Simulation-Based Optimization of Hybrid Renewable Energy System for Off-grid Rural Electrification

There is a need to develop an optimization tool that can be applied in the feasibility study of hybrid renewable energy system find optimal capacity different resources and support decision makers their performance investigation. A multi-objective function which minimizes Levelized Cost Energy (LCOE) Loss Load Probability Index (LLPI) but maximizes novel Match Ratio (EMR) was formulated. Simulation-based method combined with ε-constraint technique developed solve problem. In study, ten-year hourly electrical load demand, using end-use model, estimated for communities. The algorithm evaluated validated Hybrid Optimization Model Electric Renewables (HOMER®) software. minimized LCOE by 6.27% LLPI 167% when compared values ($0.444/kWh) (0.000880) obtained from HOMER® tool. Also, proposed approach calculated at $0.417/kWh, lower than $0.444/kWh HOMER®. From environmental perspective, it found while 141,370.66 kg CO2 saved base year, 183,206.51 ninth year.The concluded computationally efficient performed better this particular problem.The could adopted carrying out studies design HRES Off-Grid electrification, especially rural areas where access grid electricity limited