Cited by 16Electric Vehicles and InfrastructureSmart Grid Energy ManagementElectric Power System Optimization

Flexibility potential quantification of electric vehicle charging clusters

Open access
Striani, Simone, Unterluggauer, Tim, Andersen, Peter Bach, Marinelli, Mattia·2024·Sustainable Energy, Grids and Networks

Abstract

A significant obstacle to providing flexibility services with electric vehicles (EVs) is the uncertainty surrounding the profitability and flexibility potential of charging clusters when utilized as a flexible load. Currently, there is a lack of comprehensive and easily applicable methods for quantifying flexibility in the literature. This paper introduces an evaluation tool and a set of flexibility indexes to assess the capability of charging clusters to deliver flexibility services. The method is designed to evaluate and quantify the flexibility potential of charging clusters in terms of short-term and long-term power adjustments and charge scheduling. Through sensitivity analysis, we examine how connection capacity, EV battery capacities, power capabilities, and the number of daily charging sessions influence the flexibility potential of charging clusters. Our findings highlight a direct relationship between the grid connection capacity of clusters and their ability to perform short-term power adjustments. Moreover, while larger batteries tend to reduce energy and time flexibility, their increased storage capability facilitates managing and scheduling a larger energy volume. Furthermore, for the days analysed, the flexibility potential showed minimal sensitivity to the number of daily charging sessions. Instead, the amount of energy requested and connection patterns emerge as key determinants of overall flexibility. In summary, this research provides valuable insights that…

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Crossref · 10.1016/j.segan.2024.101547

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  • The proposed model quantifies the adjustable flexibility of integrated resources, including PV, ESS, and EVs within FCS, providing a basis for real-time flexibility supply-demand balance evaluation.

    “Unlike previous approaches that focus primarily on individual resource optimization [9], [17], the proposed model quantifies the adjustable flexibility of integrated resources, including PV, ESS, and EVs within FCS, providing a basis for real-time flexibility supply-demand balance evaluation.”

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Authors
Striani, S., Unterluggauer, T., Andersen, P. B., & Marinelli, M.
Affiliations
Technical University of Denmark (DK)
Corresponding author
Striani, Simone
Venue
Sustainable Energy, Grids and Networks
Publisher
Elsevier BV
Published
2024-12
Volume
40
Pages
101547
ISSN
2352-4677 (ISSN-L)
OpenAlex
W4403460008
Cited by
16
References
0
Citations by year
2026: 7 · 2025: 9
FWCI
1.66
Type
journal article
Language
en
Open access
Locations
  • Sustainable Energy Grids and Networks (publishedVersion, cc-by)
  • Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, cc-by)
Funders
The Energy Technology Development and Demonstration Programme
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
Keywords
flexibility potential, flexible loads, flexibility index, charging scheduling, grid connection capacity, charging sessions, energy flexibility, temporal flexibility

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