A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions

This article presents a comparative analysis of the latest swarm-based optimization approaches under partial shading conditions (PSCs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems. The MPPT algorithms are stochastic meta-heuristic that have become very popular recently various applications owing to drawbacks conventional different operating conditions. A comprehensive review recent research on these is carried out particularly focusing PSCs. advantages, disadvantages, applications, computational efficiency, and stability critically surveyed detail. Moreover, analyze performance algorithms, special case study conducted MATLAB/Simulink environment solar-powered DC load with boost converter. seven techniques evaluated this terms their settling time, convergence speed, overshoot, efficiency levels statistical 30 simulation runs shows heavier conditions, grasshopper algorithm (GOA) salp swarm (SSA) outperform other algorithms. It envisaged work will be one-stop source guidance researchers working field MPP