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Aggregate Peak EV Charging Demand: The Impact of Segmented Network Tariffs (2403.12215v2)

Published 18 Mar 2024 in eess.SY and cs.SY

Abstract: Aggregate peak Electric Vehicle (EV) charging demand is a matter of growing concern for network operators as it severely limits the network's capacity, preventing its reliable operation. Various tariff schemes have been proposed to limit peak demand by incentivizing flexible asset users to shift their demand from peak periods. However, fewer studies quantify the effect of these tariff schemes on the aggregate level. In this paper, we compare the effect of a multi-level segmented network tariff with and without dynamic energy prices for individual EV users on the aggregate peak demand. Results based on real charging transactions from over 1200 public charging points in the Netherlands show that the segmented network tariff with flat energy prices results in more diverse load profiles with increasing aggregation, as compared to cost-optimized dispatch based on only dynamic day-ahead energy prices. When paired with dynamic energy prices, the segmented tariff still outperforms only dynamic energy price-based tariffs in reducing peaks. Results show that a balance between power thresholds and price per threshold is crucial in designing a suitable tariff, taking into account the needs of the power network. We also provide valuable insights to network operators by calculating the diversity factor for various peak demands per charging point.

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References (27)
  1. M. Yuan, J. Z. Thellufsen, H. Lund, and Y. Liang, “The electrification of transportation in energy transition,” Energy, vol. 236, p. 121564, 2021.
  2. P. Barman, L. Dutta, S. Bordoloi, A. Kalita, P. Buragohain, S. Bharali, and B. Azzopardi, “Renewable energy integration with electric vehicle technology: A review of the existing smart charging approaches,” Renewable and Sustainable Energy Reviews, vol. 183, p. 113518, 2023.
  3. H. S. Das, M. M. Rahman, S. Li, and C. Tan, “Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review,” Renewable and Sustainable Energy Reviews, vol. 120, p. 109618, 2020.
  4. F. G. Venegas, M. Petit, and Y. Perez, “Active integration of electric vehicles into distribution grids: Barriers and frameworks for flexibility services,” Renewable and Sustainable Energy Reviews, vol. 145, p. 111060, 2021.
  5. F. Verbist, N. K. Panda, P. P. Vergara, and P. Palensky, “Impact of dynamic tariffs for smart EV charging on LV distribution network operation,” in 2023 IEEE Power & Energy Society General Meeting (PESGM), 2023, pp. 1–5.
  6. N. K. Panda and S. H. Tindemans, “Quantifying the aggregate flexibility of ev charging stations for dependable congestion management products: A dutch case study,” arXiv preprint arXiv:2403.13367, 2024.
  7. M. van Amstel, “Flexibility system design for electric vehicles: performing congestion management for the dso,” EngD Thesis, University of Twente, Netherlands, Dec. 2018.
  8. C. Eid, E. Koliou, M. Valles, J. Reneses, and R. Hakvoort, “Time-based pricing and electricity demand response: Existing barriers and next steps,” Utilities Policy, vol. 40, pp. 15–25, 2016.
  9. F. Daneshzand, P. J. Coker, B. Potter, and S. T. Smith, “Ev smart charging: how tariff selection influences grid stress and carbon reduction,” Applied Energy, vol. 348, p. 121482, 2023.
  10. G. Fitzgerald and C. Nelder, “Evgo fleet and tariff analysis: Phase 1: California,” 2017.
  11. J. Y. Yong, W. S. Tan, M. Khorasany, and R. Razzaghi, “Electric vehicles destination charging: An overview of charging tariffs, business models and coordination strategies,” Renewable and Sustainable Energy Reviews, vol. 184, p. 113534, 2023.
  12. J. Tuunanen, S. Honkapuro, and J. Partanen, “Power-based distribution tariff structure: Dso’s perspective,” in 2016 13th International Conference on the European Energy Market (EEM).   IEEE, 2016, pp. 1–5.
  13. A. Rautiainen, K. Lummi, A. Supponen, J. Koskela, S. Repo, P. Järventausta, S. Honkapuro, J. Partanen, J. Haapaniemi, J. Lassila et al., “Reforming distribution tariffs of small customers: Targets, challenges and impacts of implementing novel tariff structures,” in International Conference and Exhibition on Electricity Distribution.   CIRED, 2017, p. 0887.
  14. K. Lummi, A. Rautiainen, P. Järventausta, P. Heine, J. Lehtinen, and M. Hyvärinen, “Cost-causation based approach in forming power-based distribution network tariff for small customers,” in 2016 13th International Conference on the European Energy Market (EEM).   IEEE, 2016, pp. 1–5.
  15. K. Lummi, A. Rautiainen, P. Järventausta, P. Heine, J. Lehtinen, R. Apponen, and M. Hyvärinen, “Variations of power charge basis of power-based distribution tariff of small customers,” in 2016 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia).   IEEE, 2016, pp. 478–484.
  16. Lummi, Kimmo and Rautiainen, Antti and Järventausta, Pertti and Heine, Pirjo and Lehtinen, Jouni and Apponen, Roope and Hyvärinen, Markku, “Analysis of transition steps towards power-based distribution tariff of small customers,” in International Conference and Exhibition on Electricity Distribution.   CIRED, 2017, p. 0908.
  17. L. van Cappellen, “Variable network tariffs in the lv-network,” 2019.
  18. R. van Rossum, “Designing future-proof electricity distribution network tariffs in the netherlands: A comparative analysis of capacity based tariff structures,” 2021.
  19. R. Hennig, M. Jonker, S. Tindemans, and L. De Vries, “Capacity subscription tariffs for electricity distribution networks: Design choices and congestion management,” in 2020 17th International Conference on the European Energy Market (EEM).   IEEE, 2020, pp. 1–6.
  20. N. Li, R. A. Hakvoort, and Z. Lukszo, “Segmented energy tariff design for flattening load demand profile,” in 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe).   IEEE, 2020, pp. 849–853.
  21. N. Li, B. Kenneth, and S. H. Tindemans, “Residential demand-side flexibility provision under a multi-level segmented tariff,” in 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 2023.
  22. European Union Agency for the Cooperation of Energy Regulators, “Report on Electricity Transmission and Distribution Tariff Methodologies in Europe,” 2023, [accessed November 17, 2023]. [Online]. Available: https://www.acer.europa.eu/Publications/ACER_electricity_network_tariff_report.pdf
  23. ANWB, “How much does it cost to charge an electric car?” 2023, [accessed November 16, 2023]. [Online]. Available: https://www.anwb.nl/auto/elektrisch-rijden/wat-kost-het-opladen-van-een-elektrische-auto
  24. N. Brinkel, L. Visser, W. van Sark, and T. AlSkaif, “A novel forecasting approach to schedule aggregated electric vehicle charging,” Energy and AI, vol. 14, p. 100297, 2023. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2666546823000691
  25. ENTSO-E, “Central collection and publication of electricity generation, transportation and consumption data and information for the pan-european market.” [Online]. Available: https://transparency.entsoe.eu/
  26. U. C. Chukwu, O. A. Nworgu, and D. O. Dike, “Impact of v2g penetration on distribution system components using diversity factor,” in IEEE SOUTHEASTCON 2014.   IEEE, 2014, pp. 1–8.
  27. M. Sun, Y. Wang, G. Strbac, and C. Kang, “Probabilistic peak load estimation in smart cities using smart meter data,” IEEE Transactions on Industrial electronics, vol. 66, no. 2, pp. 1608–1618, 2018.
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