Design and Implementation of P&O MPPT algorithm for Solar PV System

The aim of this project explores the design and implementation of perturb and observe (P&O) Maximum Power Point Tracking (MPPT) method to optimize energy harvesting from solar photovoltaic (PV) systems. Our main aim was to design a system which can extract maximum power point (MPP) and maximum power point tracker (MPPT). By dynamically adjusting the operating point of the PV system, the P&O algorithm ensures maximum power output despite changes in environmental conditions such as sunlight intensity and temperature. The project involves developing and implementing the MPPT P&O algorithm, by the help of DC/DC Boost Converter using a MATLAB/SIMULINK. The results demonstrate the effectiveness of the P&O method in improving the efficiency and reliability of solar PV systems. Solar panels can lower utility bills and produce clean, environmentally friendly energy. The efficiency of photovoltaic solar panels is related to the quality of their photovoltaic (PV) cells. The conversion efficiency of a PV cell is the percentage of solar energy shining on a solar panel that is converted into usable electricity. The efficiency of solar panels has improved dramatically in recent years, from an average of around 15% conversion of sunlight to usable energy to around 20%. High-efficiency solar panels can reach nearly 23%. The power rating of a standard-sized panel has likewise increased from 250W to 370W.