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

Abstract

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. A possible solution to this issue includes the development of microgrids that utilize RESs, such as solar. 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, lead acid (LA), lithium-ion (Li-ion), and nickel-iron (Ni-Fe) are intended to meet the island's electrical load demand. Grey wolf optimization (GWO) is used to reduce the life cycle cost (LCC) and cost of energy (COE) by taking operational constraints into account. Further, indicators of the loss of power supply probability (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.