Massive adoption of Electric Vehicles (EVs) could create issues in the electrical distribution system operation, in terms of currents and voltages. The analysis of the EV impact is a complex task, as the EVs loads are variable in space and time depending on people routines, traffic conditions and recharge strategies. In this paper, an agent-based tool is presented to study the evolution of a city system with different EV penetrations. The system representation is divided into a static part referring to the environment, and a dynamic part where EV agents interact with each other. This agent-based framework concurs in constructing a comprehensive bottom up approach to study the EV impacts.
Agent-based Modelling to Evaluate the Impact of Plug-in Electric Vehicles on Distribution Systems / Falco, Michele; Arrigo, Francesco; Mazza, Andrea; Bompard, ETTORE FRANCESCO; Chicco, Gianfranco. - ELETTRONICO. - (2019). (Intervento presentato al convegno 2019 International Conference on Smart Energy Systems and Technologies (SEST 2019) tenutosi a Porto (Portugal) nel 9 -11 September 2019) [10.1109/SEST.2019.8849123].
Agent-based Modelling to Evaluate the Impact of Plug-in Electric Vehicles on Distribution Systems
Francesco Arrigo;Andrea Mazza;Ettore Bompard;Gianfranco Chicco
2019
Abstract
Massive adoption of Electric Vehicles (EVs) could create issues in the electrical distribution system operation, in terms of currents and voltages. The analysis of the EV impact is a complex task, as the EVs loads are variable in space and time depending on people routines, traffic conditions and recharge strategies. In this paper, an agent-based tool is presented to study the evolution of a city system with different EV penetrations. The system representation is divided into a static part referring to the environment, and a dynamic part where EV agents interact with each other. This agent-based framework concurs in constructing a comprehensive bottom up approach to study the EV impacts.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2759964
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