Physics of Solar Panels and Solar Panel Simulation with MATLAB Simulink

In this project, I investigated the underlying physics of solar panels and developed a comprehensive simulation using MATLAB Simulink. To control the system's duty cycle and maximize operational efficiency, I implemented a maximum peak power tracking (MPPT) algorithm using Perturb and Observe (P&O) method, which continuously adjusts the duty ratio to track the maximum power point under varying conditions. The simulation also modeled the impact of changing irradiance levels and temperature fluctuations on system performance, with results consistently matching theoretically predicted physical behaviors.

Furthermore, I conducted additional research and experiments to deeper explore solar panel performance optimization:

1. Increased solar panel surface area and quantity to enhance energy production capacity, implementing scalability analysis in the simulation environment;

2. Tested different photovoltaic materials (including monocrystalline silicon, polycrystalline silicon, and thin-film technologies) to identify more efficient alternatives through material property modeling;

3. Analyzed shading effects on solar panels and developed mitigation strategies using bypass diodes and module-level power electronics in the system design;

4. Investigated solar panel longevity and stability factors, incorporating degradation models to improve long-term reliability predictions;

5. Explored integration of solar panels with battery energy storage systems, implementing charge controllers and energy management algorithms for optimal power storage and distribution.

These additional investigations significantly expanded my understanding of solar panel technology and provided innovative approaches for enhancing and optimizing solar energy systems through computational modeling and practical implementation strategies.