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Evaluation of Grid Capacities for Integrating Future E-Mobility and Heat Pumps into Low-Voltage Grids

Author

Listed:
  • Bernd Thormann

    (Chair of Energy Network Technology, Department of Environmental and Energy Process Engineering, Montanuniversitaet Leoben, A-8700 Leoben, Austria)

  • Thomas Kienberger

    (Chair of Energy Network Technology, Department of Environmental and Energy Process Engineering, Montanuniversitaet Leoben, A-8700 Leoben, Austria)

Abstract

While an area-wide implementation of electric vehicles (EVs) and electric heat pumps (HPs) will contribute to a decarbonization of the energy system, they represent new challenges for existing low-voltage (LV) power grids. Hence, this study investigates potential grid congestions on the basis of three contrasting load approaches applied to four different grid regions. Within the three load approaches, temporal characteristics of various grid customer classes (EVs, HPs, households etc.) are derived from highly resolved realistic load profiles. In accordance with classic grid planning, firstly a static load approach is analyzed by applying the modeled coincidence for each consumer class individually. Secondly, this static approach is modified by including combined coincidence factors, taking temporal consumer class interactions into account. Finally, both static load approaches are compared with detailed annual time series analyses by means of load flow simulations using real-life LV grid data. The evaluation of inadmissible voltage characteristics and thermal congestions identifies future grid extension needs depending on the considered grid region. In addition, the variation of the applied load approach highlights the need to consider consumer-specific temporal behavior. In fact, by neglecting temporal interactions between conventional and future grid customers, the classic grid planning approach overestimates future grid extension needs. To counteract an oversizing of future grid structures, this paper presents a combined consideration of EVs’ and HPs’ coincidence as well as resulting grid consequences on the LV level.

Suggested Citation

  • Bernd Thormann & Thomas Kienberger, 2020. "Evaluation of Grid Capacities for Integrating Future E-Mobility and Heat Pumps into Low-Voltage Grids," Energies, MDPI, vol. 13(19), pages 1-30, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5083-:d:421371
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    Citations

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    Cited by:

    1. Damianakis, Nikolaos & Mouli, Gautham Ram Chandra & Bauer, Pavol & Yu, Yunhe, 2023. "Assessing the grid impact of Electric Vehicles, Heat Pumps & PV generation in Dutch LV distribution grids," Applied Energy, Elsevier, vol. 352(C).
    2. Enrico Dalla Maria & Mattia Secchi & David Macii, 2021. "A Flexible Top-Down Data-Driven Stochastic Model for Synthetic Load Profiles Generation," Energies, MDPI, vol. 15(1), pages 1-20, December.
    3. Peter Haidl & Armin Buchroithner, 2021. "Design of a Low-Loss, Low-Cost Rolling Element Bearing System for a 5 kWh/100 kW Flywheel Energy Storage System," Energies, MDPI, vol. 14(21), pages 1-28, November.
    4. Candas, Soner & Reveron Baecker, Beneharo & Mohapatra, Anurag & Hamacher, Thomas, 2023. "Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination," Applied Energy, Elsevier, vol. 343(C).
    5. Edmunds, Calum & Galloway, Stuart & Dixon, James & Bukhsh, Waqquas & Elders, Ian, 2021. "Hosting capacity assessment of heat pumps and optimised electric vehicle charging on low voltage networks," Applied Energy, Elsevier, vol. 298(C).
    6. Bernd Thormann & Thomas Kienberger, 2022. "Estimation of Grid Reinforcement Costs Triggered by Future Grid Customers: Influence of the Quantification Method (Scaling vs. Large-Scale Simulation) and Coincidence Factors (Single vs. Multiple Appl," Energies, MDPI, vol. 15(4), pages 1-26, February.
    7. Matthias Greiml & Florian Fritz & Josef Steinegger & Theresa Schlömicher & Nicholas Wolf Williams & Negar Zaghi & Thomas Kienberger, 2022. "Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution," Energies, MDPI, vol. 15(10), pages 1-33, May.
    8. Sebastian Schreck & Robin Sudhoff & Sebastian Thiem & Stefan Niessen, 2022. "On the Importance of Grid Tariff Designs in Local Energy Markets," Energies, MDPI, vol. 15(17), pages 1-25, August.
    9. Robin Sudhoff & Sebastian Schreck & Sebastian Thiem & Stefan Niessen, 2022. "Operating Renewable Energy Communities to Reduce Power Peaks in the Distribution Grid: An Analysis on Grid-Friendliness, Different Shares of Participants, and Economic Benefits," Energies, MDPI, vol. 15(15), pages 1-18, July.

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