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.

Electrical and Economic Model of Electric Vehicle Charging Stations in a Multi-Agent Environment

Mantese, Luca;Bignucolo, Fabio
;
Albano, Maurizio;
2025

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.
2025
2025 60th International Universities Power Engineering Conference, UPEC 2025
60th International Universities Power Engineering Conference, UPEC 2025
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3586878
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