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Simulating the Impacts of Uncontrolled Electric Vehicle Charging in Low Voltage Grids

Author

Listed:
  • Sajjad Haider

    (Boysen-TU Dresden-Research Training Group, Chair of Electrical Power Supply, Technische Universität Dresden, 01062 Dresden, Germany)

  • Peter Schegner

    (Institute of Electrical Power Systems and High Voltage Engineering, Technische Universität Dresden, 01062 Dresden, Germany)

Abstract

Across the world, the impact of increasing electric vehicle (EV) adoption requires a better understanding. The authors hypothesize that the introduction of EV’s will cause significant overloading within low voltage distribution grids. To study this, several low voltage networks were reconstructed based on the literature and modelled using DigSilent Powerfactory, taking into account the stochastic variability of household electricity consumption, EV usage, and solar irradiance. The study incorporates two distinct usage scenarios—residential loads with varying EV penetrations without and with distributed grid tied generation of electricity. The Monte-Carlo simulation took into account population demographics and showed that in urban networks, EV introduction could lead to higher cable loading percentages than allowed, and in rural networks, this could lead to voltage drops beyond the allowed limits. Distributed generation (DG) in the form of solar power could significantly offset both these overloading characteristics, as well as the active and reactive power demands of the network, by between 10–50%, depending on the topology of the network.

Suggested Citation

  • Sajjad Haider & Peter Schegner, 2021. "Simulating the Impacts of Uncontrolled Electric Vehicle Charging in Low Voltage Grids," Energies, MDPI, vol. 14(8), pages 1-25, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2330-:d:539844
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    References listed on IDEAS

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    1. Fischer, David & Harbrecht, Alexander & Surmann, Arne & McKenna, Russell, 2019. "Electric vehicles’ impacts on residential electric local profiles – A stochastic modelling approach considering socio-economic, behavioural and spatial factors," Applied Energy, Elsevier, vol. 233, pages 644-658.
    2. Zhan Guo, 2013. "Residential Street Parking and Car Ownership," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(1), pages 32-48, January.
    3. Sajjad Haider & Peter Schegner, 2020. "Heuristic Optimization of Overloading Due to Electric Vehicles in a Low Voltage Grid," Energies, MDPI, vol. 13(22), pages 1-19, November.
    4. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
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    Cited by:

    1. Pampa Sinha & Kaushik Paul & Sanchari Deb & Sulabh Sachan, 2023. "Comprehensive Review Based on the Impact of Integrating Electric Vehicle and Renewable Energy Sources to the Grid," Energies, MDPI, vol. 16(6), pages 1-39, March.
    2. Tiago P. Abud & Andre A. Augusto & Marcio Z. Fortes & Renan S. Maciel & Bruno S. M. C. Borba, 2022. "State of the Art Monte Carlo Method Applied to Power System Analysis with Distributed Generation," Energies, MDPI, vol. 16(1), pages 1-24, December.
    3. Hauslbauer, Andrea L. & Schade, Jens & Petzoldt, Tibor, 2022. "The identification of mobility types on a national level," Transport Policy, Elsevier, vol. 125(C), pages 289-298.
    4. Will, Christian & Zimmermann, Florian & Ensslen, Axel & Fraunholz, Christoph & Jochem, Patrick & Keles, Dogan, 2023. "Can electric vehicle charging be carbon neutral? Uniting smart charging and renewables," Working Paper Series in Production and Energy 69, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    5. Haider, Sajjad & Rizvi, Rida e Zahra & Walewski, John & Schegner, Peter, 2022. "Investigating peer-to-peer power transactions for reducing EV induced network congestion," Energy, Elsevier, vol. 254(PB).

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