Electric vehicles as flexibility management strategy for the electricity system—a comparison between different regions of Europe
Open accessAbstract
This study considers whether electric vehicles (EVs) can be exploited as a flexibility management strategy to stimulate investments in and operation of renewable electricity under stringent CO2 constraints in four regions with different conditions for renewable electricity (Sweden, Germany, the UK, and Spain). The study applies a cost-minimisation investment model and an electricity dispatch model of the European electricity system, assuming three types of charging strategies for EVs. The results show that vehicle-to-grid (V2G), i.e., the possibility to discharging the EV batteries back to grid, facilitates an increase in investments and generation from solar photovoltaics (PVs) compare to the scenario without EVs, in all regions except Sweden. Without the possibility to store electricity in EV batteries across different days, which is a technical limitation of this type of model, EVs increase the share of wind power by only a few percentage points in Sweden, even if Sweden is a region with good conditions for wind power. Full electrification of the road transport sector, including also dynamic power transfer for trucks and buses, would decrease the need for investments in peak power in all four regions by at least 50%, as compared to a scenario without EVs or with uncontrolled charging of EVs, provided that an optimal charging strategy and V2G are implemented for the passenger vehicles.
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The model does not consider congestions in the regional or local grids.
“the model does not consider congestions in the regional or local grids.”
From A large-scale high-resolution geographic analysis of impacts of electric vehicle charging on low-voltage grids (2022) · cites this paper as [39]
The modelling description (Renewable Technologies, page unavailable) represents countries as regions and includes transmission bottlenecks between them, so the claim is too broad if it includes regional transmission congestion. The described model does not represent congestion within those regions or in local grids. (LLM, conf=0.82)
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- Authors
- Taljegard, M., Göransson, L., Odenberger, M., & Johnsson, F.
- Affiliations
- Department of Space, Earth and Environment, Chalmers University of Technology, 412 96 Gothenburg, Sweden
- Chalmers University of Technology (SE)
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2019-07-05
- Volume
- 12
- Issue
- 13
- Pages
- 2597
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W2954279915
- Cited by
- 32
- References
- 18
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 7 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 3
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Energies (publishedVersion, cc-by)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Funders
- Statens vegvesen (47223323)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- electric vehicles, vehicle-to-grid, EV charging strategies, grid flexibility, photovoltaics, wind energy, electric mobility, power system dispatch
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