Simulation-Based Performance Comparison of Perturb and Observe and Particle Swarm Optimization MPPT Algorithms for Photovoltaic Systems

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

Abstract: In this paper, a comparative study is conducted between two MPPT methods: Perturb and Observe (P&O) and Particle Swarm Optimization (PSO) algorithms for photovoltaic (PV) solar energy harvesting. MATLAB/Simulink was used to develop PV models of 50W cells to simulate the P&O algorithm at uniform irradiance and PSO under partial shading and varying irradiance levels. Results demonstrate that although P&O performs well at uniform irradiance (~88% efficiency), it fails to track the global maximum power point (MPP) under partial shading. PSO, on the other hand, successfully determines the global MPP under partial shading conditions, achieving ~95% tracking efficiency.

Keywords: Perturb and Observe, Particle Swarm Optimization, Partial Shading Conditions

How to Cite?: V. Anantha Lakshmi, Y. Rama Mohan, G. Sateesh, "Simulation-Based Performance Comparison of Perturb and Observe and Particle Swarm Optimization MPPT Algorithms for Photovoltaic Systems", Volume 15 Issue 8, August 2026, International Journal of Science and Research (IJSR), Pages: 262-265, https://www.ijsr.net/getabstract.php?paperid=SR26804213403, DOI: https://dx.doi.org/10.21275/SR26804213403

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