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Electric vehicle charging management system in the industrial zone

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The transportation sector is undergoing a profound transformation, shifting from fossil fuel reliance to electric and hybrid semi-electric alternatives. In response, European countries are implementing novel concepts like electrified highways for trucks and buses, bridging the gap between traditional and electric mobility. This paper centers on the management of electric vehicle (EV) charging infrastructure within industrial zones, crucial nodes for charging networks due to their concentrated economic activity and vehicular movement. The study delves into optimal strategies for deploying charging stations in these zones, considering factors such as station placement, capacity planning, and integration with smart grids to ensure efficient and accessible EV charging. Moreover, the research extends its focus to the integration of vehicle-to-grid (V2G) and grid-to-vehicle (G2V) technologies, illustrating their potential within industrial zones. In our research, we have developed algorithms tailored for the infrastructure of industrial zones, focusing on the integration of storage systems and the charging and discharging dynamics of electric vehicles (EVs). Our case study, supported by numerical simulations, illustrates the outcomes of a 24-hour timeframe, where 126 vehicles were charged, and 134 were discharged. The results provide a comprehensive view of how the grid-maintained balance throughout these operations, ensuring that industrial facilities received the required power to fulfill their operational demands.
Rocznik
Strony
433--450
Opis fizyczny
Bibliogr. 17 poz., rys., tab., wykr., wz.
Twórcy
autor
  • Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovakia
autor
  • Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovakia
autor
  • Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovakia
autor
  • Faculty of Electrical and Computer Engineering, Rzeszow University of Technology, al. Powstańcow Warszawy 12, 35-959 Rzeszow, Poland
Bibliografia
  • [1] Elon Musk, [Online], available at: https://www.tesla.com/elon-musk, accessed 7 December 2023.
  • [2] Hardman S., Jenn A., Tal G., Axsen J., Beard G., Daina N., Figenbaum E., Jakobsson N., Jochem P., Kinnear N., Plötz P., Pontes J., Refa N., Sprei F., Turrentine T., Witkamp B., A review of consumer preferences of and interactions with electric vehicle charging infrastructure, Transportation Research Part D: Transport and Environment, vol. 62, pp. 508–523 (2018), DOI: 10.1016/j.trd.2018.04.002.
  • [3] Richardson P., Flynn D., Keane A., Impact assessment of varying penetrations of electric vehicles on low voltage distribution systems, IEEE PES General Meeting, Minneapolis, MN, USA, pp. 1–6 (2010).
  • [4] Gray M.K., Morsi W.G., Power Quality Assessment in Distribution Systems Embedded with Plug-In Hybrid and Battery Electric Vehicles, IEEE Transactions on Power Systems, vol. 30, no. 2, pp. 663–671 (2015), DOI: 10.1109/TPWRS.2014.2332058.
  • [5] Leou R.C., Su C.L., Lu C.N., Stochastic analyses of electric vehicle charging impacts on distribution network, IEEE Transactions on Power Systems, vol. 29, no. 3, pp. 1055–1063 (2014), DOI: 10.1109/TPWRS.2013.2291556.
  • [6] Faddel S., Al-Awami A.T., Mohammed O.A., Charge Control and Operation of Electric Vehicles in Power Grids: A Review, Energies, vol. 11, no. 4, pp. 1–21 (2018), DOI: 10.3390/en11040701.
  • [7] Mehta R., Srinivasan D., Khambadkone A.M., Yang J., Trivedi A., Smart Charging Strategies for Optimal Integration of Plug-In Electric Vehicles Within Existing Distribution System Infrastructure, IEEE Transactions on Smart Grid, vol. 9, no. 1, pp. 299–312 (2018), DOI: 10.1109/TSG.2016.2550559.
  • [8] Rudawski M., Fatyga K., Kwasny L., Comparative study of DC/DC electric vehicle charging system with conventional transformer and planar transformer, Archives of Electrical Engineering, vol. 72, no. 2, pp. 339–355 (2023), DOI: 10.24425/aee.2023.145412.
  • [9] Venkataswamy R., Uma Rao K., Meena P., Transformer performance enhancement by optimized charging strategy for electric vehicles, Archives of Electrical Engineering, vol. 71, no. 1, pp. 37–56 (2022), DOI: 10.24425/aee.2022.140196.
  • [10] Hilshey A.D., Hines P.D.H., Rezaei P., Dowds J.R., Estimating the Impact of Electric Vehicle Smart Charging on Distribution Transformer Aging, IEEE Transactions on Smart Grid, vol. 4, no. 2, pp. 905–913 (2013), DOI: 10.1109/TSG.2012.2217385.
  • [11] Putrus G.A., Suwanapingkarl P., Johnston D., Bentley E.C., Narayana M., Impact of electric vehicles on power distribution networks, IEEE Vehicle Power and Propulsion Conference, Dearborn, MI, USA, pp. 827–831 (2009).
  • [12] Chen X., Jiang T., Bi M., Wang Z., Gao H., A review of condition assessment of charging infrastructure for electrical vehicles, IET International Conference on Intelligent and Connected Vehicles (ICV 2016), Chongqing, pp. 1–4 (2016).
  • [13] Xia L., Mareels I., Alpcan T., Brazil M., de Hoog J., Thomas D.A., A distributed electric vehicle charging management algorithm using only local measurements, ISGT 2014, Washington, DC, USA, pp. 1–5 (2014).
  • [14] Marcincin O., Medvec Z., Moldrik P., The impact of electric vehicles on distribution network, 18th International Scientific Conference on Electric Power Engineering (EPE), Kouty nad Desnou, Czech Republic, pp. 1–5 (2017).
  • [15] Morsalin S., Mahmud K., Town G., Electric vehicle charge scheduling using an artificial neural network, IEEE Innovative Smart Grid Technologies – Asia (ISGT-Asia), Melbourne, VIC, Australia, pp. 276–280 (2016).
  • [16] Holcsik P., Pálfi J., Čonka Z., Kocsis I.B., Fault Point Location Method, Based on Harmonics Analysis of a Distribution System, Acta Polytechnica Hungarica, vol. 19, no. 4, pp. 147–164 (2022), DOI: 10.12700/APH.19.4.2022.4.8.
  • [17] Tailor R., Design of Smart Network in Industrial Zone, PhD Thesis, Department of Electric Power Engineering, Technical University of Kosice, Kosice (2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f25034aa-dd35-4f1e-b249-5331aa3352e5
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