MPPT control strategy for photovoltaic cells based on fuzzy control

被引：0

作者：

Zhang Hong ^{[1
]}

Li Shengzhu ^{[2
]}

Zhang Xiaonan ^{[3
]}

Xia Yilan ^{[1
]}

机构：

[1] Changchun Inst Technol, Sch Elect Engn & Informat, Changchun, Peoples R China

[2] Changchun Elect Supply Co, Dispatching Inst, Changchun, Peoples R China

[3] Jilin Univ, Hosp 1, Thyroid Gland, Changchun, Peoples R China

来源：

2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | 2016年

关键词：

photovoltaic cell; MPPT; fuzzy control; MATLAB;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

As output of photovoltaic batteries varies following the change to illumination, temperature and loads, it is necessary to do some researches on new control method of Maximum Power Point Tracking (MPPT) to guarantee high-efficiency output of photovoltaic batteries. In this document, a fuzzy control algorithm will be adopted to present steps to design fuzzy controllers. Simulation software MATLAB is utilized to establish simulation mockup for photovoltaic batteries, and executes the algorithm. Results of test indicate that simulation graphics can present good effects of static and dynamic tracking.

引用

页码：450 / 454

页数：5