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Optimal planning of the Nordic transmission system with 100% electric vehicle penetration of passenger cars by 2050

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  • Graabak, Ingeborg
  • Wu, Qiuwei
  • Warland, Leif
  • Liu, Zhaoxi

Abstract

This paper presents the optimal planning of the Nordic backbone transmission system with 100% electric vehicle penetration of passenger cars by 2050. Electric vehicles will play an important role in the future energy systems and can reduce the greenhouse gas emission from the transport sector. However, the electric vehicles will increase the electricity consumption and might induce congestions in the transmission systems. In order to deal with the electricity consumption increase from the electric vehicle integration into the power system and maximize the social welfare, the optimal investments of the Nordic transmission system are studied. Case studies were conducted using the market simulation model EMPS (Efi's multi-area power market simulator) and two electric vehicle charging scenarios: a spot price based scenario and a dumb charging scenario. The electric vehicle charging power is assumed to be 3.68 kW with 1 phase 16 A. The complete electrification of the private passenger fleet increases the yearly power demand in the Nordic region with ca 7.5%. The profitable increases in transmission capacities are highest for dumb charging, but are very low for both dumb and spot price based charging compared to a Reference case.

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  • Graabak, Ingeborg & Wu, Qiuwei & Warland, Leif & Liu, Zhaoxi, 2016. "Optimal planning of the Nordic transmission system with 100% electric vehicle penetration of passenger cars by 2050," Energy, Elsevier, vol. 107(C), pages 648-660.
    • Handle: RePEc:eee:energy:v:107:y:2016:i:c:p:648-660
    DOI: 10.1016/j.energy.2016.04.060
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    1. Fernandes, Camila & Frías, Pablo & Latorre, Jesús M., 2012. "Impact of vehicle-to-grid on power system operation costs: The Spanish case study," Applied Energy, Elsevier, vol. 96(C), pages 194-202.
    2. Bellekom, Sandra & Benders, René & Pelgröm, Steef & Moll, Henk, 2012. "Electric cars and wind energy: Two problems, one solution? A study to combine wind energy and electric cars in 2020 in The Netherlands," Energy, Elsevier, vol. 45(1), pages 859-866.
    3. Wolfgang, Ove & Haugstad, Arne & Mo, Birger & Gjelsvik, Anders & Wangensteen, Ivar & Doorman, Gerard, 2009. "Hydro reservoir handling in Norway before and after deregulation," Energy, Elsevier, vol. 34(10), pages 1642-1651.
    4. Jian, Linni & Zheng, Yanchong & Xiao, Xinping & Chan, C.C., 2015. "Optimal scheduling for vehicle-to-grid operation with stochastic connection of plug-in electric vehicles to smart grid," Applied Energy, Elsevier, vol. 146(C), pages 150-161.
    5. Kiviluoma, Juha & Meibom, Peter, 2011. "Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles," Energy, Elsevier, vol. 36(3), pages 1758-1767.
    6. Kiviluoma, Juha & Meibom, Peter, 2010. "Influence of wind power, plug-in electric vehicles, and heat storages on power system investments," Energy, Elsevier, vol. 35(3), pages 1244-1255.
    7. Smith, William J., 2010. "Can EV (electric vehicles) address Ireland’s CO2 emissions from transport?," Energy, Elsevier, vol. 35(12), pages 4514-4521.
    8. Novosel, T. & Perković, L. & Ban, M. & Keko, H. & Pukšec, T. & Krajačić, G. & Duić, N., 2015. "Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling," Energy, Elsevier, vol. 92(P3), pages 466-475.
    9. Jaehnert, Stefan & Wolfgang, Ove & Farahmand, Hossein & Völler, Steve & Huertas-Hernando, Daniel, 2013. "Transmission expansion planning in Northern Europe in 2030—Methodology and analyses," Energy Policy, Elsevier, vol. 61(C), pages 125-139.
    10. Mullan, Jonathan & Harries, David & Bräunl, Thomas & Whitely, Stephen, 2011. "Modelling the impacts of electric vehicle recharging on the Western Australian electricity supply system," Energy Policy, Elsevier, vol. 39(7), pages 4349-4359, July.
    11. Dallinger, David & Gerda, Schubert & Wietschel, Martin, 2013. "Integration of intermittent renewable power supply using grid-connected vehicles – A 2030 case study for California and Germany," Applied Energy, Elsevier, vol. 104(C), pages 666-682.
    12. Yang, Zhile & Li, Kang & Foley, Aoife, 2015. "Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 396-416.
    13. Verzijlbergh, Remco & Brancucci Martínez-Anido, Carlo & Lukszo, Zofia & de Vries, Laurens, 2014. "Does controlled electric vehicle charging substitute cross-border transmission capacity?," Applied Energy, Elsevier, vol. 120(C), pages 169-180.
    Full references (including those not matched with items on IDEAS)

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    6. Runsen Zhang & Tatsuya Hanaoka, 2022. "Cross-cutting scenarios and strategies for designing decarbonization pathways in the transport sector toward carbon neutrality," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
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    8. Nunes, Juliana Barbosa & Mahmoudi, Nadali & Saha, Tapan Kumar & Chattopadhyay, Debabrata, 2018. "A stochastic integrated planning of electricity and natural gas networks for Queensland, Australia considering high renewable penetration," Energy, Elsevier, vol. 153(C), pages 539-553.
    9. Aritra Ghosh, 2020. "Possibilities and Challenges for the Inclusion of the Electric Vehicle (EV) to Reduce the Carbon Footprint in the Transport Sector: A Review," Energies, MDPI, vol. 13(10), pages 1-22, May.
    10. Philipp Andreas Gunkel & Claire Bergaentzl'e & Ida Gr{ae}sted Jensen & Fabian Scheller, 2020. "From passive to active: Flexibility from electric vehicles in the context of transmission system development," Papers 2011.05830, arXiv.org.
    11. Ramos Muñoz, Edgar & Razeghi, Ghazal & Zhang, Li & Jabbari, Faryar, 2016. "Electric vehicle charging algorithms for coordination of the grid and distribution transformer levels," Energy, Elsevier, vol. 113(C), pages 930-942.
    12. Antti Lajunen & Panu Sainio & Lasse Laurila & Jenni Pippuri-Mäkeläinen & Kari Tammi, 2018. "Overview of Powertrain Electrification and Future Scenarios for Non-Road Mobile Machinery," Energies, MDPI, vol. 11(5), pages 1-22, May.
    13. Sovacool, Benjamin K., 2017. "Contestation, contingency, and justice in the Nordic low-carbon energy transition," Energy Policy, Elsevier, vol. 102(C), pages 569-582.
    14. Shu, Tony & Papageorgiou, Dimitri J. & Harper, Michael R. & Rajagopalan, Srinivasan & Rudnick, Iván & Botterud, Audun, 2023. "From coal to variable renewables: Impact of flexible electric vehicle charging on the future Indian electricity sector," Energy, Elsevier, vol. 269(C).
    15. Manríquez, Francisco & Sauma, Enzo & Aguado, José & de la Torre, Sebastián & Contreras, Javier, 2020. "The impact of electric vehicle charging schemes in power system expansion planning," Applied Energy, Elsevier, vol. 262(C).
    16. Ning Zhang & Hongcai Dai & Yaohua Wang & Yunzhou Zhang & Yuqing Yang, 2021. "Power system transition in China under the coordinated development of power sources, network, demand response, and energy storage," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(2), March.
    17. Rahman, Syed & Khan, Irfan Ahmed & Khan, Ashraf Ali & Mallik, Ayan & Nadeem, Muhammad Faisal, 2022. "Comprehensive review & impact analysis of integrating projected electric vehicle charging load to the existing low voltage distribution system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    18. Gunkel, Philipp Andreas & Bergaentzlé, Claire & Græsted Jensen, Ida & Scheller, Fabian, 2020. "From passive to active: Flexibility from electric vehicles in the context of transmission system development," Applied Energy, Elsevier, vol. 277(C).
    19. Carrión, Miguel & Domínguez, Ruth & Cañas-Carretón, Miguel & Zárate-Miñano, Rafael, 2019. "Scheduling isolated power systems considering electric vehicles and primary frequency response," Energy, Elsevier, vol. 168(C), pages 1192-1207.
    20. Sovacool, Benjamin K. & Noel, Lance & Kester, Johannes & Zarazua de Rubens, Gerardo, 2018. "Reviewing Nordic transport challenges and climate policy priorities: Expert perceptions of decarbonisation in Denmark, Finland, Iceland, Norway, Sweden," Energy, Elsevier, vol. 165(PA), pages 532-542.
    21. Hanemann, Philipp & Behnert, Marika & Bruckner, Thomas, 2017. "Effects of electric vehicle charging strategies on the German power system," Applied Energy, Elsevier, vol. 203(C), pages 608-622.
    22. Qiwei Xu & Jianshu Huang & Yue Han & Yun Yang & Lingyan Luo, 2020. "A Study on Electric Vehicles Participating in the Load Regulation of Urban Complexes," Energies, MDPI, vol. 13(11), pages 1-23, June.
    23. Ahmadian, Amirhossein & Ghodrati, Vahid & Gadh, Rajit, 2023. "Artificial deep neural network enables one-size-fits-all electric vehicle user behavior prediction framework," Applied Energy, Elsevier, vol. 352(C).
    24. Li, Wei & Jia, Zhijie & Zhang, Hongzhi, 2017. "The impact of electric vehicles and CCS in the context of emission trading scheme in China: A CGE-based analysis," Energy, Elsevier, vol. 119(C), pages 800-816.
    25. Noel, Lance & Zarazua de Rubens, Gerardo & Sovacool, Benjamin K., 2018. "Optimizing innovation, carbon and health in transport: Assessing socially optimal electric mobility and vehicle-to-grid pathways in Denmark," Energy, Elsevier, vol. 153(C), pages 628-637.

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