Optimal grid connected hybrid energy system for Egyptian residential area

This article presents a grid-connected hybrid energy system (HES) including a photovoltaic array (PV), wind turbines (WT), fuel cell (FC), electrolyzer, diesel generator, hydrogen tanks (HT) and battery systems. A multi-objective genetic algorithm (MOGA) is applied to find the optimal size of HES components with zero load rejection and selling the excess energy to the grid. The main aim of this article is to minimize the cost of electricity generated (COE) and CO
₂
emission simultaneously. A case study proposed hybrid energy system loads are some residential buildings (one block) in New Assiut City, Egypt with a peak value of 160.2 kW and yearly energy of 430 MWh. An optimal planning is obtained with a lifetime of 20 years. A comparison between different configurations of HES is done. Results showed that HES comprising PV/WT/battery/diesel is the most feasible economically and produce less CO
₂
emission than other configurations. Further, it is helping to decrease the load demand of the utility grid.