Affiliations: [a] School of Artificial Intelligence, Hebei University of Technology, Tianjin, China
| [b] School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China
Correspondence:
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Corresponding author. Hexu Sun, School of Artificial Intelligence, Hebei University of Technology, Tianjin, 300130, China. E-mail: sun_prof@163.com.
Abstract: Solar energy is a kind of pollution-free and inexhaustible energy. Photovoltaic power generation is an effective way to use solar energy. The output characteristics of photovoltaic cell are easily affected by illumination intensity, temperature and other factors, so the maximum power point tracking of photovoltaic power generation can effectively improve the power of the system. Firstly, a photovoltaic cell model is established to analyze the non-linear electrical characteristics under different solar intensity and working temperature. Secondly, the MPPT control strategies based on perturbance observation method and conductance increment-fuzzy control method are respectively studied, and the system simulation model including photovoltaic module, boost circuit, MPPT control module, PWM module and so on is built in MATLAB/Simulink. Finally, the operation effects of different MPPT control strategies are analyzed and compared by means of experiments in different scenarios. The conductance increment-fuzzy control method improves the power generation efficiency, reduces the system oscillation and enhances the working stability.
Keywords: Photovoltaic cell, perturbance and observation, conductance increment, fuzzy control, maximum power point tracking, MATLAB/Simulink
