Optimizing Solar Microgrid Performance Using Adaptive Energy Management in Semi-Urban Communities

This journal-style empirical article presents a clearly labeled simulated study in Electrical Engineering / Renewable Energy. A simulated 30-day operational dataset representing a 120 kW photovoltaic microgrid with a 240 kWh battery and 48 connected households. A rule-based baseline controller was compared with an adaptive energy-management controller using hourly simulated demand, solar generation, battery state-of- charge, and tariff signals. The analysis evaluated grid import, renewable-energy utilization, peak demand, battery cycling, and estimated operating cost. The simulated results indicate meaningful differences between the comparison conditions, with the focal intervention or analytical configuration producing improvements in the main outcome indicators. The findings are illustrative rather than evidence from real participants, institutions, farms, firms, field sites, or operating infrastructure. They are intended to demonstrate a plausible empirical design and reporting structure suitable for subsequent validation with real-world data. The study also identifies implementation constraints, measurement limitations, and directions for future empirical verification.