The PV MPPT control strategy based on generalized predictive control

被引：0

作者：

Fuyin, Ni ^{[1
,2
]}

Zhengming, Li ^{[1
]}

Shen, Lin ^{[2
]}

机构：

[1] School of Electrical and Information Engineering, Jiangsu University, Jiangsu Zhengjiang

[2] School of Electrical and Information Engineering, Jiangsu University of Technology, Jiangsu Changzhou

来源：

Open Fuels and Energy Science Journal | 2015年 / 8卷

基金：

中国国家自然科学基金;

关键词：

Boost circuit; Generalized predictive control; MPPT; Photovoltaic cell; PID;

D O I：

10.2174/1876973X01508010244

中图分类号：

学科分类号：

摘要：

The excursion of maximum power point always exists due to nonlinear and time-varying characteristics of photovoltaic (PV) generation. To solve this problem, the maximum power point tracking (MPPT) control strategy based on generalized predictive control (GPC) is put forward. Firstly, the theory and feature of PV cell is analyzed, and the MPPT control model is constituted based on Boost circuit. Then the MPPT algorithm based on GPC is illustrated from such sections as prediction model, rolling optimization, online identification and feedback correction, the algorithm steps are given as well. Besides, the MPPT simulations are conducted by the methods based on GPC and PID in comparison. The comparison results testify that GPC algorithm is faster and more accurate to track the maximum power point. GPC algorithm has the characteristics like stability and robustness, and can be applied to solar generation system. © Fuyin et al.; Licensee Bentham Open.

引用

页码：244 / 251

页数：7

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