HESO-H-Pro: a hybrid energy optimization framework for reliable and low-cost power systems

The integration of renewable and conventional energy sources is essential to meet rising energy demands while minimizing environmental impact. Current systems face challenges such as inefficient scheduling, high operational costs, and underutilization of renewable resources. The proposed Hybrid Energy System Optimization (HESO-H-Pro) framework uses simulation-based optimization to ensure the optimal mix of wind, solar, conventional energy, and purchased power, minimizing costs by considering demand predictability and seasonal availability. Results show that HESO-H-Pro achieved an installed capacity of 520 kW, producing 1550 kWh/day, with a storage capacity of 1100 kWh, a renewable fraction of 82%, and an energy efficiency of 82%. The system demonstrated a CO2 reduction of 38%, a significant improvement in energy cost, and a 3% unmet load. Implemented in the Theni district, it showcases a cost-effective, reliable energy solution with potential socio-economic benefits.