Optimal Sizing of Autonomous Microgrid Using Osprey Optimization Algorithm

This paper proposes an optimal size for an autonomous microgrid to satisfy the electrical load demand. The microgrid will comprise many different configurations, such as photovoltaic module, diesel generators, and energy storage technologies. By considering operational constraints to optimize the cost of energy (COE) and life cycle cost (LCC), the Osprey optimization algorithm (OOA) is applied. Furthermore, identify the most economically feasible technology that will ensure a continuous power supply, an economic study of three different energy storage technologies-namely, batteries, hydrogen storage systems, and supercapacitors-is also conducted. Additionally, provide a case study of Manpura island microgrid that validates the proposed approach. The results show that the OOA method in terms of optimal system performance and convergence speed, the loss of power supply probability is set at 0%, the LCC is 196915, the COE is 0.2959 /kWh, and the amount of GHG is 430 kgs/year.