Performance of RIME Algorithm for Optimal Sizing of Design Hybrid Wind Turbine-Photovoltaic-Battery System

Abstract

In developing nations, many remote areas use internal combustion generators as their primary source of power, as a result, energy is costly in these places. Therefore, hybrid renewable energy systems (HRESs) like wind turbine (WT) and photovoltaic (PV) offer a cost-effective way to distribute electricity in these locations. However, because of the unreliability in determining the output power of these resources, a battery energy storage system is utilized. This research study optimizes photovoltaic/wind turbine/battery (PV/WT/Batt) HRES that is connected to a standalone micro-grid to supply the energy needs of residential housing and industrial units in the Egyptian city of Siwa, Egypt. The optimum sizing of hybrid system is applied based on RIME algorithm. A fitness function is used to minimize the loss of power supply probability (LPSP). The decision variables of optimization problem (including number of PV arrays and WTs) are optimized for having a high-performance reliable system. From the results, optimal HRES system is made up of 98 PV arrays, 187 wind turbines, and 414 batteries. The designed HRES delivers exceptional performance, with no unmet loads and a relatively low cost of energy (COE) and LSPS.