Abstract
We study the problem of locating electric vehicle (EV) charging stations on road networks. We consider that the driving range, i.e. the maximum distance that a fully charged EV can travel before its battery runs empty, is subject to uncertainty and seek to maximize the expected coverage of the recharging demand. We first propose a new mixed-integer linear programming formulation for this stochastic optimization problem and compare it with a previously published one. We then develop a tabu search heuristic procedure to solve large-size instances of the problem. Our numerical experiments show that the new formulation leads to a better performance than the existing one and that the tabu search heuristic provides good quality solutions within short computation times.
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References
Tweed, K.: Fast charging key to electric vehicle adoption. www.greentechmedia.com. Accessed 18 Mar 2018
Kuby, M., Lim, S.: The flow-refueling location problem for alternative-fuel vehicles. Socio-Econ. Plan. Sci. 39, 125–145 (2005)
Upchurch, C., Kuby, M., Lim, S.: A model for location of capacitated alternative-fuel stations. Geogr. Anal. 41(1), 85–106 (2009)
Kim, J.G., Kuby, M.: The deviation-flow refueling location model for optimizing a network of refueling stations. Int. J. Hydrogen Energy 37, 5406–5420 (2012)
Lim, S., Kuby, M.: Heuristic algorithms for siting alternative-fuel stations using the flow-refueling location model. Eur. J. Oper. Res. 204, 51–61 (2010)
Lee, C., Han, J.: Benders-and-price approach for electric vehicle charging station location problem under probabilistic travel range. Transp. Res. Part B 106, 130–152 (2017)
De Vries, H., Duijzer, E.: Incorporating driving range variability in network design for refueling facilities. Omega 69, 102–114 (2017)
Capar, I., Kuby, M., Leon, V.J., Tsai, Y.-J.: An arc-cover path-cover formulation and strategic analysis of alternative-fuel station locations. Eur. J. Oper. Res. 227, 142–151 (2013)
Fotheringham, A., O’Kelly, M.: Spatial Interaction Models: Formulations and Applications. Kluwer Academic Publishers, Dordrecht (1989)
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Kchaou Boujelben, M., Gicquel, C. (2018). Location of Electric Vehicle Charging Stations Under Uncertainty on the Driving Range. In: Cerulli, R., Raiconi, A., Voß, S. (eds) Computational Logistics. ICCL 2018. Lecture Notes in Computer Science(), vol 11184. Springer, Cham. https://doi.org/10.1007/978-3-030-00898-7_32
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DOI: https://doi.org/10.1007/978-3-030-00898-7_32
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