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Improving Electric Vehicle Charging Coordination Through Area Pricing

Author

Listed:
  • Christoph M. Flath

    (Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany)

  • Jens P. Ilg

    (Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany)

  • Sebastian Gottwalt

    (Forschungszentrum Informatik, 76131 Karlsruhe, Germany)

  • Hartmut Schmeck

    (Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany)

  • Christof Weinhardt

    (Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany)

Abstract

Meeting charging demands of large electric vehicle fleets will raise electrical load significantly and may pose challenges for today’s power system. Appropriate coordination of electric vehicle charging can reduce these threats. Acknowledging the interdependency between the transportation and the power system created by electric vehicles, we develop a charging coordination model based on German mobility data. We extend the prior work by explicitly accounting for both the temporal and the spatial dimension. We are thus able to analyze the loads from price-based EV fleet charging while at the same time accounting for distribution grid constraints. Furthermore, we propose a heuristic charging strategy based on limited trip and price information. Our results show that the sole use of time-based electricity prices for the coordination of electric vehicle charging produces high load spikes independent of the charging strategies and power levels. These peaks are induced by simultaneous charging activity and may cause stability problems within distribution grids in residential areas. To mitigate these load spikes, we introduce a spatial price component that reflects local capacity utilization. These local prices induce both a temporal and spatial shift of charging activity that mitigates the load spikes.

Suggested Citation

  • Christoph M. Flath & Jens P. Ilg & Sebastian Gottwalt & Hartmut Schmeck & Christof Weinhardt, 2014. "Improving Electric Vehicle Charging Coordination Through Area Pricing," Transportation Science, INFORMS, vol. 48(4), pages 619-634, November.
    • Handle: RePEc:inm:ortrsc:v:48:y:2014:i:4:p:619-634
    DOI: 10.1287/trsc.2013.0467
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    1. Göransson, Lisa & Karlsson, Sten & Johnsson, Filip, 2010. "Integration of plug-in hybrid electric vehicles in a regional wind-thermal power system," Energy Policy, Elsevier, vol. 38(10), pages 5482-5492, October.
    2. Holmberg, Pär & Newbery, David, 2010. "The supply function equilibrium and its policy implications for wholesale electricity auctions," Utilities Policy, Elsevier, vol. 18(4), pages 209-226, December.
    3. Newsham, Guy R. & Bowker, Brent G., 2010. "The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review," Energy Policy, Elsevier, vol. 38(7), pages 3289-3296, July.
    4. Ramteen Sioshansi, 2012. "OR Forum---Modeling the Impacts of Electricity Tariffs on Plug-In Hybrid Electric Vehicle Charging, Costs, and Emissions," Operations Research, INFORMS, vol. 60(3), pages 506-516, June.
    5. Sioshansi, Ramteen & Denholm, Paul & Jenkin, Thomas & Weiss, Jurgen, 2009. "Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects," Energy Economics, Elsevier, vol. 31(2), pages 269-277, March.
    6. Lund, Henrik & Kempton, Willett, 2008. "Integration of renewable energy into the transport and electricity sectors through V2G," Energy Policy, Elsevier, vol. 36(9), pages 3578-3587, September.
    7. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    8. Blumsack, Seth & Fernandez, Alisha, 2012. "Ready or not, here comes the smart grid!," Energy, Elsevier, vol. 37(1), pages 61-68.
    9. Lewis, Geoffrey McD., 2010. "Estimating the value of wind energy using electricity locational marginal price," Energy Policy, Elsevier, vol. 38(7), pages 3221-3231, July.
    10. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany," Utilities Policy, Elsevier, vol. 16(4), pages 284-291, December.
    11. Roger E. Bohn & Michael C. Caramanis & Fred C. Schweppe, 1984. "Optimal Pricing in Electrical Networks over Space and Time," RAND Journal of Economics, The RAND Corporation, vol. 15(3), pages 360-376, Autumn.
    12. Gottwalt, Sebastian & Ketter, Wolfgang & Block, Carsten & Collins, John & Weinhardt, Christof, 2011. "Demand side management—A simulation of household behavior under variable prices," Energy Policy, Elsevier, vol. 39(12), pages 8163-8174.
    13. Sioshansi, Ramteen & Fagiani, Riccardo & Marano, Vincenzo, 2010. "Cost and emissions impacts of plug-in hybrid vehicles on the Ohio power system," Energy Policy, Elsevier, vol. 38(11), pages 6703-6712, November.
    14. Clastres, Cédric, 2011. "Smart grids: Another step towards competition, energy security and climate change objectives," Energy Policy, Elsevier, vol. 39(9), pages 5399-5408, September.
    15. Richard Green, 2007. "Nodal pricing of electricity: how much does it cost to get it wrong?," Journal of Regulatory Economics, Springer, vol. 31(2), pages 125-149, April.
    16. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
    17. Cédric Clastres, 2011. "Smart grids : Another step towards competition, energy security and climate change objectives," Post-Print halshs-00617702, HAL.
    18. Rahul Nair & Elise Miller-Hooks, 2011. "Fleet Management for Vehicle Sharing Operations," Transportation Science, INFORMS, vol. 45(4), pages 524-540, November.
    19. Luca Bertolini & Frank le Clercq, 2003. "Urban Development without more Mobility by Car? Lessons from Amsterdam, a Multimodal Urban Region," Environment and Planning A, , vol. 35(4), pages 575-589, April.
    20. Michael A. Crew & Paul R. Kleindorfer, 1976. "Peak Load Pricing with a Diverse Technology," Bell Journal of Economics, The RAND Corporation, vol. 7(1), pages 207-231, Spring.
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    3. Tiankai Yang & Jixiang Wang & Yongliang Liang & Chuan Xiang & Chao Wang, 2023. "Economic Dispatch between Distribution Grids and Virtual Power Plants under Voltage Security Constraints," Energies, MDPI, vol. 17(1), pages 1-16, December.
    4. Steffen Limmer, 2019. "Dynamic Pricing for Electric Vehicle Charging—A Literature Review," Energies, MDPI, vol. 12(18), pages 1-24, September.
    5. Schoch, Jennifer & Gaerttner, Johannes & Schuller, Alexander & Setzer, Thomas, 2018. "Enhancing electric vehicle sustainability through battery life optimal charging," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 1-18.
    6. Christoph M. Flath & Sebastian Gottwalt, 2016. "Price-based load coordination revisited: augmenting open-loop coordination approaches," Business Research, Springer;German Academic Association for Business Research, vol. 9(1), pages 157-178, April.
    7. Steffen Limmer, 2019. "Evaluation of Optimization-Based EV Charging Scheduling with Load Limit in a Realistic Scenario," Energies, MDPI, vol. 12(24), pages 1-16, December.
    8. Zhan, Xingbin & Szeto, W.Y. & (Michael) Chen, Xiqun, 2022. "A simulation–optimization framework for a dynamic electric ride-hailing sharing problem with a novel charging strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
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    10. Strobel, Leo & Schlund, Jonas & Pruckner, Marco, 2022. "Joint analysis of regional and national power system impacts of electric vehicles—A case study for Germany on the county level in 2030," Applied Energy, Elsevier, vol. 315(C).
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    12. Alexandra Märtz & Uwe Langenmayr & Sabrina Ried & Katrin Seddig & Patrick Jochem, 2022. "Charging Behavior of Electric Vehicles: Temporal Clustering Based on Real-World Data," Energies, MDPI, vol. 15(18), pages 1-26, September.
    13. Verzijlbergh, R.A. & De Vries, L.J. & Dijkema, G.P.J. & Herder, P.M., 2017. "Institutional challenges caused by the integration of renewable energy sources in the European electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 660-667.
    14. Ensslen, Axel & Ringler, Philipp & Dörr, Lasse & Jochem, Patrick & Zimmermann, Florian & Fichtner, Wolf, 2018. "Incentivizing smart charging: Modeling charging tariffs for electric vehicles in German and French electricity markets," MPRA Paper 91543, University Library of Munich, Germany, revised 17 Feb 2018.
    15. Feifeng Zheng & Zhixin Wang & Zhaojie Wang & Ming Liu, 2023. "Daytime and Overnight Joint Charging Scheduling for Battery Electric Buses Considering Time-Varying Charging Power," Sustainability, MDPI, vol. 15(13), pages 1-19, July.

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