Optimal Sizing and Techno-Economic Analysis of Grid-Independent Hybrid Energy System for Sustained Rural Electrification in Developing Countries: A Case Study in Bangladesh

The absence of electricity is among the gravest problems preventing a nation’s development. Hybrid renewable energy systems (HRES) play vital role to reducing this issue. major goal study use non-dominated sorting genetic algorithm (NSGA)-II and hybrid optimization multiple resources (HOMER) Pro Software reduce net present cost (NPC), (COE), CO2 emissions proposed power system. Five cases have been considered understand optimal HRES system for Kutubdia Island in Bangladesh analyzed technical viability economic potential To demonstrate efficacy suggested strategy, best case outcomes from two approaches are compared. study’s solution also subjected sensitivity analysis take into account fluctuations annual wind speed, solar radiation, fuel costs. According data, optimized PV/Wind/Battery/DG (USD 711,943) has lower NPC than other cases. obtained by NSGA-II technique 2.69% that HOMER-based