Design of Small Photovoltaic Power Generation System Based on Maximum Power Point Tracking

被引：0
|
作者：
Cui, Yang [1 ]
Liu, Cheng [1 ]
Cheng, Yanming [1 ]
Niu, Jing [2 ]
机构：
[1] BeiHua Univ, Coll Elect & Informat Engn, Jilin 132012, Jilin, Peoples R China
[2] Jilin Chem Fiber Grp Co Ltd, Jilin 132021, Jilin, Peoples R China
来源：
INTELIGENCIA ARTIFICIAL-IBEROAMERICAL JOURNAL OF ARTIFICIAL INTELLIGENCE | 2020年 / 23卷 / 66期
关键词：
Photovoltaic power; Fuzzy variable step algorithm; Sun-seeking; MPPT; Inverter;
D O I：
10.4114/intartf.vol23iss66pp26-35
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
According to the nonlinear output characteristics of photovoltaic cells, combined with artificial intelligence algorithmthe the MPPT (Maximum Power Point Tracking) control algorithm based on fuzzy variable step size is proposed, which enables the system to quickly track the maximum power point and improve the energy conversion efficiency of photovoltaic system.This paper designs a small-scale photovoltaic power generation system. The main circuit of the system consists of Perovskite Solar Panels, DC voltage regulator circuit, storage battery and one-way full bridge inverter circuit. The control circuit consists of sun-seeking, inverter and maximum power tracking on constant voltage. Proteus simulation software is used to simulate the sun-seeking part, the inverting part, the general control unit, the keys and the display interface. The results indicate that the functions of the small-scale photovoltaic power generation system can be achieved very well.
引用
收藏
页码：26 / 35
页数：10
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