Energy Management Applied To Non-Autonomous Photovoltaic Station For Hybrid Vehicle Loading

Main Article Content

Kamel Djermouni
Ali Berboucha
Kaci Ghedamsi
Djamal Aouzellag
Salah Tamalouzt

Abstract

Among the major challenges of widespread use of electric and hybrid vehicles, it is the unavailability of platforms and loading stations in a sufficient manner, for this reason, people think about having semi-autonomous individual stations, In this article we propose a type of semi-autonomous stations, which can be multifunctional thanks to an adaptive algorithm for managing various energy flows, by incorporating on a controller based on fuzzy logic which can take the role of an optimization system with two inputs (sunlight and battery charge state) and an output that represents the energy allowed to be used to meet other energy needs.

Article Details

How to Cite
[1]
K. Djermouni, A. . Berboucha, K. . Ghedamsi, D. . Aouzellag, and S. . Tamalouzt, “Energy Management Applied To Non-Autonomous Photovoltaic Station For Hybrid Vehicle Loading ”, J. Ren. Energies, vol. 1, no. 1, pp. 33 -, May 2024.
Section
special

References

Aisha S and al, (2020). A day-ahead multi-approach machine learning technique for photovoltaic power forecasting. 9th International Conference on Renewable Energy Research and Applications Glasgow, UK, Sep. 27-30, 2020.

AL-Wesabi I and al, (2023). Hybrid SSA-PSO based intelligent direct sliding mode control for extracting maximum photovoltaic output power and regulating the DC-bus voltage. International journal of hydrogen energy 2023.

Ankush G, Sathans S, (2023). Charging station control strategy considering dynamic behaviour of electric vehicles with variable state of charge regulation for energy management of autonomous micro-grid. Journal of Energy Storage 59 (2023) 106460.

Arun, P., Banerjee, R., Bandyopadhyay, S., (2009). Optimum sizing of photovoltaic battery systems incorporating uncertainty through design space approach. Solar Energy 83 (7), 1013–1025.

Barca, G., Moschetto, A., Sapuppo, C., Tina, G.M., Giusto, R., Grasso, A.D., (2008). Optimal energy management of a photovoltaic standalone dual battery system. MELECON. In: The 14th IEEE Mediterranean Electrotechnical Conference, May, 2008.

Chaabene M, Annabi M, (1998). Dynamic thermal model for predicting solar plant adequate energy management. Energy Convers Manage 1998;39(3–4):349–55.

Chaabene, M., Ammar, M.B., Elhajjaji, A., (2007). Applied fuzzy approach for optimal energy management of a domestic photovoltaic panel. Applied Energy 84, 992–1001.

Chao-Rong C, Yong-Sheng C, Tzu-Chiao L, (2019). Optimal Charging Scheduling for Electric Vehicle in Parking Lot with Renewable Energy System. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) Bari, Italy. October 6-9, 2019.

De Soto W and al. (2006) Improvement and validation of a model for photovoltaic array performance. Solar Energy 2006;80(1):78–88.

Dhingra K, Singh M, (2020). Handshaking of VSG with charging station to support the frequency in microgrid, Electr. Eng. 102 (2020) 2349–2362.

Dibavar A. A and al, (2021). Two-stage robust energy management of a hybrid charging station integrated with the photovoltaic system. International journal of hydrogen energy 46 (2021).

Djermouni K, Berboucha A, Ghedamsi K, Aouzellag D, (2012). Application of the Particle Swarm Optimization algorithm "PSO" and five levels inverter in a photovoltaic water pumping system. in Proceedings of International Renewable Energy Congress, 2012 – Sousse, Tunisia, IREC2012-PVE-205/P.

Djermouni K., Berboucha A., Ghedamsi K., Aouzellag D., (2015). Optimization of a photovoltaic field during faulty and normal operation. Solar Energy 113 (2015) 171–180.

Fu Z, Li Z, Si P, Tao F. (2019) A hierarchical energy management strategy for fuel cell/battery/supercapacitor hybrid electric vehicles. Int J Hydrogen Energy 2019;44(39):22146e59.

Gergaud O, Multon B, Ben Ahmed H. (2002). Analysis and experimental validation of various photovoltaic system models In 7th International Electrimacs Congress, Montreal, August; 2002.

Gong Xi, Kulkarni M. Design optimization of a large-scale rooftop photovoltaic system.Solar Energy 2005;78:362–74.

Joaquim M and al, (2022). Multi-vector energy management system including scheduling electrolyser, electric vehicle charging station and other assets in a real scenario. Journal of Cleaner Production 380 (2022) 134996.

Kaiser, R, (2007). Optimized battery-management system to improve storage lifetime in renewable energy systems. Journal of Power Sources 168, 58–65, 2007

Kang Feel S, Cho Su E, Park Sung J, (2005). A new control scheme of a cascaded transformer type multilevel inverter for a residential photovoltaic conditioning system. Solar Energy 2005;78:727–38.

Kawamura H, Naka K, Yonekura N. (2003). Simulation of I–V characteristics of a PV module with shaded PV cells. Solar Energy Mater Solar Cells 2003;75:613–21.

Krishan O, Suhag S, (2020). A novel control strategy for a hybrid energy storage system in a grid-independent hybrid renewable energy system, Int. Trans. Electr. Energy Syst. 30 (2020).

Lu D, Fakham H, Zhou T, François B, (2010). Application of Petri nets for the energy management of a photovoltaic based power station including storage units, Renewable Energy 35-1117–1124

Mo E, Ahmed F, Moataz M, (2022). Autonomous drone charging station planning through solar energy harnessing for zero-emission operations. Sustainable Cities and Society 86 (2022) 104122.

Nge, C.L., Ranaweera, I.U., Midtgård, O.-M., Norum, L, (2019). A real-time energy management system for smart grid integrated photovoltaic generation with battery storage. Renew. Energy 130, 774–785, 2019.

Qi, Z., Wang, S., Liu, G., Tian, G., (2009). Integrated control of energy management for stand-alone PV system. In: Asia-Pacific Power Energy Engine Conference, 978-1-4244-2487-0-09 IEEE, pp. 1–4.

Ricaud A, Photovoltaic systems, (2011). Engineering School Polytech 'Savoie, 5th year, France 2011.

Riffonneau, Y., Bacha, S., Barruel, F., Ploix, S., (2011). Optimal power flow management for grid connected PV systems with batteries. Sustain Energy, IEEE Transactions 2 (3), 309–320.

Semaoui, Hadj Arab A, Bacha S, Azoui B, (2013). The new strategy of energy management for a photovoltaic system without extra intended for remote-housing. Solar Energy 94 (2013) 71–85.

Serpi A, Porru M. (2019). Modelling and design of real-time energy management systems for fuel cell/battery electric vehicles. Energies 2019;12(22):4260.

Trinh P.H, Chung I.Y, (2021). Optimal control strategy for distributed energy resources in a DC microgrid for energy cost reduction and voltage regulation, Energies (Basel) 14 (2021).

Xu Mei and al. (2004). Modelling anti-islanding protection devices for photovoltaic systems. Renewable Energy 2004;29:2195–216.

Zhao Z, Wang T, Li M, Wang H, Wang Y, (2020). Optimization of fuzzy control energy management strategy for fuel cell vehicle power system using a multi-island genetic algorithm. Energy Sci Eng 2020. 10.1002/ese3.835. 2020.

Zhu, X., Liao, Z., (2009). Energy management for stand-alone PV system. ISECS. In: International Colloquium on Computing, Communication, Control, and Management, ISBN: 978-1-4244-4246-1 IEEE, August.