Published November 5, 2024 | Version v1
Dataset Open

Simulation results of the co-simulation based analysis of the grid capacity for electric vehicles in "Am Ölper Berge" district in Lower Saxony, Germany

  • 1. Technische Universität Braunschweig
  • 2. ROR icon Oldenburger Institut für Informatik
  • 3. University of Applied Science Emden Leer
  • 4. Oldenburger Institut für Informatik (OFFIS)
  • 5. ROR icon Leibniz University Hannover
  • 6. Oldenburger Forschungs- und Entwicklungsinstitut für Informatik eV
  • 7. Carl von Ossietzky University of Oldenburg
  • 8. ROR icon University of Applied Sciences Emden Leer

Description

Simulation results for penetration of 49, 336 and 343 EVs within the "Am Ölper Berge" district in Brunswick, Lower Saxony, Germany. This includes the tracked values of the co-simulation models, e.g. power values. Besides this the grid snapshots, the resulting operational parameters of the electric are provided.

For every EV penetration rate, the configuration of the prosumer power systems (EV, EV_PV, EV_PV_STO and GRID_OBSV) and the charging strategies (uncontrolled/maximum power (max_P), forecast-based, solar charging and night charging) are altered.

For more information regarding the simulation scenarios see the publication:

H. Wagner et al., "Co-simulation-based analysis of the grid capacity for electric vehicles in districts: the case of “Am Ölper Berge” in Lower Saxony," in 6th E-Mobility Power System Integration Symposium (EMOB 2022), Hybrid Conference, The Hague, Netherlands, 2022, pp. 33–41. https://doi.org/10.1049/icp.2022.2713- 

Files

grid_snapshots.zip

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Additional details

Related works

Is supplement to
Conference paper: 10.1049/icp.2022.2713 (DOI)