Comparison of MPPT Optimization Methods for P&O and PSO Solar Panels to Overcome Partial Shading
Abstract
Solar panels in enclosed areas are prone to
suboptimal absorption of sunlight due to unstable sunshine. Two
methods to optimize solar panel efficiency are available: dynamic
and static. The dynamic method involves moving the panels
towards the sun to maximize solar irradiation, while the static
method uses a power converter to find the maximum power point.
This research evaluates the performance of the MPPT system,
which uses the P&O method with PSO, on solar panels. The
objective is to determine the most appropriate MPPT algorithm to
optimize the efficiency of solar panels. The MPPT system's
efficiency is tested under partial shading conditions of 100 w/m2,
300 w/m2, and 500 w/m2. The system's output is evaluated based
on the highest efficiency parameter value. The efficiency of the
P&O and PSO methods is compared, and the most optimal
efficiency is determined. The MPPT system is designed to measure
parameters that are demonstrated qualitatively.
Keywords—MPPT, Observe and observe, Particle swarm
Optimization, Simulink matlab, Solar panels
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