Kumar, Mayank2026-10-062026-10-062022http://nits.ndl.gov.in/handle/123456789/137Green and sustainable energy sources are becoming more popular as natural and unconventional fossil-fuel energy supplies become depleted. They're mostly utilized to supplement already accessible energy sources. Solar photovoltaic (PV) energy has been widely employed in several applications due to its benefits as a direct electric power source, low maintenance, and zero noise. Because PV power generation systems are required for both industrial and domestic applications, optimizing power generation. The usage of renewable energy sources such as photovoltaic systems, wind, ocean-thermal, and others arose in response to the non-renewable energy dilemma and environmental damage. This thesis describe the comparative analysis of maximum power point tracking for photovoltaic array (PV) using fuzzy logic control and hybrid fuzzy PSO control, and also make the boosted voltage constant using PI controller with the help of bi-directional converter. The battery is used to supply the sufficient power to load side and different irradiation. In case of hybrid fuzzy PSO algorithm, whenever the change in power is greater than the limit it is tracked by Fuzzy logic controller otherwise it is track by PSO. While the boosted output voltage is maintained constant using a proportional-integral (PI) controller. The designed model also has a bidirectional converter and battery, which helps in achieving constant output voltage. In case of fuzzy logic controller the efficiency for tracking the maximum power is 96.23%, while in case of hybrid fuzzy PSO the efficiency is 98.64% and using this method it also improves the oscillation and reduced the time required to track the maximum power. The system consist of four major components, i.e. PV array, DC-DC Boost converter, Bi-directional converter and controller. The structure is modeled and analyzed in a MATLAB Simulink environment. The results are verified in a real-time simulation environment using OPAL-RT.enThesis