Impact of Lead Time on Aggregate EV Flexibility for Congestion Management Services

Increased electrification of energy end-usage can lead to network congestion during periods of high consumption. Flexibility of loads, such as aggregate smart charging of Electric Vehicles (EVs), is increasingly leveraged to manage grid congestion through various market-based mechanisms. Under such an arrangement, this paper quantifies the effect of lead time on the aggregate flexibility of EV fleets. Simulations using real-world charging transactions spanning over different categories of charging stations are performed for two flexibility products (redispatch and capacity limitations) when offered along with different business-as-usual (BAU) schedules. Results show that the variation of tradable flexibility depends mainly on the BAU schedules, the duration of the requested flexibility, and its start time. Further, the implication of these flexibility products on the average energy costs and emissions is also studied for different cases. Simulations show that bidirectional (V2G) charging outperforms unidirectional smart charging in all cases.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.1109/powertech59965.2025.11180392
Citations
1
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
1.21
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article

Impact of Lead Time on Aggregate EV Flexibility for Congestion Management Services

Peter Pálenský, Nanda Kishor Panda, Simon H. Tindemans
1 citations
Traffic control and management
1.21
article

Impact of Lead Time on Aggregate EV Flexibility for Congestion Management Services

Peter Pálenský, Nanda Kishor Panda, Simon H. Tindemans
article en
1 citations

Abstract

Increased electrification of energy end-usage can lead to network congestion during periods of high consumption. Flexibility of loads, such as aggregate smart charging of Electric Vehicles (EVs), is increasingly leveraged to manage grid congestion through various market-based mechanisms. Under such an arrangement, this paper quantifies the effect of lead time on the aggregate flexibility of EV fleets. Simulations using real-world charging transactions spanning over different categories of charging stations are performed for two flexibility products (redispatch and capacity limitations) when offered along with different business-as-usual (BAU) schedules. Results show that the variation of tradable flexibility depends mainly on the BAU schedules, the duration of the requested flexibility, and its start time. Further, the implication of these flexibility products on the average energy costs and emissions is also studied for different cases. Simulations show that bidirectional (V2G) charging outperforms unidirectional smart charging in all cases.

Delft University of Technology (NL)
Openalex Percentile: Top 16%
Traffic control and management
1.21
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Impact of Lead Time on Aggregate EV Flexibility for Congestion Management Services — Peter Pálenský, Nanda Kishor Panda, et al. · (2025) | TGRS Research Map | TGRS