Hybridized Energy Systems: Optimization Strategies for Sustainable Power Generation in Developing Regions

Abstract

Access to stable power remains a major challenge in areas with unreliable power grids and frequent outages. This study examines a hybrid power system integrating solar panels, batteries, and a generator, managed by an Arduino Mega microcontroller to optimize energy use. The system prioritizes solar energy because it is the primary supply, automatically switching to backups when necessary, ensuring an uninterrupted power supply. Real-time monitoring of voltage, temperature, and sunlight intensity allows the machine to make dynamic adjustments for optimal performance. Testing was carried out on a 1030Wh load, demonstrating a solid battery voltage of 12.35V at some point during an excessively sunny day, Day 4, with 730 W/m2 solar intensity. Generator utilization substantially decreased to a mean of just 2 hours per day during periods of grid instability. The effects additionally confirmed a clear correlation between sunlight intensity and battery performance, highlighting the system`s capacity to harness solar energy effectively. This hybrid power system no longer guarantees constant energy availability but also minimizes reliance on nonrenewable power sources, lowering environmental impact. It offers a sensible solution for energy-poor areas, presenting a reliable, sustainable, and cost-effective power alternative. These findings underscore the ability of hybridized energy systems with advanced controls to remodel energy access in developing areas.