Analysis and Implementation of Fuzzy Logic Controller Based MPPT to Enhance Power Quality in PV System

Maximum power point trackers are so important in photovoltaic systems to increase their efficiency. Many methods have been proposed to achieve the maximum power that the PV modules are capable of producing under different weather conditions. The output power induced in the photovoltaic modules depends on solar radiation and temperature of the solar cells. Therefore, to maximize the efficiency of the renewable energy system, it is necessary to track the maximum power point of the PV array. This paper proposes a new method of maximum power point tracking using fuzzy logic for photovoltaic system. It uses a sampling measure of the PV array power and voltage then determines an optimal increment required to have the optimal operating voltage which permits maximum power tracking. This method carries high accuracy around the optimum point when compared to the conventional perturbation and observation algorithm then it assures fast and fine tracking. The system is composed a solar panel, a Boost converter and Fuzzy Logic Controller FIS . The simulation results show that the proposed maximum power tracker could track the maximum power accurately and successfully in all condition tested. Akash Kumar Gupta | Manish Prajapati "Analysis and Implementation of Fuzzy Logic Controller Based MPPT to Enhance Power Quality in PV System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50541.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/50541/analysis-and-implementation-of-fuzzy-logic-controller-based-mppt-to-enhance-power-quality-in-pv-system/akash-kumar-gupta