Electrical and economic model of electric vehicle charging stations in a multi-agent environment

Mantese, Luca, Bignucolo, Fabio, Albano, Maurizio ORCID: https://orcid.org/0000-0002-5486-4299 and Cipcigan, Liana Mirela ORCID: https://orcid.org/0000-0002-5015-3334 2025. Electrical and economic model of electric vehicle charging stations in a multi-agent environment. Presented at: UPEC 2025, London, UK, 02-05 September 2025. 2025 60th International Universities Power Engineering Conference (UPEC). IEEE, 10.1109/UPEC65436.2025.11279893

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Abstract

The paper presents the model development of a charging infrastructure with a multi-agent approach using AnyLogic software. The approach followed in modelling the agent representing electric vehicles is general and can be applied to a wide range of studies; in fact, charging and discharging processes have been described considering electrical constraints and allowing fine tuning of parameters to represent a wide range of vehicle types with different characteristics. Furthermore, the model developed also allows for testing different topologies of charging stations, e.g. a fast or slow charging facility and its associated charging cost. The result is a hybrid model combining agent-based modelling, system dynamics, and discrete-event modelling to optimally represent a small urban district in Cardiff for a feasibility study on street light charging and its equity impact assessment.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	In Press
Schools:	Schools > Engineering
Publisher:	IEEE
ISBN:	9798331565213
Last Modified:	08 Jan 2026 12:20
URI:	https://orca.cardiff.ac.uk/id/eprint/183569

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