Optimum sizing and configuration of electrical system for telecommunication base stations with grid power, Li-ion battery bank, diesel generator and solar PV

Silva, C.M.M.R.S.; Premadasa, P.N.D.; Chandima, D.P.; Karunadasa, J.P.; Wheeler, Patrick

Abstract

The rising demand for cost effective, sustainable and reliable energy solutions for telecommunication base stations indicates the importance of integration and exploring the feasibility of hybrid energy systems. This study develops a mathematical model and investigates an optimization approach for optimal sizing and deployment of solar photovoltaic (PV), battery bank storage and a diesel generator for grid connected telecommunication base station. The proposed optimum hybrid electrical system is designed to minimize total capital and operational costs while achieving 100% power availability for telecommunication equipment under varying grid power availabilities. A detailed analysis was conducted under different grid power availabilities and base station load profiles heterogeneous to different geographical locations where telecommunication base stations are located. A comprehensive analysis is conducted by genetic algorithm for different system configurations under specified constraints and specifications of electrical systems. The analysis results demonstrate the dynamic and adaptive behaviour in the levelized cost of energy against grid power availability, combinations in energy resources and cost intensity of selected resources while maintaining the levelized cost of energy of the proposed electrical system between 0.047 $/kWh to 0.060 $/kWh which is well below the considered tariff of utility grid of 0.087 $/kWh in the optimization.

Citation

Silva, C., Premadasa, P., Chandima, D., Karunadasa, J., & Wheeler, P. (2025). Optimum sizing and configuration of electrical system for telecommunication base stations with grid power, Li-ion battery bank, diesel generator and solar PV. Journal of Energy Storage, 123, Article 116704. https://doi.org/10.1016/j.est.2025.116704

• Journal Article Type: Article
• Acceptance Date: Apr 14, 2025
• Online Publication Date: Apr 30, 2025
• Publication Date: Jul 1, 2025
• Deposit Date: Jul 17, 2025
• Publicly Available Date: May 1, 2026
• Journal: Journal of Energy Storage
• Electronic ISSN: 2352-152X
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 123
• Article Number: 116704
• DOI: https://doi.org/10.1016/j.est.2025.116704
• Public URL: https://nottingham-repository.worktribe.com/output/48699560
• Publisher URL: https://www.sciencedirect.com/science/article/abs/pii/S2352152X25014173?via%3Dihub