The GreenCharge simulator reproduces in a virtual environment the events that occur in a real smart micro-grid using a collection of real measured data. It allows to extend the evaluation capability in real trials, which are usually limited in the heterogeneity and number of devices. It supports the integration of optimization modules for evaluating different energy management strategies. The simulator reproduce the scenario as a discrete sequence of events in time. In this paper we present the usage and the capability of the simulation tool using data collected from trials, which are operated in the Bremen pilot of the Greencharge project. We quantify the room for improvement, which can be introduced exploiting the users’s flexibility for charging their electric vehicles, evaluating a set of KPIs.
Simulation and Evaluation of Charging Electric Vehicles in Smart Energy Neighborhoods
Aversa R.;Di Martino B.;Venticinque S.
2022
Abstract
The GreenCharge simulator reproduces in a virtual environment the events that occur in a real smart micro-grid using a collection of real measured data. It allows to extend the evaluation capability in real trials, which are usually limited in the heterogeneity and number of devices. It supports the integration of optimization modules for evaluating different energy management strategies. The simulator reproduce the scenario as a discrete sequence of events in time. In this paper we present the usage and the capability of the simulation tool using data collected from trials, which are operated in the Bremen pilot of the Greencharge project. We quantify the room for improvement, which can be introduced exploiting the users’s flexibility for charging their electric vehicles, evaluating a set of KPIs.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
