中山大学学报自然科学版 ›› 2011, Vol. 50 ›› Issue (1): 39-43.

• 研究论文 • 上一篇    下一篇

基于GBMMAS算法的“风-光”互补系统容量优化研究

谢 磊1,王 飞2,余世杰2,陈晓高1
  

  1. (1.中山大学数学与计算科学学院,广东 广州 510275;2.中山大学物理与工程技术学院,广东 广州 510275)
  • 收稿日期:2010-03-14 修回日期:1900-01-01 出版日期:2011-01-25 发布日期:2011-01-25
  • 通讯作者: 王飞

The Research on Capacity Optimization of “WindPhotovoltaic” Hybrid Power System Based on GBMMAS Algorithm

XIE Lei 1, WANG Fei 2, YU Shijie 2, CHEN Xiaogao 1
  

  1. (1.School of Mathematics and Computational Science,Sun Yatsen University,Guangzhou 510275,China;〖JP〗2.School of Physics and Engineering, Sun Yatsen University, Guangzhou 510275, China)
  • Received:2010-03-14 Revised:1900-01-01 Online:2011-01-25 Published:2011-01-25

摘要: 在保证“风-光”互补系统供电可靠性的前提下,对系统各组件的容量大小进行优化。提出一种基于有向图思想的“最大-最小”蚂蚁系统算法,在满足一定负载失电率(LPSP)的前提下,对系统能量均摊成本(LCE)进行优化,从而得出对应于最小LCE的系统各组件的容量大小。仿真及运算结果表明,该优化算法运算效率很高,得出的优化结果是合理可行的。

关键词: “风-光”互补系统, 基于有向图的“最大-最小”蚂蚁系统, 负载失电率, 能量均摊成本

Abstract:

The research focus on the optimization of components capacity of “WindPhotovoltaic” hybrid system under the premise of reliable power supply. A Graphbased “MaxMin” Ant System algorithm (GBMMAS) has been proposed to optimize levelized cost of energy (LCE) of system under the premise of certain loss power supply probability (LPSP), and finally figured out system components capacity corresponding to minimized LCE. The simulation and operation results show that the optimization algorithm proposed is effective, the optimization results is reasonable and feasible.

Key words: “WindPhotovoltaic” hybrid system, GBMMAS, loss power supply probability, levelized cost of energy

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