Fuzzy Maximum Power Point Tracking (MPPT) controller for photovoltaic system on mini greenhouse

Abstract

Greenhouse is currently used is urban farming. Smart greenhouse technology allows farmers to monitor their plants easily. This system requires much electrical energy supply. In order to save energy, additional electricity supply is needed. For this reason, photovoltaic is installed on the roof of the greenhouse. The obstacle in the installation of photovoltaic cells is that the power produced is not optimal, due to the movement of the sun's position. For this reason, Maximum Power Point Tracking (MPPT) technology is used. In this paper, fuzzy logic was used for MPPT based on I and V from PV. The aim is to find the maximum operating point of a photovoltaic module so that it can increase the output power ratio of photovoltaic modules in varying temperatures and radiation levels. Simulation is done using MATLAB, so that a ratio of output power ratios is generated with and without using an MPPT. By using the fuzzy MPPT controller, it produces optimum power, at P PV max = 250 W, P out max = 160 W, P PV max = 174.8 W, P out max = 125 W, P PV max = 98.97 W, P out max = 75 W. This power will be used to supply electricity for 2 15 W lamps, 12 volts for the mini greenhouse.