基于粒子群算法的风电场集电系统优化设计

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 the wind farm, with its cost occupies a significant proportion of the total cost .Firstly, three kinds of main basis for the collector 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 PSO algorithm has been proposed 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 .