Optimal Sizing for Renewable Hybrid Energy Systems: A Review With Some Applications

Access to energy can be compromised or restricted in many situations, such as refugee crisis areas, rural areas, and military camps. Therefore, being able to meet basic electricity needs with off-grid power solutions is critical. This paper reviews the recent classification, evaluation criteria, and sizing methods dedicated to hybrid renewable energy systems. The proposed solution includes a container that houses wind turbines, batteries, and photovoltaic systems. The optimization process takes into account the specifics of consumer demand and the availability of local renewable energy sources. To study the performance of the solution, simulation results according to NSGA II are presented and analyzed.Artificial intelligence is the most promising sizing method compared to traditional sizing methods. Indeed, a Multi-objective application dedicated to the dilemma of financial-energy security cost is presented.