Recently, due to the increment of electric vehicles (EVs), the investigation of vehicle-to-grid paradigm strategies has become a key concern in both the electric mobility and distribution grid research areas. Indeed each EV can be seen as a distributed energy storage, thus giving to each customer a potential active role in the energy distribution scenario. However, there is still a lack of large scale data (often location dependant) to test and deploy energy management strategies for vehicle-to grid services. In this paper, a scalable EVs population simulator is presented as an attempt to fill this gap. The proposed tool provides individual and aggregated charge, discharge and plugin/-out events data of a custom geographically defined population of EVs, considering both home and public charging stations. The population is generated on the basis of statistical data (which can be obtained by data driven approaches or a priori assumptions) including commuting distances, vehicles models, traffic and social behavior of the owners.
A New Hybrid Software Tool for the Simulation of Energy Usage in a Population of Electric Vehicles / Ciabattoni, L.; Cardarelli, S.; Di Somma, M.; Graditi, G.; Comodi, G.. - (2020), pp. 1-6. (Intervento presentato al convegno 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 tenutosi a esp nel 2020) [10.1109/EEEIC/ICPSEurope49358.2020.9160648].
A New Hybrid Software Tool for the Simulation of Energy Usage in a Population of Electric Vehicles
Ciabattoni L.;Cardarelli S.;Di Somma M.;Comodi G.
2020-01-01
Abstract
Recently, due to the increment of electric vehicles (EVs), the investigation of vehicle-to-grid paradigm strategies has become a key concern in both the electric mobility and distribution grid research areas. Indeed each EV can be seen as a distributed energy storage, thus giving to each customer a potential active role in the energy distribution scenario. However, there is still a lack of large scale data (often location dependant) to test and deploy energy management strategies for vehicle-to grid services. In this paper, a scalable EVs population simulator is presented as an attempt to fill this gap. The proposed tool provides individual and aggregated charge, discharge and plugin/-out events data of a custom geographically defined population of EVs, considering both home and public charging stations. The population is generated on the basis of statistical data (which can be obtained by data driven approaches or a priori assumptions) including commuting distances, vehicles models, traffic and social behavior of the owners.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
