Novel Adjustable Isolated Converter for Enhanced Photovoltaic System Performance

This study introduces a novel adjustable isolated (AI) converter with a smart control strategy, ideal for energy systems with fluctuating voltages and as a stable voltage source for battery systems and microgrids. It incorporates a hill-climbing (HC) maximum power point tracking (MPPT) algorithm to optimize performance and maintain a consistent output voltage. Tested using MATLAB, the AI converter outperforms traditional SEPIC converters in terms of efficiency and stability, particularly in how it manages the duty cycle of power MOSFETs. This advancement could significantly enhance the efficiency, cost-effectiveness, and compactness of renewable energy systems.