With the rising need for utilizing renewable energy instead of traditional energies in electricity generation across the world, a broad assessment of these energies' performance is required to make the most of them everywhere. This paper looks at the techno-economics of renewable energy resources for a distant health clinic in a rural location of southern Iraq. Cost, dependability, and availability are the parameters that were considered in this study, which took into consider the power load in this scenario. Because of its efficacy, the particle swarm optimization (PSO) technique was chosen for the suggested study. Results showed that the respective optimal values for number of photovoltaics (NPV) equal to (10), number of wind turbines (NWT) equal to (5), and number of batteries (NBT) of (33), cost of energy (COE) of (0.518 US$/kWh), loss power supply probability (LPSP) of (0.073%), reliability (REL) of (99.927%) and renewable factors (RF) of (100%) with (66 %) solar energy penetration, and (34%) wind energy penetration. Finally, it was discovered that implementing a hybrid renewable energy system (HRES) is an effective way to address the electrical demands of remote rural regions in Iraq and other developing countries with similar climates.

In today’s modern world, any community anywhere has the right to have access to a basic level of electricity. It is with this in mind that efforts are being made to provide electric power to even the most remote locations. Solar and wind energy are examples of renewable energy sources that are both clean and versatile. For a distant rural school in south-eastern Iraq, this research presents Particle Swarm Optimization (PSO) to reduce the Cost of Energy (COE) according to maximum dependability of Hybrid Renewable Energy System (HRES), by utilizing an integrated electrical generation system. The suggested hybrid system consists of PV, WT, and BT, all of which are subject to a certain investment restriction. Results showed that, the optimal sizing of the Number of Photovoltaics (NPV) equal to (9), Number of Wind turbines (NWT) equal to (6), Number of the batteries (NBT) of (29), Cost of energy (0.536 US$/kwh), Loss power supply probability (0.091 %), reliability (99.909 %) and renewable factors (100 %) with (59 %) PV penetration, and (41 %) WT penetration. As a result, the use of the hybrid system is justified from a technological, economic, and humanitarian standpoint.