The charging station location problem with photovoltaic systems: A case study
Abstract
In recent years there is the tendency to charge Electric Vehicles (EVs) with clean sources of energy. Due to this tendency, scientific literature focused on problems of locating and sizing Photovoltaic (PV) Charging Stations (CSs). In this paper, we studied the case of the localization and sizing of PV powered CSs in the region of Valle de Aburrá, Colombia, which is the region of the country with the fastest growth of EV adoption. Looking to utilize the largest amount of PV power, we considered Level 1 (low-power) PV-grid CSs. The use of other PV charging systems, like level 3 (high-power) charging, would require covering bigger roof areas with PV panels, more than the available on an urban landscape. Considering that this problem takes into account low-power CSs, candidate CS locations are places where people go for extended periods of time, with large roof areas and parking availability. In this problem, the decision variables are the location of the CSs, the amount of charging spots at each selected location, and the size of the PV system. These decisions aim to minimize the added annualized cost of the PV systems, the annualized cost of the charging spots in the selected CSs, and the cost of energy purchased from the grid in a year. For calculating the amount of power that the PV systems are capable of generating, we obtained the typical irradiation curves for each candidate CS location. For solving the studied problem, we propose a Mixed Integer Linear Programming (MILP) formulation.
Keywords
Categories
Authors
References
Amini, M. H., Moghaddam, M. P., & Karabasoglu, O. (2017). Simultaneous allocation of electric vehicles’ parking lots and distributed renewable resources in smart power distribution networks. Sustainable Cities and Society, 28, 332–342. https://doi.org/https://doi.org/10.1016/j.scs.2016.10.006
Asociación Nacional de Movilidad Sostenible. (2020). Informe vehículos hev, phev y bev octubre, Colombia 2020. https://www.andemos.org/wp-content/uploads/2020/11/Informe-Híbridos-y-Electricos-2020-10.pdf
Bedoya, J., Martinez, E. (2009). Calidad del aire en el Valle de Aburrá Antioquia-Colombia. Dyna 76, 7–15
Bhatti, A. R., Salam, Z., Aziz, M. J. B. A., Yee, K. P., & Ashique, R. H. (2016). Electric vehicles charging using photovoltaic: Status and technological review. Renewable and Sustainable Energy Reviews, 54, 34–47. https://doi.org/https://doi.org/10.1016/j.rser.2015.09.09
Domínguez-Navarro, J., Dufo-López, R., Yusta-Loyo, J., Artal-Sevil, J., Bernal-Agustín, J. (2019). Design of an electric vehicle fast-charging station with integration of renewable energy and storage systems. International Journal of Electrical Power &
Energy Systems 105, 46–58. https://doi.org/https://doi.org/10.1016/j.ijepes.2018.08.001
El Tiempo. (2021). Medellín 'se pone las pilas' con la movilidad eléctrica [Online]. Available at: https://www.eltiempo.com/colombia/medellin/medellinmovilidad-electrica-toma-fuerza-en-la-capital-de-antioquia-570839. (Accessed: 20 Jun 2022)
Emergente, (2020). ¿cuánto cuesta mi sistema de energía solar? [Online]. Available at: https://www.emergente.com.co/cotiza-tu-proyecto-solar/. (Accessed: 25 Jun 2022)
European Commission’s Science and Knowledge Service. (2020). Photovoltaic geographical information system (pvgis) [Online]. Available at: https://re.jrc.ec.europa.eu/pvg_tools/en/. (Accessed: 18 Jun 2022)
European Environment Agency. (2021). Greenhouse gas emissions from transport in europe [Online]. Available at: https://www.eea.europa.eu/ims/greenhouse-gas-emissions-from-transport. (Accessed: 8 Jun 2022)
FENALCO. (2020). Informe de vehículos eléctricos e híbridos a febrero 2020. https://www.andi.com.co//Uploads/Informe%20Carros%20Electricos%202020.pdf
Google. (2020a). Google earth [Online]. Available at: https://earth.google.com/web/. (Accessed: 30 Jun 2022)
Google. (2020b). Or tools [Online]. Available at: https://developers.google.com/optimization. (Accessed: 30 Jun 2022)
Ji, D., Lv, M., Yang, J., Yi, W. (2020). Optimizing the locations and sizes of solar assisted electric vehicle charging stations in an urban area. IEEE Access 8, 112772–112782. https://doi.org/10.1109/ACCESS.2020.3003071
Medellín Cómo Vamos. (2020). Valle de aburrá: población por municipio, 2020 [Online]. Available at: https://www.medellincomovamos.org/node/18687. (Accessed: 25 Jun 2022)
Ministerio de Ambiente, Vivienda y Desarrollo Territorial. (2010). Nsr-10. https://www.unisdr.org/campaign/resilientcities/uploads/city/attachments/3871-10684.pdf
Mozafar, M.R., Moradi, M.H., Amini, M.H. (2017). A simultaneous approach for optimal allocation of renewable energy sources and electric vehicle charging stations in smart grids based on improved GA-PSO algorithm. Sustainable Cities and
Society, 32, 627–637. https://doi.org/https://doi.org/10.1016/j.scs.2017.05
National Renewable Energy Laboratory. (2020). Pvwatts calculator [Online]. Available at: https://pvwatts.nrel.gov/. (Accessed: 2 Jun 2022)
Qualtrics. (2020). Qualtrics [Online]. Available at: https://eafitnegocios.eu.qualtrics.com/jfe/form/SV_5nzONpCFTxNuAJL. (Accessed: 5 Jun 2022)
Quddus, M. A., Kabli, M., & Marufuzzaman, M. (2019). Modeling electric vehicle charging station expansion with an integration of renewable energy and Vehicle-to-Grid sources. Transportation Research Part E: Logistics and Transportation
Review, 128, 251–279. https://doi.org/https://doi.org/10.1016/j.tre.2019.06.006
RUNT. (2019). Boletín de prensa 003 de 2019. https://www.runt.com.co/sites/default/files/Boletín%20de%20Prensa%2003%20de%202019.pdf
Ugirumurera, J., Haas, Z.J. (2017). Optimal capacity sizing for completely green charging systems for electric vehicles. IEEE
Transactions on Transportation Electrification, 3(3), 565–577. https://doi.org/10.1109/TTE.2017.2713098
United States Environmental Protection Agency. (2021). Carbon pollution from transportation [Online]. Available at: https://www.epa.gov/transportation-air-pollution-and-climate-change/carbon-pollution-transportation. (Accessed: 28 Jun 2022)
Van Rossum, G. (2020). The Python Library Reference, release 3.8.2. Python Software Foundation [Online]. Available at: https://www.python.org/downloads/release/python-382/. (Accessed: 30 Jun 2022)
Wang, S., Luo, F., Dong, Z.Y., Ranzi, G. (2019). Joint planning of active distribution networks considering renewable power uncertainty. International Journal of Electrical Power & Energy Systems 110, 696–704. https://doi.org/https://doi.org/10.1016/j.ijepes.2019.03.034