Abstract
Renewable energy, particularly solar power, is increasingly important as non-renewable sources decline, but its efficiency is often reduced by weather and shading. Implementing a Maximum Power Point Tracking (MPPT) system ensures that solar panels consistently operate at their optimal power output, even under partial shading conditions. This study presents a snake optimization (SO) method designed to increase the rate of convergence to the maximum power point under different partial shading conditions (PSCs). The results demonstrate that the proposed SO method performed exceptionally well, achieving an average tracking time of 0.875 seconds across different weather conditions and an efficiency of $98.82 \%$.