Sizing Design a Hybrid PV-Wind System with Battery Storage using IHOGA Simulator

Main Article Content

Baala Seddik
Berbaoui Brahim
Harrouz Abdelkader
Dahhou Brahim

Abstract

Renewable energy sources offer a viable solution to meet energy demands while simultaneously reducing environmental pollution from conventional power plants. However, the inherent variability of weather conditions renders reliance on a single energy source inadequate. Therefore, a hybrid renewable energy system (HRES), incorporating both solar and wind energy, along with battery storage, is necessary. This study investigates the techno-economic aspects of a hybrid system in an isolated area in Adrar, Algeria, employing the IHOGA (Improved Hybrid Optimization by Genetic Algorithms) software to yield noteworthy results. The system design includes a 4.4 kW photovoltaic array, a 0.92 kW wind turbine, a 56.16 kWh battery bank, and a 3000 W inverter. The loads are proposed for the region, which has an average annual energy consumption of 2554.9778 kWh/year. The simulation results reveal the total system cost Net Present Cost (NPC) over a 25-years lifespan, level cost of energy plus CO2 emissions, and environmental impacts.

Article Details

Section

special

Author Biographies

Berbaoui Brahim, Department of Electrical Engineering, Laboratoire du Développement Durable et Informatique (LDDI), University of Adrar, Algeria

 

 

Harrouz Abdelkader, Department of Electrical Engineering, Laboratoire du Développement Durable et Informatique (LDDI), University of Adrar, Algeria

 

 

How to Cite

[1]
B. Seddik, B. Brahim, H. Abdelkader, and D. Brahim, “Sizing Design a Hybrid PV-Wind System with Battery Storage using IHOGA Simulator”, J. Ren. Energies, vol. 28, no. 5, pp. 93 – 102, Nov. 2025, doi: 10.54966/jreen.v28i5.1511.

References

Araoye, T. O., Ashigwuike, E. C., Mbunwe, M. J., Bakinson, O. I., & Ozue, T. I. (2024). Techno-economic modeling and optimal sizing of autonomous hybrid microgrid renewable energy system for rural electrification sustainability using HOMER and grasshopper optimization algorithm. Renewable Energy, 229, 120712. https://doi.org/10.1016/j.renene.2024.120712

Bacha, B., Ghodbane, H., Dahmani, H., Betka, A., Toumi, A., & Chouder, A. (2024). Optimal sizing of a hybrid microgrid system using solar, wind, diesel, and battery energy storage to alleviate energy poverty in a rural area of Biskra, Algeria. Journal of Energy Storage, 84, 110651. https://doi.org/10.1016/j.est.2024.110651

Bonkile, M. P., & Ramadesigan, V. (2022). Effects of sizing on battery life and generation cost in PV–wind battery hybrid systems. Journal of Cleaner Production, 340, 130341. https://doi.org/10.1016/j.jclepro.2021.130341

Chen, Q., Kuang, Z., Liu, X., & Zhang, T. (2024). Optimal sizing and techno-economic analysis of the hybrid PV-battery-cooling storage system for commercial buildings in China. Applied Energy, 355, 122231. https://doi.org/10.1016/j.apenergy.2023.122231

Fares, D., Fathi, M., & Mekhilef, S. (2022). Performance evaluation of metaheuristic techniques for optimal sizing of a stand-alone hybrid PV/wind/battery system. Applied Energy, 305, 117823. https://doi.org/10.1016/j.apenergy.2021.117823

Fathima, H., & Palanisamy, K. (2015). Optimized Sizing, Selection, and Economic Analysis of Battery Energy Storage for Grid-Connected Wind-PV Hybrid System. Modelling and Simulation in Engineering, 2015, 1–16. https://doi.org/10.1155/2015/713530

Ganguly, P., Kalam, A., & Zayegh, A. (2017). Design an optimum standalone hybrid renewable energy system for a small town at Portland, Victoria using iHOGA. 2017 Australasian Universities Power Engineering Conference (AUPEC), 1–6. https://doi.org/10.1109/AUPEC.2017.8282487

Hoarca, I. C., Bizon, N., Sorlei, I. S, & Thounthong, P. (2023). Sizing Design for a Hybrid Renewable Power System Using HOMER and iHOGA Simulators. Energies, 16(4), 1926. https://doi.org/10.3390/en16041926

Hussain, S., Sharma, S. K., & Lal, S. (2024). Feasible synergy between hybrid solar PV and wind system for energy supply of a green building in Kota (India): A case study using iHOGA. Energy Conversion and Management, 315, 118783. https://doi.org/10.1016/j.enconman.2024.118783

Lujano-Rojas, J., Dufo-Lopez, R., & Dominguez-Navarro, J. A. (2023). Optimization of renewable energy systems by genetic algorithms. In Genetic Optimization Techniques for Sizing and Management of Modern Power Systems (pp. 247–281). Elsevier. https://doi.org/10.1016/B978-0-12-823889-9.00007-2

Niveditha, N., & Rajan Singaravel, M. M. (2022). Optimal sizing of hybrid PV–Wind–Battery storage system for Net Zero Energy Buildings to reduce grid burden. Applied Energy, 324, 119713. https://doi.org/10.1016/j.apenergy.2022.119713

Nogueira, C. E. C., Vidotto, M. L., Niedzialkoski, R. K., De Souza, S. N. M., Chaves, L. I., Edwiges, T., Santos, D. B. D., & Werncke, I. (2014). Sizing and simulation of a photovoltaic-wind energy system using batteries, applied for a small rural property located in the south of Brazil. Renewable and Sustainable Energy Reviews, 29, 151–157. https://doi.org/10.1016/j.rser.2013.08.071

Recioui, A., Benaissa, N., & Dekhandji, F. Z. (2022). Hybrid Renewable Energy System Optimization using iHOGA. Algerian Journal of Signals and Systems, 7(3), 99–108. https://doi.org/10.51485/ajss.v7i3.167

Shamachurn, H. (2021). Optimization of an off-grid domestic Hybrid Energy System in suburban Paris using iHOGA software. Renewable Energy Focus, 37, 36–49. https://doi.org/10.1016/j.ref.2021.02.004

Thirunavukkarasu, M., & Sawle, Y. (2020). Design, analysis and optimal sizing of standalone PV/diesel/battery hybrid energy system using HOMER. IOP Conference Series: Materials Science and Engineering, 937(1), 012034. https://doi.org/10.1088/1757-899X/937/1/012034

Similar Articles

You may also start an advanced similarity search for this article.