Abstract— The rapid expansion of renewable energy systems has positioned grid-connected photovoltaic generation systems at the forefront of sustainable electricity production. Despite their potential, these systems face technical challenges such as efficient power extraction under varying atmospheric conditions and reliable synchronization with the utility grid during disturbances. This research presents a comprehensive performance analysis of a two-stage three-phase GPV system incorporating a Cuckoo Search-based Maximum Power Point Tracking algorithm, a DC-DC boost converter, a Space Vector Pulse Width Modulation, LCL filters, and a CDSC grid synchronization mechanism. The switching sequence generated by Space Vector Pulse Width Modulation minimizes harmonic distortion, maximizes voltage utilization, and improves synchronization with the utility grid, resulting in better overall system performance. The proposed architecture has achieved a maximum power transfer of 108.3kW, MPPT tracking efficiency of 96.15%, and generates low total harmonic distortions of 2.06%. The outcomes demonstrate that the proposed system performs efficiently, produces high-quality power, and integrates well with the grid even during disturbances, making it both economically and technically viable for large-scale as well as industrial use.