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

Authors: Wagner, Henrik; Penaherrera, Fernando; Fayed, Sarah; Werth, Oliver; Eckhoff, Sarah; Engel, Bernd; Breitner, Michael; +2 Authors

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

Abstract

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- 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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