Study on MPPT Algorithm Based on an Efficient Hybrid Conjugate Gradient Method in a Photovoltaic System

被引:3
|
作者
Jinpeng, Wang [1 ]
Qinxue, Yao [1 ]
Bo, Zhang [1 ]
Jeremy-Gillbanks [2 ]
Xin, Zhao [1 ]
机构
[1] Dalian Polytech Univ, Sch Informat Sci & Engn, Dalian 116039, Liaoning, Peoples R China
[2] Univ Western Australia, Sch Elect Elect & Comp Engn, 6009 AP, Perth, WA, Australia
基金
中国国家自然科学基金;
关键词
Photovoltaic cells; Mathematical models; Photovoltaic systems; Heuristic algorithms; Maximum power point trackers; Integrated circuit modeling; Temperature measurement; MPPT; conjugate gradien; photovoltaic system; IMAGE ENCRYPTION; CONSTELLATION DESIGN;
D O I
10.1109/ACCESS.2022.3233826
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An MPPT (Maximum Power Point Tracking) plays a vital role in a photovoltaic(PV) power generation system. Applying the optimum MPPT is a significant way to achieve an efficient PV system. The MPPT methods' efficiency counts on the two MPPT factors, including the perturbation period and the perturbation amplitude. Nevertheless, realizing MPPT in the photovoltaic array is very hard when the natural conditions change, especially for the temperature and light intensity. This paper proposed a new method based on Conjugate Gradient (CG) to address the problem of hard reasonable considering both dynamic and steady-state performance in some existing MPPT algorithms. Meanwhile, the presented algorithm can effectively adjust the output of PV cells by controlling the boost DC/DC converter. Finally, the experimental and simulation results show the system can quickly get the maximum power point and have performance.
引用
收藏
页码:4219 / 4227
页数:9
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