DOI: https://doi.org/10.61435/ijred.2024.60120

Sizing requirements of the photovoltaic charging station for small electrical vehicles

1University of Rwanda (UR-CST), African Center for Excellence in Energy for Sustainable Development, Kigali, Rwanda

2Imperial College London, Electrical and Electronic Department, London, United Kingdom

3Departament d’Enginyeria Elèctrica, Universitat Politècnica de Catalunya, Spain

Received: 5 Feb 2024; Revised: 6 Apr 2024; Accepted: 28 Apr 2024; Available online: 2 May 2024; Published: 1 Jul 2024.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2024 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

Electric vehicles (EVs) are being introduced in Rwanda and becoming attractive for different reasons. For instance, these types of vehicles can help decrease air pollution and noise emissions. In addition, it presents an alternative to combustion engines, given the increased price of fuel resources in Rwanda and around the world. This paper presents a tool tailored to optimize the design of an electrical charging station serving small-sized electric vehicles, utilizing the algorithm to assist in sizing stand-alone mopped charging stations. The developed tool is based on the toolbox EventSim from MathWorks, which permits the combination of the simulation of discrete events (such as the arrival of customers at the station) with continuous states (such as the simulation of the charging process). The required PV power was estimated by utilizing solar resources, for the location, from renewables. Ninja. The number of customers arriving at the existing oil station is normalized to estimate the energy requirements of the mopped fleet. A Poisson distribution was proposed to model the battery discharge upon arrival, and different related parameters were evaluated through a sensitivity analysis to identify their effects on the performance of photovoltaic charging station. For the testing values, the station parameters were changed by ±25% to determine the impact of key design parameters on station performance, as well as other satisfaction measures such as average waiting time and average queue length. With a 25% increase in photovoltaic panels, the blackout period decreases by 2.12%, while a 25% decrease in photovoltaic panels causes an increase of 2.18% in the blackout period. Utilizing the energy management system (EMS), the waiting time was reduced by 8%. 


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Keywords: Electric vehicles; EventSim; blackout; sensitivity analysis; energy waste.

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Section: Original Research Article
Language : EN
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  1. Ahmad, F., Iqbal, A., Ashraf, I., Marzband, M., & khan, I. (2022). Optimal location of electric vehicle charging station and its impact on distribution network: A review. Energy Reports, 8, 2314–2333. https://doi.org/10.1016/j.egyr.2022.01.180
  2. Ajao, K. R., Ambali, R. M., & Mahmoud, M. O. (2013). Determination of the optimal tilt angle for solar photovoltaic panel in Ilorin, Nigeria. Journal of Engineering Science and Technology Review, 6(1), 87–90. https://doi.org/10.25103/jestr.061.17
  3. Antarasee, P., Premrudeepreechacharn, S., Siritaratiwat, A., & Khunkitti, S. (2023). Optimal Design of Electric Vehicle Fast-Charging Station’s Structure Using Metaheuristic Algorithms. Sustainability (Switzerland), 15(1). https://doi.org/10.3390/su15010771
  4. Cabrera-Tobar, A., Pavan, A. M., Blasuttigh, N., Petrone, G., & Spagnuolo, G. (2022). Real time Energy Management System of a photovoltaic based e-vehicle charging station using Explicit Model Predictive Control accounting for uncertainties. Sustainable Energy, Grids and Networks, 31, 100769. https://doi.org/10.1016/J.SEGAN.2022.100769
  5. Chamola, V., & Sikdar, B. (2015). A Multistate Markov Model for Dimensioning Solar Powered Cellular Base Stations. IEEE Transactions on Sustainable Energy, 6(4), 1650–1652. https://doi.org/10.1109/TSTE.2015.2454434
  6. Chamola, V., & Sikdar, B. (2016). Power Outage Estimation and Resource Dimensioning for Solar Powered Cellular Base Stations. IEEE Transactions on Communications, 64(12), 5278–5289. https://doi.org/10.1109/TCOMM.2016.2587285
  7. Ciceu, C., & Serban, I. (2022). Energy Management System for EV Charging Stations Powered by Renewable Energy Sources. EPE 2022 - Proceedings of the 2022 12th International Conference and Exposition on Electrical and Power Engineering, 193–197. https://doi.org/10.1109/EPE56121.2022.9959811
  8. Dai, Q., Liu, J., & Wei, Q. (2019). Optimal photovoltaic/battery energy storage/electric vehicle charging station design based onmulti-agent particle swarm optimization algorithm. Sustainability (Switzerland), 11(7). https://doi.org/10.3390/su11071973
  9. Ding, X., Zhang, W., Wei, S., & Wang, Z. (2021). Optimization of an energy storage system for electric bus fast-charging station. Energies, 14(14), 1–17. https://doi.org/10.3390/en14144143
  10. Domínguez-Navarro, J. A., Dufo-López, R., Yusta-Loyo, J. M., Artal-Sevil, J. S., & Bernal-Agustín, J. L. (2019). Design of an electric vehicle fast-charging station with integration of renewable energy and storage systems. International Journal of Electrical Power and Energy Systems, 105, 46–58. https://doi.org/10.1016/j.ijepes.2018.08.001
  11. Energy, S., & Europe, S. (n.d.). Datasheet Sharp solarmodule NU-E245 (J5) 245 Wp. Retrieved July 6, 2023, from www.SolarAccess.co.uk
  12. Fachrizal, R., Shepero, M., Åberg, M., & Munkhammar, J. (2022). Optimal PV-EV sizing at solar powered workplace charging stations with smart charging schemes considering self-consumption and self-sufficiency balance. Applied Energy, 307, 118139. https://doi.org/10.1016/j.apenergy.2021.118139
  13. Gabbar, H. A., Elsayed, Y., Siddique, A. B., Elshora, A., & Adeleke, A. (2021). Design of Fast Charging Station with Energy Management for eBuses. Vehicles, 3(4), 807–820. https://doi.org/10.3390/vehicles3040048
  14. Grgory L, and Plett (2016)Volume II Equivalent-Circuit Methods: Vol. II. . Artech House 685 Canton street Norwood, MA02062
  15. Huang, Y., Yona, A., Takahashi, H., Hemeida, A. M., Mandal, P., Mikhaylov, A., Senjyu, T., & Lotfy, M. E. (2021). Energy management system optimization of drug store electric vehicles charging station operation. Sustainability (Switzerland), 13(11), 1–14. https://doi.org/10.3390/su13116163
  16. Hussain, A., Van-Hai Bui, Baek, J. W., & Kim, H. M. (2020). Stationary energy storage system for fast EV charging stations: Optimality analysis and results validation. Energies, 13(1). https://doi.org/10.3390/en13010230
  17. Ibrik, I. H. (2020). Techno-economic feasibility of energy supply of water pumping in palestine by photovoltaic-systems, diesel generators and electric grid. International Journal of Energy Economics and Policy, 10(3), 69–75. https://doi.org/10.32479/ijeep.8816
  18. Ikram, M., Rashid, M., Anak, J. R., & Osman, J. (n.d.). (2017)Design and Implementation of Battery Management System for Electric Bicycle. MATEC Web of Conferences 97, https://doi.org/10.1051/matecconf/20179701111
  19. Jochem, P., Landes, P., Reuter-Oppermann, M., & Fichtner, W. (2016). Workload patterns of fast charging stations along the german autobahn. World Electric Vehicle Journal, 8(4), 926–932. https://doi.org/10.3390/wevj8040936
  20. Kabir, M. E., Member, S., & Assi, C. (2020). Optimal Scheduling of EV Charging at a Solar Power-Based Charging Station,4221 - 4231. https://doi.org/10.1109/JSYST.2020.2968270
  21. Kim, Y., Kwak, J., & Chong, S. (2017). Dynamic Pricing, Scheduling, and Energy Management for Profit Maximization in PHEV Charging Stations. IEEE Transactions on Vehicular Technology, 66(2), 1011–1026. https://doi.org/10.1109/TVT.2016.2567066
  22. Leonics. How to Design Solar PV System - Guide for sizing your solar photovoltaic system. (n.d.). Retrieved July 6, 2023, from https://www.leonics.com/support/article2_12j/articles2_12j_en.php
  23. Lee, K. B., Ahmed, M. A., Kang, D. K., & Kim, Y. C. (2020). Deep reinforcement learning based optimal route and charging station selection. Energies, 13(23). https://doi.org/10.3390/en13236255
  24. Li, D., Zouma, A., Liao, J., & Yang, H. (2020). An energy management strategy with renewable energy and energy storage system for a large electric vehicle charging station. ETransportation, 6, 100076. https://doi.org/10.1016/j.etran.2020.100076
  25. Nishanthy, J., Charles Raja, S., Praveen, T., Jeslin Drusila Nesamalar, J., & Venkatesh, P. (2022). Techno‐economic analysis of a hybrid solar wind electric vehicle charging station in highway roads. International Journal of Energy Research, 46(6), 7883–7903. https://doi.org/10.1002/er.7688
  26. Omar, M. A., & Mahmoud, M. M. (2019). Design and simulation of a PV system operating in grid-connected and stand-alone modes for areas of daily grid blackouts. International Journal of Photoenergy, 2019. https://doi.org/10.1155/2019/5216583
  27. Pinsky, M.A and Karlin, S. (2011). An Introduction to Stochastic Modeling. Academic Press. 4th Edition. https://doi.org/10.1016/C2009-1-61171-0
  28. Poisson inverse cumulative distribution function - MATLAB poissinv. (n.d.). Retrieved July 6, 2023, from https://www.mathworks.com/help/stats/poissinv.html
  29. Ram, G., Mouli, C., Van Duijsen, P., Grazian, F., Jamodkar, A., Bauer, P., & Isabella, O. (2018). Sustainable E-Bike Charging Station That Enables AC, DC and Wireless Charging from Solar Energy Energies. 13(14), 3549 https://doi.org/10.3390/en13143549
  30. Renewables.ninja. (n.d.). Retrieved June 29, 2023, from https://www.renewables.ninja/
  31. Rwanda EV Charger Market 2022-2030 | September 2023 Updated. (n.d.). Retrieved September 21, 2023, from https://mobilityforesights.com/product/rwanda-ev-charger-market/
  32. Selim, A., Abdel-akher, M., Kamel, S., Jurado, F., & Almohaimeed, S. A. (2021). Electric Vehicles Charging Management for Real-Time Pricing Considering the Preferences of Individual Vehicles. Applied sciences. 11(14), 6632. https://doi.org/10.3390/app11146632
  33. Shafiq, A., Iqbal, S., Habib, S., ur Rehman, A., ur Rehman, A., Selim, A., Ahmed, E. M., & Kamel, S. (2022). Solar PV-Based Electric Vehicle Charging Station for Security Bikes: A Techno-Economic and Environmental Analysis. Sustainability (Switzerland), 14(21). https://doi.org/10.3390/su142113767
  34. SimEvents - MATLAB. (n.d.). Retrieved June 27, 2023, from https://www.mathworks.com/products/simevents.html
  35. Solar Panel Angle: how to calculate solar panel tilt angle? (n.d.). Retrieved June 29, 2023, from https://sinovoltaics.com/learning-center/system-design/solar-panel-angle-tilt-calculation/
  36. Su, S., Li, H., & Gao, D. W. (2018). Optimal Planning of Charging for Plug-In Electric Vehicles Focusing on Users Benefits. Energies. 10(7), 952. https://doi.org/10.3390/en10070952
  37. Wenham S.R., Green M.A., Watt M.E., Corkish R. (2007). Applied Photovoltaics . Earthscan .Second Edition,
  38. Wu, Z., Bhat, P. K., & Chen, B. (2023). Optimal Configuration of Extreme Fast Charging Stations Integrated with Energy Storage System and Photovoltaic Panels in Distribution Networks. Energies, 16(5). https://doi.org/10.3390/en16052385
  39. Xu, R., Ni, K., Hu, Y., Si, J., Wen, H., & Yu, D. (2017). Analysis of the optimum tilt angle for a soiled PV panel. Energy Conversion and Management, 148, 100–109. https://doi.org/10.1016/j.enconman.2017.05.058
  40. Yang, M., Zhang, L., Zhao, Z., & Wang, L. (2021). Comprehensive benefits analysis of electric vehicle charging station integrated photovoltaic and energy storage. Journal of Cleaner Production, 302, 126967. https://doi.org/10.1016/j.jclepro.2021.126967

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