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Investigation of the Impact of Large-Scale Integration of Electric Vehicles for a Swedish Distribution Network

Author

Listed:
  • Sylvester Johansson

    (Omexom, 653 50 Karlstad, Sweden)

  • Jonas Persson

    (Karlstads El- och Stadsnät, 651 84 Karlstad, Sweden)

  • Stavros Lazarou

    (Department of Electrical and Electronic Engineering Educators, School of Technological and Pedagogical Education (ASPETE), 141 21 Athens, Greece)

  • Andreas Theocharis

    (Department of Engineering and Physics, Karlstad University, 651 88 Karlstad, Sweden)

Abstract

Social considerations for a sustainable future lead to market demands for electromobility. Hence, electrical power distribution operators are concerned about the real ongoing problem of the electrification of the transport sector. In this regard, the paper aims to investigate the large-scale integration of electric vehicles in a Swedish distribution network. To this end, the integration pattern is taken into consideration as appears in the literature for other countries and applies to the Swedish culture. Moreover, different charging power levels including smart charging techniques are examined for several percentages of electric vehicles penetration. Industrial simulation tools proven for their accuracy are used for the study. The results indicate that the grid can manage about 50% electric vehicles penetration at its current capacity. This percentage decreases when higher charging power levels apply, while the transformers appear overloaded in many cases. The investigation of alternatives to increase the grid’s capabilities reveal that smart techniques are comparable to the conventional re-dimension of the grid. At present, the increased integration of electric vehicles is manageable by implementing a combination of smart gird and upgrade investments in comparison to technically expensive alternatives based on grid digitalization and algorithms that need to be further confirmed for their reliability for power sharing and energy management.

Suggested Citation

  • Sylvester Johansson & Jonas Persson & Stavros Lazarou & Andreas Theocharis, 2019. "Investigation of the Impact of Large-Scale Integration of Electric Vehicles for a Swedish Distribution Network," Energies, MDPI, vol. 12(24), pages 1-22, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4717-:d:296467
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    References listed on IDEAS

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    Cited by:

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    2. Peng, Ruoqing & Tang, Justin Hayse Chiwing G. & Yang, Xiong & Meng, Meng & Zhang, Jie & Zhuge, Chengxiang, 2024. "Investigating the factors influencing the electric vehicle market share: A comparative study of the European Union and United States," Applied Energy, Elsevier, vol. 355(C).
    3. Charukeshi Joglekar & Benedict Mortimer & Ferdinanda Ponci & Antonello Monti & Rik W. De Doncker, 2022. "SST-Based Grid Reinforcement for Electromobility Integration in Distribution Grids," Energies, MDPI, vol. 15(9), pages 1-17, April.
    4. Dillman, Kevin Joseph & Fazeli, Reza & Shafiei, Ehsan & Jónsson, Jón Örvar G. & Haraldsson, Hákon Valur & Davíðsdóttir, Brynhildur, 2021. "Spatiotemporal analysis of the impact of electric vehicle integration on Reykjavik's electrical system at the city and distribution system level," Utilities Policy, Elsevier, vol. 68(C).
    5. Fachrizal, Reza & Shepero, Mahmoud & Åberg, Magnus & Munkhammar, Joakim, 2022. "Optimal PV-EV sizing at solar powered workplace charging stations with smart charging schemes considering self-consumption and self-sufficiency balance," Applied Energy, Elsevier, vol. 307(C).
    6. Andreas Theocharis & Sahaphol Hamanee, 2022. "Battery Storage at the Secondary Distribution Electricity Grid by Investigating End-Users Load Demand Measurements," Energies, MDPI, vol. 15(8), pages 1-24, April.
    7. 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).
    8. Jong Hui Moon & Han Na Gwon & Gi Ryong Jo & Woo Yeong Choi & Kyung Soo Kook, 2020. "Stochastic Modeling Method of Plug-in Electric Vehicle Charging Demand for Korean Transmission System Planning," Energies, MDPI, vol. 13(17), pages 1-14, August.

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