Abstract: Fossil fuel reserves draining at an alarming rate, and rising day by day environment-related problems made the world find green energy reserves. One among such a type of solution has been in view of abundant availability, stability of the solar power by which photovoltaic system was decreased in terms of cost. This paper describes the development of a solar energy management system using a Single-Ended Primary Inductor Converter - based DC-DC converter and a three - phase Inverter for grid - interfacing application. The ANN-based regulation will enable dynamic regulation of the real and reactive power course across the system to facilitate efficient energy transfer and maintain stability of the grid. Furthermore, the performance of the system can be validated from simulation studies about its capability toward efficiency, power factor correction and adaptability to change in solar intensity and grid.

Keywords: Solar Power Energy Management, SEPIC Converter, Three - Phase Inverter, Artificial Neural Network(ANN),Grid Stability

| DOI: 10.17148/IARJSET.2025.12315