| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 399907 | International Journal of Electrical Power & Energy Systems | 2012 | 8 Pages |
This paper proposes an intelligent control method for the maximum power point tracking (MPPT) of a photovoltaic system under variable temperature and insolation conditions. This method uses a fuzzy logic controller applied to a DC–DC converter device. The different steps of the design of this controller are presented together with its simulation. The PV system that I chose to simulate to apply my techniques on it is stand-alone PV water pumping system. Results of this simulation are compared to those obtained by the system without MPPT. They show that the system with MPPT using fuzzy logic controller increase the efficiency of energy production from PV.
► I design and simulate PV water pumping system using MATLAB/SIMULINK. ► I design and simulate a MPPT controller using FLC in MATLAB/FUZZY TOOL BOX/SIMULINK. ► The results validate that MPPT can significantly increase the efficiency of energy production from PV. ► The performance of the PV water pumping system compared to the system without MPPT.
