东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (12): 1698-1701.DOI: -

• 论著 • 上一篇    下一篇

太阳能光伏系统中的低压电网拓扑结构优化

关守平;郝立颖;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-12-15 发布日期:2013-06-22
  • 通讯作者: Guan, S.-P.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60574050);;

Optimization of topology of low-voltage network in solar photovoltaic stations

Guan, Shou-Ping (1); Hao, Li-Ying (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-12-15 Published:2013-06-22
  • Contact: Guan, S.-P.
  • About author:-
  • Supported by:
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摘要： 优化低压电网拓扑结构,有效利用电能是太阳能光伏供电系统研究中的重要课题.首先将太阳能光伏电站的供电范围用K-means聚类算法分成若干个较小区域,然后在每个区域内用改进的最小生成树算法进行网络拓扑结构优化,从而完成了对整个太阳能光伏供电网络的整体优化.仿真结果表明,优化后的低压供电网络有效降低了供电线损,提高了光伏系统电能的利用率.

关键词: 光伏发电站, 线损, K-means聚类算法, 最小生成树, 拓扑结构优化

Abstract: To optimize the topology of low-voltage network so as to take advantage of electric power efficiently is of importance to the research on solar photovoltaic power systems. An approach is therefore presented that the power supply zone of a solar photovoltaic power station should be divided into several subzones by the K-means clustering algorithm, then the topology of network is optimized with the improved minimum spanning tree algorithm in every subzone. Simulation results showed that the line loss of low-voltage network decreases, which thus improved greatly the utilization of electric power.

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