Cover
Vol. 21 No. 1 (2025)

Published: September 19, 2025

Pages: 251-263

Original Article

Feasibility Study of Off-Grid Rural Electrification in Iraq: A Case Study of the AL-Teeb Area

Husam A. Salim 1 Jabbar R. Rashed
1Electrical Engineering Department, Engineering College, Misan University, Iraq
History
  • Received: July 27, 2024
  • Revised: September 14, 2024
  • Accepted: September 30, 2024
  • Available Online: April 24, 2025
DOI

https://doi.org/10.37917/ijeee.21.1.24

Abstract

In developing nations, such as Iraq, supplying power to isolated and rural border areas that are not connected to the grid continues to be a problem. At present, fossil fuels, which are significant causes of pollution, supply around 80% of the world’s energy demands. Nonetheless, drastically reducing reliance on fossil fuels has many reasons, including depleting global fossil fuel supplies, increasing costs and growing energy needs. The present study examines the electrical requirements of the Al-Teeb area, a city situated in the eastern region of Iraq, close to the Iranian border. This region has not been researched despite its tourism and oil significance. Despite the unpredictable expansion of many isolated locations in Iraq in recent years, the number of generation stations has not changed. Supplying energy to these places will require considerable time and money. Photovoltaics (PV), wind turbines (WTs), diesel generators (DGs), batteries and converters combined on the basis of their compatibility under three distinct scenarios comprise the system’s components. Considering the lowest net present cost (NPC) and cost of energy (COE) of all the examined scenarios, PV, WTs, batteries and DGs are the most economical solutions for the Al-Teeb area. Number of PV (1,215), number of WTs (59), number of DGs (13), number of batteries (3,138), number of converters (47), COE (0.155 US$/kWh), NPC (14.2 million US$) and initial capital cost (4.91 million US$) are revealed by the results. Finally, the results are confirmed using another global optimization method, namely, modified particle swarm optimization.

Keywords

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