With ever-increasing demand, solar energy has emerged as one of the most significant renewable energy sources; consequently, operating photovoltaic panels to maximize efficiency is vital. However, solar panels have difficulties, such as the Partial Shading Condition, which has a substantial influence on the efficiency of the PV system. MPPT plays a critical role in improving the power of PV systems. PV trajectories will be diverse and exceedingly complicated due to the numerous peaks accessible during PSC. Traditional MPPT approaches will fail to achieve the Global Maximum Power Point and instead will linger at the Local Maximum Peak Point, decreasing the PV module's efficiency and performance. The Particle Swarm Optimization technique is used in this work to determine the GM PP by measuring peak power. In terms of Maximum Power Point, this approach offers a high degree of reliability, robustness, and proficiency. MATLAB/Simulink is used to verify the suggested approach.
Photovoltaic, Maximum Power Point MPP, Maximum Power Point Tracking MPPT, Global PowerPoint GMP, Particle Swarm Optimization (PSO), DC-DC Boost Converter, and Local Maximum Power Point are some of the terms used to describe partial shading conditions
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