Hybrid Fuzzy -PSO based PV MPPT Algorithm

MATLAB script for Hybrid Fuzzy Particle Swarm Optimization (PSO) MPPT involves combining the concepts of Fuzzy Logic and PSO to optimize the

The provided MATLAB script demonstrates the implementation of a Hybrid Fuzzy Particle Swarm Optimization (PSO) MPPT algorithm for a Solar PV System. This hybrid approach combines the optimization capabilities of PSO with the adaptability of fuzzy logic to enhance the search for the maximum power point.

The script initializes a group of particles representing voltage and current combinations. It iteratively updates their positions using the PSO algorithm, aiming to converge toward the optimal voltage and current values that maximize power output from the PV system.

The fitness function evaluates power output based on voltage and current values. The algorithm dynamically adjusts particle velocities using PSO equations and incorporates both cognitive and social components to guide their movement.

The hybrid aspect involves incorporating fuzzy logic concepts to fine-tune the optimization process, enhancing the algorithm's adaptability. The final achieved voltage and current combination represents the optimal solution for MPPT in the Solar PV System.

This hybrid approach can potentially improve the convergence speed and accuracy of the MPPT process by integrating both PSO's global search capabilities and fuzzy logic's adaptiveness.

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