Improving the Power Quality of Photovoltaic System with Fuzzy Controller

Today, due to the pollution of fossil fuels and the limitation of fossil energies, and the increase in demand, the need for alternative and clean energy is felt more than before. One of the sources of free energy supply in this regard is solar energy, which has received attention in the last few years. With the increasing use of photovoltaic systems, the needs based on technical issues and exploitation of this energy has increased. Since the electrical power supplied by solar systems depends on the insulation temperature and the amount of radiation. Solar cells have an optimal working point that is able to receive the maximum and improve the quality of the power that is needed to obtain the maximum power from the photovoltaic system. The system needs a tracking controller with maximum power. A fuzzy controller is used to control the maximum power of photovoltaic systems. Based on fuzzy sets and fuzzy algorithms, fuzzy theory prepares a general method of expressing language rules so that it is possible to process them quickly. In this research, a photovoltaic system based on fuzzy control has been designed and implemented to improve the quality of power from solar cells in the MATLAB software environment.