Sensitivity Analysis of Renewable Resources Enhancing Hybrid Micro-Grid Design Through
摘要
Hybrid Micro-Grids offer a reliable solution for energy generation, especially in managing uncertainties such as fuel price, load demand, and renewable energy variations. This study investigates the impact of sensitivity analysis on designing cost-optimized and robust micro-grids. HOMER Pro software was utilized to analyze two configurations: one developed with sensitivity analysis and the other without. The study evaluates the economic and reliability performance of these configurations, focusing on metrics such as cost of energy (COE), operating cost, net present cost (NPC), and renewable energy utilization. The findings reveal that micro-grids designed with sensitivity analysis outperform those without, achieving superior cost-efficiency and reliability. The proposed configuration, integrating photovoltaic (PV), wind turbine (WT), gas-diesel generator (GD), and conventional turbine (CT), demonstrates remarkable results. Sensitivity analysis identified that the PV-WT-GD-CT configuration, optimized with solar irradiation of 5.79 kWh/m2/day and wind speed of 5.75 m/s, achieved a COE of $0.0255/kWh, an operating cost of –$149.01, and an NPC of $3,753. The hybrid system is also less emissions and a high renewable factor of 92.4%.