A Novel Open-Source Simulator Of Electric Vehicles in a Demand-Side Management Scenario

Lucio Ciabattoni, Stefano Cardarelli, Marialaura Di Somma, Giorgio Graditi and Gabriele Comodi
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Lucio Ciabattoni: Information Engingeering Department, Università Politecnica delle Marche, 60131 Ancona, Italy
Stefano Cardarelli: Industrial Engingeering and Mathematical Sciences Department, Università Politecnica delle Marche, 60131 Ancona, Italy
Marialaura Di Somma: Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), 0010 Roma, Italy
Giorgio Graditi: Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), 0010 Roma, Italy
Gabriele Comodi: Industrial Engingeering and Mathematical Sciences Department, Università Politecnica delle Marche, 60131 Ancona, Italy

Energies, 2021, vol. 14, issue 6, 1-16

Abstract: Recently, due to the growth of the electric vehicle (EV) market, the investigation of grid-to-vehicle and vehicle-to-grid strategies has become a priority in both the electric mobility and distribution grid research areas. However, there is still a lack of large-scale data sets to test and deploy energy management strategies. In this paper, a fully customizable EV population simulator is presented as an attempt to fill this gap. The proposed tool is designed as a web simulator as well as a Matlab/Simulink block, in order to facilitate its integration in different projects and applications. It provides individual and aggregated charge, discharge and plugin/out event data for a population of EVs, considering both home and public charging stations. The population is generated on the basis of statistical data (which can be fully customized) including commuting distances, vehicle models, traffic and social behavior of the owners. A peak-shaving case study is finally proposed to show the potential of the simulator.

Keywords: electric vehicle simulator; demand side management; vehicle-to-grid; grid-to-vehicle; flexibility; aggregators (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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