Sustainable Grid Integration of PV Systems using Dual-Phase Boost Converter and Intelligent MPPT Techniques

The increasing demand for energy and environmental concerns necessitate the integration of Renewable Energy Sources (RES), particularly Photovoltaic (PV) systems, into modern power grids. This paper presents an efficient grid connected PV system utilizing a dual-phase Interleaved Boost Converter (IBC) and an intelligent Maximum Power Point Tracking (MPPT) approach based on Adaptive Neuro Fuzzy Inference System (ANFIS). To enhance the controller's performance, optimization algorithms Class Topper Optimization (CTO), Falcon Optimization Algorithm (FOA), and Pufferfish Optimization Algorithm (POA) are employed. The dual phase IBC ensures reduced ripple, improved voltage gain, and stable power conversion. Simulation results in MATLAB/Simulink demonstrate that the proposed system achieves 94% efficiency, 0.95% Total Harmonic Distortion (THD), and a maximum MPPT tracking efficiency of 97.05% using the POA-ANFIS controller.