The value of flexibility of commercial electric vehicle fleets in the redispatch of congested transmission grids
With the electrification of the transport sector, significant charging loads by the future commercial fleet are expected. The present work aims to give quantitative insight into how impactful the future charging loads of the battery-electric commercial fleet will be to the electricity system. We hereby focus on the day-ahead market and congestion management while applying the proposed modeling framework to the Austrian case with different shares of fleet electrification in 2040. The methodological framework encompasses the spatio-temporal modeling of charging loads as well as optimization models simulating the day-ahead market clearing and the implementation of redispatch measures. Results indicate increased costs for redispatch measures when the flexibility of the aggregated fleet is used in the cost-optimal dispatch. It is demonstrated that the flexibility of the charging processes can be effectively applied in congestion management and reduce redispatch costs by up to 35%, while optimal charging profiles are observed to vary depending on their geographic allocation. • Future charging profiles for the commercial fleet are modeled. • Traffic flow data is used to determine local charging demand. • Charging flexibility is used in dispatch and redispatch. • The integration of flexibility in the day-ahead market increases grid congestion. • Redispatch costs can be effectively decreased by utilizing charging flexibility.
Authors
- Sebastian Zwickl-Bernhard (ORCID: https://orcid.org/0000-0002-8599-6278)
- Christoph Loschan
- Hans Auer (ORCID: https://orcid.org/0000-0002-9111-9941)
- Antonia Golab (ORCID: https://orcid.org/0000-0001-9307-6669)
Institutions
- TU Wien (AT)
- Norwegian University of Science and Technology (NO)
Publication Details
- Journal
- Energy
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1016/j.energy.2025.134385
- Citations
- 2
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 1.46