Optimal Sizing of an Islanded Microgrid System: A case study in Manpura Island, Bangladesh

Renewable energy sources (RESs) perform a crucial role in addressing energy crisis in remote rural areas where it is uneconomical to expand electrical distribution systems. RESs, like solar power, are able to power microgrids, which might be one way to address this problem. In order to guarantee that the system meets the essential performance requirements while reducing the overall cost, the microgrid must be sized optimally. This study proposed an approach of optimal sizing of an islanded microgrid at Manpura Island, Bangladesh, consisting of several configurations including photovoltaic (PV) systems, diesel generator (DG), and three distinct battery technologies, LA, Li-ion, and Ni-Fe are intended to meet the island’s load demand. Grey wolf optimization (GWO) is used to reduce the LCC and COE by taking operational constraints into account. Further, indicators of the LPSP assess the reliability and effectiveness of the island microgrid system. The results demonstrate that the GWO outperforms both the genetic algorithm (GA) and particle swarm optimization (PSO) method in term of optimal systems performance with LPSP of 0%, LCC of $202748 and COE of 0.3048$/KWh.