Techno-Economic Optimization of an Off-Grid Hybrid Solar–Diesel–Battery Energy System Using Genetic Algorithm for Institutional Electrification
DOI:
https://doi.org/10.47604/ajcet.3868Keywords:
Hybrid Renewable Energy System, Genetic Algorithm, Techno-Economic Optimization, Loss of Power Supply Probability (LPSP), Levelized Cost of Energy (LCOE)Abstract
Purpose: This study presents a techno-economic optimization of an off-grid Hybrid Renewable Energy System (HRES) comprising Solar Photovoltaic (PV), Battery Energy Storage System (BESS), and Diesel Generator (DG) for institutional electrification. The objective is to develop a reliability-constrained Genetic Algorithm (GA) model that minimizes the Levelized Cost of Energy (LCOE) while satisfying Loss of Power Supply Probability (LPSP) constraints for sustainable and cost-effective electricity supply.
Methodology: A mathematical optimization framework was developed for the hybrid PV–Battery–DG system using a Genetic Algorithm to determine the optimal sizing of system components under technical, operational, and reliability constraints. Four system configurations were evaluated, namely the GA-optimized PV–Battery–DG system, PV–Battery-only system, Diesel Generator-only system, and HOMER-optimized hybrid system. Simulations were implemented in MATLAB/Simulink, and the systems were assessed using techno-economic and environmental performance indicators including LCOE, Net Present Cost (NPC), LPSP, and CO₂ emissions.
Findings: The GA-optimized hybrid configuration achieved the best overall performance with an LCOE of $0.506/kWh, zero unmet load (LPSP = 0), and substantially lower CO₂ emissions than the diesel-only system. Although the PV–Battery-only configuration eliminated fuel consumption and emissions, it required significantly higher capital investment and exhibited slight load loss due to the absence of dispatchable backup. The diesel-only system provided high reliability but incurred the highest lifecycle cost and carbon emissions. The HOMER-optimized hybrid system confirmed the technical feasibility of hybridization but produced a higher energy cost than the proposed GA-based solution.
Unique Contribution to Theory, Practice and Policy: The study recommends the adoption of GA-based hybrid PV–Battery–DG energy systems for institutional off-grid electrification because they provide an optimal balance between economic viability, supply reliability, and environmental sustainability. Future studies should investigate multi-objective optimization techniques and incorporate demand-side management and other renewable energy resources to further improve system performance.
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References
Bernal-Agustín, J. L., Dufo-López, R., and Rivas-Ascaso, D. M. (2006). Design of isolated hybrid systems minimizing costs and pollutant emissions. Renewable Energy, 31(14), 2227–2244. https://doi.org/10.1016/j.renene.2005.11.008
Çelik, A. N. (2003). Techno-economic analysis of autonomous PV-wind hybrid energy systems using different sizing methods. Energy Conversion and Management, 44(12), 1951–1968. https://doi.org/10.1016/S0196-8904(02)00233-X
Chauhan, A., and Saini, R. P. (2014). A review on integrated renewable energy system based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control. Renewable and Sustainable Energy Reviews, 38, 99–120. . https://doi.org/10.1016/j.rser.2014.05.079
Daud, A. K., and Ismail, M. S. (2012). Design of isolated hybrid systems minimizing costs and pollutant emissions. Renewable Energy, 44, 215–224.
Dawoud, S. M., Lin, X., and Okba, M. I. (2018). Hybrid renewable microgrid optimization techniques: A review. Renewable and Sustainable Energy Reviews, 82(Part 3), 2039–2052. https://doi.org/10.1016/j.rser.2017.08.007
Deshmukh, M. K., and Deshmukh, S. S. (2008). Modeling of hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 12(1), 235–249. https://doi.org/10.1016/j.rser.2006.07.011
Dufo-López, R., and Bernal-Agustín, J. L. (2008). Multi-objective design of PV–wind–diesel–hydrogen–battery systems. Renewable Energy, 33(12), 2559–2572. https://doi.org/10.1016/j.renene.2008.02.012
Ekren, O., and Ekren, B. Y. (2010). Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing. Applied Energy, 87(2), 592–598. https://doi.org/10.1016/j.apenergy.2009.05.022
Elhadidy, M. A., and Shaahid, S. M. (2000). Parametric study of hybrid (wind + solar + diesel) power generating systems. Renewable Energy, 21(2), 129–139.
Ghasemi, A., Asrari, A., Zarif, M., and Abdelwahed, S. (2013). Techno-economic analysis of stand-alone hybrid photovoltaic–diesel–battery systems for rural electrification in eastern part of Iran A step toward sustainable rural development. Renewable and Sustainable Energy Reviews, 28, 456–462.
Kashefi Kaviani, A., Riahy, G. H., and Kouhsari, S. M. (2009). Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages. Renewable Energy, 34(11), 2380–2390.
Koholé, Y. W., Ngouleu, C. A. W., Fohagui, F. C. V., and Tchuen, G. (2024). Optimization and comparative analysis of hybrid renewable energy systems for sustainable and clean energy production in rural Cameroon considering the loss of power supply probability concept. Energy Conversion and Management: X, 23, 100829.
Koutroulis, E., Kolokotsa, D., Potirakis, A., and Kalaitzakis, K. (2006). Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms. Solar Energy, 80(9), 1072–1088. https://doi.org/10.1016/j.rser.2006..011
Mahesh, A., and Sandhu, K. S. (2015). Hybrid wind/photovoltaic energy system developments: Critical review and findings. Renewable and Sustainable Energy Reviews, 52, 1135–1147. https://doi.org/10.1016/j.rser.2006.07.011
Muselli, M., Notton, G., and Louche, A. (2000). PV-hybrid power systems sizing incorporating battery storage: An analysis via simulation calculations. Renewable Energy, 20(1), 1–7.
Omar, M. A. (2025). Techno-economic analysis of PV/diesel/battery hybrid system for rural community electrification: A case study in the Northern West Bank. Energy, 317, 134770
Shaahid, S. M., and Elhadidy, M. A. (2003). Opportunities for utilization of stand-alone hybrid (photovoltaic + diesel + battery) power systems in hot climates. Renewable Energy, 28(11), 1741–1753.
Sharafi, M., and ElMekkawy, T. Y. (2014). Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach. Renewable Energy, 68, 67–79.
Suresh, V., Muralidhar, M., and Kiranmayi, R. (2020). Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas. Energy Reports, 6, 594–604. https://doi.org/10.1016/e.report.2020.12.038
Tezer, T., Yaman, R., and Yaman, G. (2017). Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 73, 840–853. https://doi.org/10.1114/e,er.2
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Copyright (c) 2026 Oladeji Kayode Olayemi, Adetutu Razaaq Adebayo Ph.D, Okeniyi Samuel Olukunle
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