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Grid integration of DC fast-charging stations for EVs by using modular li-ion batteries

Grid integration of DC fast-charging stations for EVs by using modular li-ion batteries

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Widespread use of electric vehicles (EVs) requires investigating impacts of vehicles’ charging on power systems. This study focuses on the design of a new DC fast-charging station (DCFCS) for EVs combined with local battery energy storages (BESs). Owing to the BESs, the DCFCS is able to decouple the peak load demand caused by multiple EVs and decrease the installation costs as well as the connection fees. The charging system is equipped with a bidirectional alternating current/direct current (DC) converter, two lithium-ion batteries and a DC/DC converter. The introduction of BES within the DCFCSs is investigated with regard to operational costs of the CSs as well as the ability of a BES to mitigate negative impacts on the power grid during congestion hours. The proposed solution is shown to reduce not only the installation costs, but also the charging time and it facilitates the integration of fast chargers in existing low-voltage grids. A cost–benefit analysis is performed to evaluate the financial feasibility of BES within the DCFCSs by considering the installation costs, grid connection costs and battery life cycle costs.

References

    1. 1)
      • 1. Fernando, S.: ‘Lithium-ion batteries: fundamentals and applications’, IEEE Ind. Electron. Mag., 2016, 10, (1), pp. 5859.
    2. 2)
      • 2. Kassing, P., Sumper, A., Müller, T., et al: ‘Battery storage systems feasibility study for revenue models in Germany’, IEEE Int. Conf. on Modern Power Systems (MPS), Cluj-Napoca, Romania, June 2017, pp. 15.
    3. 3)
      • 3. Nykvist, B., Nilsson, M.: ‘Rapidly falling costs of battery packs for electric vehicles’. Nature Climate Change 5.4, IEEE Conf., 2015, 5, (4), pp. 329332.
    4. 4)
      • 4. Nordhavn project: ‘Design – dimensioning of the energy infrastructure of future sustainable cities’, 2018, Available at http://www.energylabnordhavn.dk.
    5. 5)
      • 5. Papadaskalopoulos, D., Strbac, G.: ‘Nonlinear and randomized pricing for distributed management of flexible loads’, IEEE Trans. Smart Grid, 2016, 7, (2), pp. 11371146.
    6. 6)
      • 6. Behboodi, S., Chassin, D., Crawford, C.: ‘Electric vehicle participation in transactive power systems using real-time retail prices’, 49th Hawaii Int. Conf. on System Sciences (HICSS), Koloa, HI, USA, January 2016, pp. 24002407.
    7. 7)
      • 7. IEC 61851: ‘Conductive charging system/DC EV charging station’, version 2017.
    8. 8)
      • 8. International Energy Agency's: ‘Nordic electric vehicle outlook’, 2018.
    9. 9)
      • 9. Liu, Z., Wu, Q., Nielsen, A.H., et al: ‘Day-ahead energy planning with 100% electric vehicle penetration in the Nordic region by 2050’, Energies, 2015, 28, (1), pp. 102110.
    10. 10)
      • 10. Zenginis, I., Vardakas, J., Zorba, N., et al: ‘Performance evaluation of a multi-standard fast charging station for electric vehicles’, IEEE Trans. Smart Grid, 2017.
    11. 11)
      • 11. Tan, J., Wang, L.: ‘Real-time charging navigation of electric vehicles to fast charging stations: a hierarchical game approach’, IEEE Trans. Smart Grid, 2017.
    12. 12)
      • 12. Liu, Z., Wen, F., Ledwich, G.: ‘Optimal planning of electric-vehicle charging stations in distribution systems’, IEEE Trans. Power Deliv., 2013.
    13. 13)
      • 13. Jia, L., Hu, Z., Song, Y., et al: ‘Optimal siting and sizing of electric vehicle charging stations’. IEEE Int. Electric Vehicle Conf., Greenville, SC, USA, March 2012.
    14. 14)
      • 14. Sheppard, C.J.R., Harris, A., Gopal, A.R.: ‘Cost-effective siting of electric vehicle charging infrastructure with agent-based modeling’, IEEE Trans. Transp. Electrification, 2016, 2, (3), pp. 174189.
    15. 15)
      • 15. Huo, Y., Bouffard, F., Joós, G.: ‘An energy management approach for electric vehicle fast charging station’, IEEE Electrical Power and Energy Conf. (EPEC), Saskatoon, SK, Canada, 2017.
    16. 16)
      • 16. Bai, S., Lukic, S.M.: ‘Unified active filter and energy storage system for an MW electric vehicle charging station’, IEEE Trans. Power Electron., 2013, 28, (12), pp. 57935803.
    17. 17)
      • 17. Negarestani, S., Firuzabad, M., Rastegar, M., et al: ‘Optimal sizing of storage system in a fast charging station for plug-in hybrid electric vehicles’, IEEE Trans. Transp. Electrification, 2016, 2, (4), pp. 443453.
    18. 18)
      • 18. EvolvDSO: ‘Evaluation of the DSOs’ role, current architectures and future regulatory frameworks’, 2017, http://www.gridinnovation-on-line.eu/articles/library/evolvdso.kl.
    19. 19)
      • 19. Hannan, M.A., Hoque, M.M., Hussain, A., et al: ‘State-of-the-art and energy management system of lithium-ion batteries in electric vehicle applications: issues and recommendations’, IEEE Access, 2018, 6, pp. 1936219378.
    20. 20)
      • 20. IEC 15118: ‘Vehicle to grid communication interface’, version 2016.
    21. 21)
      • 21. IEC 62196: ‘Connectors for conductive charging of electric vehicles’, version 2016.
    22. 22)
      • 22. Clement-Nyns, K., Haesen, E., Driesen, J.: ‘The impact of vehicle-to-grid on the distribution grid’, Electr. Power Syst. Res., 2011, 81, (1), pp. 185192.
    23. 23)
      • 23. Hu, J., You, S., Lind, M., et al: ‘Coordinated charging of electric vehicles for congestion prevention in the distribution grid’, IEEE Trans. Smart Grid, 2014, 5, (2), pp. 703711.
    24. 24)
      • 24. Knezović, K., Marinelli, M., Andersen, P. B., et al: ‘Concurrent provision of frequency regulation and overvoltage support by electric vehicles in a real Danish low voltage network’. 2014 IEEE Int. Electric Vehicle Conf. (IEVC), Florence, Italy, December 2014, pp. 17.
    25. 25)
      • 25. Vardakas, J. S.: ‘Electric vehicles charging management in communication controlled fast charging stations’. Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Athens, Greece, December 2014, pp. 115119.
    26. 26)
      • 26. Electric vehicle lab: electric vehicle power system integration’. Available at http://www.powerlab.dk/Facilities/Electric-Vehicle-Lab.
    27. 27)
      • 27. IEC61850: ‘Communication/automation, part 90–8: object model for EV’, 2017.
    28. 28)
      • 28. Hayes, J. G., Abas Goodarzi, G.: ‘Electric power traction energy system, power electronics and drives for electric vehicles’ (Wiley, London, UK, 2017).
    29. 29)
      • 29. GS yuasa products’. Available at http://www.gsyuasa-lp.com/products.ht, 2017.
    30. 30)
      • 30. Setyawan, L., Xiao, J., Wang, P.: ‘Optimal depth-of-discharge range and capacity settings for battery energy storage in microgrid operation’, 2017 Asian Conf. on Energy, Power and Transp. Electrification (ACEPT), Singapore, Singapore, October 2017.
    31. 31)
      • 31. Zhou, B., Liu, X., Cao, Y., et al: ‘Optimal scheduling of virtual power plant with battery degradation cost’, IET Gener. Transm. Distrib., 2016, 10, (3), pp. 712725.
    32. 32)
      • 32. Xu, B., Oudalov, A., Ulbig, A., et al: ‘Modeling of lithium-ion battery degradation for cell life assessment’, IEEE Trans. Smart Grid, 2018, 9, (2), pp. 11311140.
    33. 33)
      • 33. Kaun, B., Chen, S.: ‘Cost-effectiveness of energy storage in California: application of the energy storage valuation tool to inform the California public utility commission proceeding R 10-12-007’ (EPRI, Palo Alto, CA, 2013), 3002001162.
    34. 34)
      • 34. Balducci, P., Jin, C., Wu, D., et al: ‘Assessment of energy storage alternatives in the Puget sound energy system volume 1: financial feasibility analysis’ (PNNL, Richland, WA, 2013).
    35. 35)
      • 35. Boardman, A., Greenberg, D., Vining, A., et al: ‘Cost benefit analysis: concepts and practice’ (Cambridge University Press,Cambridge, UK2018, 4th edn.).
    36. 36)
      • 36. Duggal, I., Bala Venkatesh, B.: ‘Short-term scheduling of thermal generators and battery storage with depth of discharge-based cost model’, IEEE Trans. Power Syst., 2015, 30, (4), pp. 21102118.
    37. 37)
      • 37. Rupolo, D., Pereira, B., Contreras, J., et al: ‘Medium- and low-voltage planning of radial electric power distribution systems considering reliability’, IET Gener. Transm. Distrib., 2017, 11, (9), pp. 22122221.
    38. 38)
      • 38. Knezović, K., Marinelli, M., Codani, P., et al: ‘Distribution grid services and flexibility provision by electric vehicles: a review of options’. 2015 Proc. 50th Intet Universities Power Engineering Conf. (UPEC), Staffordshire, 1–4 September 2015, pp. 16.
    39. 39)
      • 39. ABB High-Power Electric Vehicle Fast Charging Station. Available at http://www.abb.com/cawp/seitp202/c2ed43a8ef2e1de2c12581ae002d26b8.aspx, 2018.
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