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Grid Connected Photovoltaic Power System Tracing and Evaluation based on Maximum Power Point Tracking (MPPT) Algorithms

Oct 2026 · Shendi University Journal of Applied Science · 0 citations

Abstract

Solar power Photovoltaic systems are considered a promising source of renewable energy; however, their efficiency is affected by varying environmental conditions such as solar irradiance and temperature. This study aims to compare the performance of two commonly used Maximum Power Point Tracking (MPPT) algorithms Perturb and Observe (P&O) and Incremental Conductance (In C), using a co-simulation platform between PSIM and MATLAB/Simulink. A complete photovoltaic system was designed, consisting of a solar panel, a DC-DC boost converter, and a battery load. The results showed that the Incremental Conductance algorithm outperformed in terms of accuracy increased by 3.5%, response speed, and steady-state stability, while the P&O algorithm excelled in simplicity and low computational cost. Keywords: Photovoltaic system, Maximum Power Point Tracking (MPPT), Perturb and Observe (P&O), Incremental Conductance, Power SIMulator (PSIM), MATRrix LABoratory (MATLAB), Co-simulation.

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