Advancements in Grid-Connected Solar Photovoltaic Systems: Control and Optimization with Modified SEPIC-Luo Converter

Abstract

The growing global need for energy has spurred the widespread adoption of grid-connected Solar Photovoltaic (SPV) systems. These systems harness the advantages of photovoltaic power generation, such as environmental sustainability, low maintenance requirements and noise-free operation, positioning them as a prominent Renewable Energy Source (RES). This conceptual framework emphases on demonstrating and control design of a PV grid-tied system, integrating a Modified Single-Ended Primary Inductance (SEPIC) - Luo Converter. The central objectives of this work are to investigate the behavior of solar PV systems and to develop an efficient grid-connected solar power solution. To achieve these objectives, a Maximum Power Point Tracking (MPPT) circuit is designed, leveraging Red deer algorithm optimized Adaptive Neuro-Fuzzy Inference System (ANFIS). This innovative approach ensures the continuous optimization of power extraction from solar PV modules. The DC voltage generated by the PV system is subsequently directed to a Single-Phase Voltage Source Inverter (1ΦVSI) for conversion into AC voltage. The resulting AC voltage is then made available for various applications within the grid. Based on the simulation results, the algorithm efficiency is of 98.8% and the converter efficiency is found to be 98.92%. The MPPT efficiency is of 98.61%, which gives better optimization when compared to that of other algorithms. This framework encapsulates the advancements in SPV systems, offering a sustainable energy solution that aligns with the growing demand for clean and efficient power generation.