最后将所提方法模拟应用于某一海上风电场集电系统设计中,通过可靠性与经济性评估结果,证明了所提方法的有效性。 The topology structure and configuration of the collector system determine the security and reliability of thewind farm, with its cost occupies a significant proportion of the total cost. Firstly, three kinds of main basis for thecollector system topology design have been summarized, and the reliability and cost models have been respectively de-veloped. Secondly, the optimal design scheme based on K-means clustering algorithm and PS0 algorithm has beenproposed considering realistic engineering constraints. Finally, the simulation of the proposed method with a large off-shore wind farm is given to show the effectiveness through the evolution results of reliability and cost.
作者 杨之俊
出处 《电测与仪表》 北大核心 2016年第19期113-118,共6页 Electrical Measurement & Instrumentation
基金 合肥工业大学科学研究发展基金(2013HGXJ0464)
关键词 风电场 集电系统 可靠性 K-mean聚类 粒子群算法 wind farm, collector system, reliability, K-means clustering, PSO algorithm
  • 相关文献

参考文献11

二级参考文献192

共引文献201

同被引文献68

引证文献7

二级引证文献57

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部