Design and Control of A Standalone Photovoltaic Power System For Telecommunications In Isolated Regions of Algeria
Abstract
References
C. Olalla, R. Leyva, I. Queinnec, and D. Maksimovic, “Robust Gain-Scheduled Control of Switched-Mode DC–DC Converters,†IEEE Trans. Power Electron., vol. 27, no. 6, pp. 3006–3019, Jun. 2012, doi: 10.1109/TPEL.2011.2178271.
H. Patel and V. Agarwal, “MATLAB-Based Modeling to Study the Effects of Partial Shading on PV Array Characteristics,†IEEE Transactions on Energy Conversion, vol. 23, no. 1, pp. 302–310, Mar. 2008, doi: 10.1109/TEC.2007.914308.
World energy statistics,†OECD. doi: 10.1787/data-00510-en.
R. B. Bollipo, S. Mikkili, and P. K. Bonthagorla, “Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation,†IET Renewable Power Generation, vol. 14, no. 9, pp. 1433–1452, Jul. 2020, doi: 10.1049/ietrpg.2019.1163.
P. Priya and A. A. Stonier, “Advancements in maximum power point tracking (MPPT) techniques for solar photovoltaic (PV) applications: A comprehensive review,†Energy Conversion and Management: X, vol. 29, p. 101438, Jan. 2026, doi: 10.1016/j.ecmx.2025.101438.
M. Abdel-Salam, M. Th. El-Mohandes, and M. El-Ghazaly, “An Efficient Tracking of MPP in PV Systems Using a Newly-Formulated P&O-MPPT Method Under Varying Irradiation Levels,†Journal of Electrical Engineering & Technology, vol. 15, no. 1, pp. 501–513, Jan. 2020, doi: 10.1007/s42835-019-00283-x.
W. A. Ahmed and M. A. Sharif, “Embedded MPPT for Photovoltaic Systems: Low-Cost Microcontrollers, P&O and Incremental Conductance Algorithms, and IoT-Based Monitoring - A Systematic Review,†NTU Journal of Renewable Energy, vol. 10, no. 1, pp. 39–54, Feb. 2026, doi: 10.56286/sfx8zv04.
A. M. Hassan and M. T. Iqbal, “The Dynamic Modeling of a Grid-Connected Photovoltaic Setup using MATLAB/Simulink,†European Journal of Energy Research, vol. 5, no. 4, pp. 1–6, Jul. 2025, doi: 10.24018/ejenergy.2025.5.4.167.
C. Jamroen and P. Vongkoon, “The role of state-of-charge management in optimal techno-economic battery energy storage sizing for off-grid residential photovoltaic systems,†J. Energy Storage, vol. 72, p. 108246, Nov. 2023, doi: 10.1016/j.est.2023.108246.
S. Triwijaya, A. Pradipta, Y. Prasetyo, and T. Wati, “Battery Management System (BMS) Considering State of Charge (SOC) With Integration of Open Circuit Voltage and Coulomb Counting Methods Ups Sinyal Telecommunication Equipment Room (STER),†Jurnal Perkeretaapian Indonesia (Indonesian Railway Journal), vol. 9, no. 1, pp. 37–43, Apr. 2025, doi: 10.37367/jpi.v9i1.416.
D. Legan and I. Humar, “Development of the System for Energy Optimization Efficiency at Telecommunication Base Stations with Photovoltaic Integration,†in 2026 IEEE 23rd Mediterranean Electrotechnical Conference (MELECON), IEEE, Feb. 2026, pp. 1–5. doi: 10.1109/MELECON64486.2026.11418834.
P. Agarwal and A. Penta, “Analysis of Second-Life Electric Vehicle Batteries Value Maximizing through Repurposing and Resale, Ways to Achieve Optimal Performance and Standardization Challenges for Testing and Certification,†Jan. 2026. doi: 10.4271/2026-26-0193.
H. Zereg and H. Bouzgou, “Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrification in Algeria,†2022, pp. 21–33. doi: 10.1007/978-3-030-92038-8_3.
K. Adolf and A. Uzorka, “Effects of substrates on the efficiency of a monocrystalline solar panel,†Sci. Rep., vol. 15, no. 1, p. 6667, Feb. 2025, doi: 10.1038/s41598-025-90523-0.
X. Hu, F. Feng, K. Liu, L. Zhang, J. Xie, and B. Liu, “State estimation for advanced battery management: Key challenges and future trends,†Renewable and Sustainable Energy Reviews, vol. 114, p. 109334, Oct. 2019, doi: 10.1016/j.rser.2019.109334.
H. Sahraoui, H. Mellah, S. Mouassa, F. Jurado, and T. Bessaad, “Lyapunov-Based Adaptive Sliding Mode Control of DC–DC Boost Converters Under Parametric Uncertainties,†Machines, vol. 13, no. 8, p. 734, Aug. 2025, doi: 10.3390/machines13080734.
N. Chen et al., “Network-Layer Perspectives on Satellite–Terrestrial Integrated Networks in 6G: A Comprehensive Review,†Engineering, vol. 54, pp. 69–92, Nov. 2025, doi: 10.1016/j.eng.2025.05.012.
W. Scharnhorst, H.-J. Althaus, M. Classen, O. Jolliet, and L. M. Hilty, “The end of life treatment of second generation mobile phone networks: Strategies to reduce the environmental impact,†Environ. Impact Assess. Rev., vol. 25, no. 5, pp. 540–566, Jul. 2005, doi: 10.1016/j.eiar.2005.04.005.
H. Sahraoui, H. Mellah, S. Drid, and L. Chrifi-Alaoui, “Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid,†Electrical Engineering & Electromechanics, no. 5, pp. 57–66, Oct. 2021, doi: 10.20998/2074-272X.2021.5.08.
“Second Order Sliding Mode Control of DC-DC converter used in the Photovoltaic System according an Adaptive MPPT,†International Journal of Renewable Energy Research, no. v6i2, 2016, doi: 10.20508/ijrer.v6i2.3369.g6797.
S. Barik and B. Saravanan, “Hybrid long short-term memory network and Bayesian adaptive extended Kalman filter approach for reliable lithium-ion battery state-of-charge estimation in electric vehicles,†J. Energy Storage, vol. 154, p. 121154, Apr. 2026, doi: 10.1016/j.est.2026.121154.
L. Du, X. Shen, X. Li, X. Li, and Y. Wei, “Battery state of charge estimation from electrochemical impedance spectroscopy data based on machine learning with fractional order model parameters and distribution relaxation time features,†J. Energy Storage, vol. 144, p. 119754, Jan. 2026, doi: 10.1016/j.est.2025.119754.
N. Mary and L.-A. Dessaint, “Robust model predictive control of battery energy storage with neural network forecasting for peak shaving in university campus,†Journal of Building Engineering, vol. 107, p. 112445, Aug. 2025, doi: 10.1016/j.jobe.2025.112445.