O ptimal Sizing of a Hybrid Renewable Energy System Using Different Optimization Techniques
Keywords:
Hybrid Renewable Energy Systems (HRES), Optimal Sizing, Optimization Techniques, Cost of Energy (COE), Loss of Power Supply Probability (LPSP)Abstract
Hybrid Renewable Energy Systems (HRES) offer a viable solution for meeting energy demand, particularly in remote locations such as deserts, the Sahara, and mountainous regions. This paper presents an HRES composed of photovoltaic (PV) panels, wind turbines (WT), battery banks (BB), and a diesel generator (DG) for a case study in the mountainous region of Stourat, Skikda, Algeria. The system design considers key climatic factors, including wind speed, temperature, and solar irradiance.To determine the optimal sizing of the system, four optimization techniques—Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), Salp Swarm Algorithm (SSA), and Artificial Bee Colony (ABC)—were applied. The objective functions include minimizing the Cost of Energy (COE) and the Loss of Power Supply Probability (LPSP). The results show that the ABC algorithm achieved the best convergence, with an best objective function value of 0.10595, compared to 0.1071 for PSO, 0.10594 for SSA, and 0.11647 for WOA. Furthermore, after running the ABC algorithm, the optimized system resulted in a COE of 0.2579 $/kWh, an LPSP of 0.0038, and a Total Annual Cost (TAC) of $246,010. These findings demonstrate the effectiveness of optimization techniques in assisting designers in achieving optimal sizing and techno-economic feasibility for HRES
Downloads
References
P. Bajpai and V. Dash, “Hybrid renewable energy systems for power generation in stand-alone applications: A review,” Renew. Sustain. Energy Rev., vol. 16, no. 5, pp. 2926–2939, 2012, doi: 10.1016/j.rser.2012.02.009.
V. Khare, S. Nema, and P. Baredar, “Solar-wind hybrid renewable energy system: A review,” Renew. Sustain. Energy Rev., vol. 58, pp. 23–33, 2016, doi: 10.1016/j.rser.2015.12.223.
O. M. Babatunde, J. L. Munda, and Y. Hamam, “A Comprehensive State-of-the-Art Survey on Hybrid Renewable Energy System Operations and Planning,” IEEE Access, vol. 8, pp. 75313–75346, 2020, doi: 10.1109/ACCESS.2020.2988397.
Z. Belboul et al., “Multiobjective Optimization of a Hybrid PV/Wind/Battery/Diesel Generator System Integrated in Microgrid: A Case Study in Djelfa, Algeria,” Energies, vol. 15, no. 10, 2022, doi: 10.3390/en15103579.
B. Bacha, H. Ghodbane, H. Dahmani, A. Betka, A. Toumi, and A. Chouder, “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,” J. Energy Storage, vol. 84, no. PA, p. 110651, 2024, doi: 10.1016/j.est.2024.110651.
A. L. Bukar, C. W. Tan, and K. Y. Lau, “Optimal sizing of an autonomous photovoltaic/wind/battery/diesel generator microgrid using grasshopper optimization algorithm,” Sol. Energy, vol. 188, no. May, pp. 685–696, 2019, doi: 10.1016/j.solener.2019.06.050.
F. S. Mahmoud, A. A. Zaki, Z. M. Ali, A. M. El-sayed, T. Alquthami, and M. Ahmed, “Optimal sizing of smart hybrid renewable energy system using different optimization algorithms,” Energy Reports, vol. 8, pp. 4935–4956, 2022, doi: 10.1016/j.egyr.2022.03.197.
A. Kaabeche, M. Belhamel, and R. Ibtiouen, “Techno-economic valuation and optimization of integrated photovoltaic/wind energy conversion system,” Sol. Energy, vol. 85, no. 10, pp. 2407–2420, 2011, doi: 10.1016/j.solener.2011.06.032.
Z. Belboul, B. Toual, A. Bensalem, C. Ghenai, B. Khan, and S. Kamel, “Techno-economic optimization for isolated hybrid PV/wind/battery/diesel generator microgrid using improved salp swarm algorithm,” Sci. Rep., 2024, doi: 10.1038/s41598-024-52232-y.
A. Kaabeche and R. Ibtiouen, “Techno-economic optimization of hybrid photovoltaic/wind/diesel/battery generation in a stand-alone power system,” Sol. Energy, vol. 103, pp. 171–182, 2014, doi: 10.1016/j.solener.2014.02.017.
A. A. Zaki Diab, H. M. Sultan, I. S. Mohamed, N. Kuznetsov Oleg, and T. D. Do, “Application of different optimization algorithms for optimal sizing of pv/wind/diesel/battery storage stand-alone hybrid microgrid,” IEEE Access, vol. 7, pp. 119223–119245, 2019, doi: 10.1109/ACCESS.2019.2936656.
H. R. E. H. Bouchekara, Y. A. Sha’aban, M. S. Shahriar, S. M. Abdullah, and M. A. Ramli, “Sizing of Hybrid PV/Battery/Wind/Diesel Microgrid System Using an Improved Decomposition Multi-Objective Evolutionary Algorithm Considering Uncertainties and Battery Degradation,” Sustain., vol. 15, no. 14, 2023, doi: 10.3390/su151411073.
A. Fathy, “A reliable methodology based on mine blast optimization algorithm for optimal sizing of hybrid PV-wind-FC system for remote area in Egypt,” Renew. Energy, vol. 95, pp. 367–380, 2016, doi: 10.1016/j.renene.2016.04.030
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Abdel Djabar Bouchaala, Ahcene Boukadoum, Ahmed A. Zaki Diab
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
