Adaptive MPPT Control of Solar PV System using Incremental Conductance Algorithm

This research successfully developed and simulated an Adaptive Maximum Power Point Tracking (MPPT) controller for a solar photovoltaic system using the Incremental Conductance algorithm in the MATLAB/Simulink environment. The proposed model integrated the photovoltaic array, DC–DC boost converter, MPPT controller, and measurement blocks into a complete simulation platform for evaluating system performance. The Adaptive Incremental Conductance controller continuously monitored the photovoltaic voltage and current and effectively adjusted the converter operating point to extract the maximum available power under varying solar irradiance conditions. Compared with the conventional Incremental Conductance algorithm, the proposed approach provided faster convergence toward the Maximum Power Point, reduced steady-state oscillations, and improved power extraction efficiency. The simulation results demonstrated that the proposed system maintained a stable DC bus voltage while achieving higher photovoltaic output power and improved overall system performance under dynamic environmental conditions. The MATLAB/Simulink implementation confirmed the effectiveness of the Adaptive Incremental Conductance algorithm in enhancing the efficiency and reliability of photovoltaic energy conversion.

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