Sizing of a stand-alone Photovoltaic/Wind Energy System with Hydrogen and Battery Storage based on Improved Ant Colony Algorithm

被引：0
|
作者：
Dong, Weiqiang [1 ,2 ]
Li, Yanjun [1 ]
Xiang, Ji [3 ]
机构：
[1] Zhejiang Univ City Coll, Sch Informat & Elect Engn, Hangzhou 310015, Zhejiang, Peoples R China
[2] Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Peoples R China
[3] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
hybrid system; hydrogen storage subsystem; improved ant colony optimization (ACO); system cost; loss of power supply probability (LPSP); OPTIMIZATION; WIND;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an improved ant colony optimization (ACO) algorithm for sizing a stand-alone hybrid photovoltaic (PV)/wind turbine (WT)/battery/hydrogen system. The hydrogen subsystem consisting of fuel cell (FC), electrolyzer and hydrogen tank, stores or supplies energy like battery. In this paper, the model of the hybrid system components and the system operation strategy are introduced, two objectives that take minimum system cost and maximal system reliability described as loss of power supply probability (LPSP) have been designed and an improved ACO algorithm with an extra step sorting temporary results in each iteration has been proposed for the solution of optimal sizing problem. Finally, a simulation experiment has been done to demonstrate the validity of the improved ACO with the data from an island of Zhejiang, China.
引用
收藏
页码：4461 / 4466
页数：6
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