Multi-objective optimization of electric vehicle charging considering market coupling in north-western Europe

With the rise in electric vehicle (EV) adoption, optimizing charging profiles is crucial for technical, economic, and environmental support, but existing studies often neglect several technical constraints in achieving this. This paper introduces a novel method to evaluate the trade-off between cost and emission reduction through smart EV charging across various scenarios. The proposed multi-objective optimization model incorporates technical limitations and user preferences, considering minimum charging current and state-of-charge limits. Additionally, a model for constructing marginal emission factors based on electricity market coupling is developed. Using detailed EV charging data, it assesses long-term optimization effectiveness over three distinct scenarios. Results show the base model achieves up to 24% cost and 30% emission reductions in unidirectional, and up to 112% and 165% in bidirectional charging. The second and third models achieve smaller cost and emission reductions when considering minimum charging currents and minimum state-of-charge user preferences requirements.

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Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2025-06-09
DOI
https://doi.org/10.1016/j.trd.2025.104829
Citations
3
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
2.19

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article

Multi-objective optimization of electric vehicle charging considering market coupling in north-western Europe

Ioannis Lampropoulos, Nico Brinkel, Wouter Schram, Parnian Alikhani et al.
3 citations
Transportation Research Part D Transport and Environment
Electric Vehicles and Infrastructure
2.19
article

Multi-objective optimization of electric vehicle charging considering market coupling in north-western Europe

Ioannis Lampropoulos, Nico Brinkel, Wouter Schram, Parnian Alikhani, Wilfried van Sark
article en
3 citations

Abstract

With the rise in electric vehicle (EV) adoption, optimizing charging profiles is crucial for technical, economic, and environmental support, but existing studies often neglect several technical constraints in achieving this. This paper introduces a novel method to evaluate the trade-off between cost and emission reduction through smart EV charging across various scenarios. The proposed multi-objective optimization model incorporates technical limitations and user preferences, considering minimum charging current and state-of-charge limits. Additionally, a model for constructing marginal emission factors based on electricity market coupling is developed. Using detailed EV charging data, it assesses long-term optimization effectiveness over three distinct scenarios. Results show the base model achieves up to 24% cost and 30% emission reductions in unidirectional, and up to 112% and 165% in bidirectional charging. The second and third models achieve smaller cost and emission reductions when considering minimum charging currents and minimum state-of-charge user preferences requirements.

Transportation Research Part D Transport and EnvironmentVol. 146
Utrecht University (NL), University of Twente (NL)
European Commission, Ministerie van Economische Zaken en Klimaat, Ministerie van Binnenlandse Zaken en Koninkrijksrelaties, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 12%
Electric Vehicles and Infrastructure
2.19
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