Evaluation of Grid-Connected Solar PV Systems: Design and Operational Analysis

AbstractMaximizing the power output of the solar PV system under changing environmental circumstances, such as partial shadowing, temperature fluctuations, and other variations, is the main goal of improving the tracking efficiency and resilience of the MPPT process. One of the most important ways to improve the efficiency of solar PV systems is to use the maximum power point tracking (MPPT) approach. This technique continually monitors the solar panels and pulls out the most power they can provide. In order to do this, the thesis begins by outlining the basics of photovoltaic (PV) systems, maximum power point tracking (MPPT) methods, and PSO algorithms. It takes a look at the problems with classic MPPT algorithms like Incremental Conductance (IncCond) and Perturb and Observe (P&O) and finds ways to fix them. This study's results improve the efficiency and dependability of solar PV systems, which helps to optimize renewable energy systems. We urge more research and experimental validations to evaluate the suggested controller in real-world settings and make it easier to integrate it into commercial PV systems. Through simulation tests conducted using MATLAB/Simulink, the suggested improved PSO controller is put into action and assessed.