Simulation of the Particle Swarm Optimization MPPT Algorithm for Photovoltaic Systems Using a SEPIC Converter

V. Anantha Lakshmi, Y. Rama Mohan, G. Sateesh

Abstract: In this paper, Particle Swarm Optimization (PSO) algorithm for photovoltaic (PV) solar energy harvesting using MATLAB/ Simulink was developed. PV models of 50W cells are used to simulate the PSO under partial shading and varying irradiance levels. Results demonstrate that PSO successfully determines the global MPP under partial shading conditions, achieving ~95% tracking efficiency.

Keywords: Particle Swarm Optimization, Partial Shading Conditions

How to Cite?: V. Anantha Lakshmi, Y. Rama Mohan, G. Sateesh, "Simulation of the Particle Swarm Optimization MPPT Algorithm for Photovoltaic Systems Using a SEPIC Converter", Volume 15 Issue 8, August 2026, International Journal of Science and Research (IJSR), Pages: 266-268, https://www.ijsr.net/getabstract.php?paperid=SR26804210528, DOI: https://dx.doi.org/10.21275/SR26804210528

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