Optimal Sizing for an Islanded Microgrid using Grey Wolf Optimization: A Case Study of 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. 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, Liion, 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