The Open Fuels & Energy Science Journal

2015, 8 : 244-251
Published online 2015 October 5. DOI: 10.2174/1876973X01508010244
Publisher ID: TOEFJ-8-244

The PV MPPT Control Strategy Based on Generalized Predictive Control

Ni Fuyin , Li Zhengming and Shen Lin
School of Electrical and Information Engineering, Jiangsu University, Jiangsu Zhengjiang, 212013, P.R. China.

ABSTRACT

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.

Keywords:

Boost circuit, generalized predictive control, MPPT, photovoltaic cell, PID.