基于粒子群算法的风电场集电系统优化设计

杨之俊

杨之俊.基于粒子群算法的风电场集电系统优化设计[J].电测与仪表,2016,53(19):.
YANG Zhijun.Optimal Design of Power Collection System for Wind Farm based onPSO Algorithm[J].Electrical Measurement & Instrumentation,2016,53(19):.

基于粒子群算法的风电场集电系统优化设计

Optimal Design of Power Collection System for Wind Farm based onPSO Algorithm

DOI：

中文关键词: 风电场集电系统可靠性 K-mean聚类粒子群算法

英文关键词:wind farm collector system reliability K-means clustering PSO algorithm

基金项目:合肥工业大学科学研究发展基金（项目号：2013HGXJ0464）

作者中文名	作者英文名	单位
杨之俊	YANG Zhijun	合肥工业大学建筑设计研究院安徽合肥 230009

摘要点击次数: 1950

中文摘要:

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。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。最后将所提方法用于某一海上风电场集电系统设计中,可靠性与经济性评估结果表明所提方法的有效性。

英文摘要:

The topology and configuration of collector system is relative with security and reliability of wind farm, and the capital cost of the collector system constitutes a significant proportion of the total cost of the wind farm. Three main design basis of the collector system topology has been summarized, the reliability model and cost model has been respectively developed. The optimal design method based on K-means clustering and PSO algorithm has been proposed considering realistic engineering constrains. The test of the proposed method with a large offshore wind farm is given to show the effectiveness of the proposed method.

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