Abstract
This paper proposes a suboptimal tour-and-charging scheduler for electric vehicles which need to select a DC charging station on their single day trips. As a variant of the traveling salesman problem, the tour scheduler finds a visiting order for a given set of destinations and one of any charging stations. To reduce the search space stemmed from a larger number of candidate stations, our distance-based heuristic finds first the nearest destination from each charging station, and calculates the distance between them. Then, m′ out of the whole m candidates will be filtered according to the distance. The reduced number of candidates, namely, m′, combined with constraint processing on the waiting time, significantly cuts down the execution time for tour schedule generation. The performance measurement result obtained from a prototype implementation reveals that the proposed scheme just brings at most 4.1 % increase in tour length and its accuracy is at least 0.4 with 5 picks, for the given parameter selection.
This research was financially supported by the Ministry of Knowledge Economy (MKE), Korea Institute for Advancement of Technology (KIAT) through the Inter-ER Cooperation Projects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Timpner, J., Wolf, L.: Design and evaluation of charging station scheduling strategies for electric vehicles. IEEE Transactions on Intelligent Transportation Systems 15(2), 579–588 (2014)
Mischinger, S., Hennings, W., Strunz, K.: Integration of surplus wind energy by controlled charging of electric vehicles. In: 3rd IEEE PES Innovative Smart Grid Technologies Europe (2012)
Botsford, C., Szczepanek, A.: Fast charging vs. slow charging: Pros and cons for the new age of electric vehicles. In: International Battery Hybrid Fuel Cell Electric Vehicle Symposium (2009)
Veneri, O., Capasso, C., Ferraro, L., Pizzo, A.: Performance analysis on a power architecture for EV ultra-fast charging stations. In: International Conference on Clean Electrical Power, pp. 183–188 (2013)
Vedova, M., Palma, E., Facchinetti, T.: Electric load as real-time tasks: An application of real-time physical systems. In: International Wireless Communications and Mobile Computing Conference, pp. 1117–1123 (2011)
Shim, V., Tan, K., Tan, K.: A hybrid estimation of distribution algorithm for solving the multi-objective multiple traveling salesman problem. In: IEEE World Congress on Computational Intelligence (2012)
Ramchrun, S., Vytelingum, R., Rogers, A., Jennings, N.: Putting the ‘smarts’ into the smart grid: A grand challenge for artificial intelligence. Communications of the ACM 55(4), 86–97 (2012)
Mehar, S., Remy, G.: EV-planning: Electric vehicle itinerary planning. In: International Conference on Smart Communications in Network Technologies (2013)
Bessler, S., Grønbæk, J.: Routing EV users towards an optimal charging plan. In: International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium (2012)
Vansteenwegen, P., Souffriau, W., Berghe, G., Oudheusden, D.: The City trip planner: An expert system for tourists. Expert Systems with Applications 38, 6540–6546 (2011)
Andrandt, A., Andersen, P., Pedersen, A., You, A., Poulsen, B., O’Cornel, N., Østergaard, J.: Prediction and optimization methods for electric vehicle charging schedules in the Edison project. IEEE Transactions on Smart Grid, 111–119 (2011)
Ortega-Vazquez, M., Bouffard, F., Silva, V.: Electric vehicle aggregator/system operator coordination for charging scheduling and services procurement. IEEE Transactions on Power Systems 28(2), 1806–1815 (2013)
Kisacikoglu, M., Ozpineci, B., Tolbert, L.: EV/PHEV bidirectional charger assessment for V2G reactive power operation. IEEE Transactions on Power Electronics 28(12), 5717–5727 (2013)
Hamidi, A., Weber, L., Nasiri, A.: EV charging station integrating renewable energy and second-life battery. In: International Conference on Renewable Energy Research and Applications, pp. 1217–1221 (2013)
Lee, J., Park, G.: A tour recommendation service for electric vehicles based on a hybrid orienteering model. In: ACM Symposium on Applied Computing, pp. 1652–1654 (2013)
Lee, J., Park, G.: DC charger selection scheme for electric vehicle-based tours visiting multiple destinations. In: ACM Research in Applied Computation Symposium (to appear, 2014)
Lee, J., Park, G.-L.: Design of a multi-day tour-and-charging scheduler for electric vehicles. In: Ramanna, S., Lingras, P., Sombattheera, C., Krishna, A. (eds.) MIWAI 2013. LNCS, vol. 8271, pp. 108–118. Springer, Heidelberg (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Lee, J., Park, GL. (2014). Distance-Based Heuristic in Selecting a DC Charging Station for Electric Vehicles. In: Murty, M.N., He, X., Chillarige, R.R., Weng, P. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2014. Lecture Notes in Computer Science(), vol 8875. Springer, Cham. https://doi.org/10.1007/978-3-319-13365-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-13365-2_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13364-5
Online ISBN: 978-3-319-13365-2
eBook Packages: Computer ScienceComputer Science (R0)