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.
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Acknowledgements
Authors of this paper, on behalf of GreenCharge consortium, acknowledge the European Union and the Horizon 2020 Research and Innovation Framework Programme for funding the project (grant agreement no. 769016).
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Aversa, R., Branco, D., Di Martino, B., Iaiunese, L., Venticinque, S. (2022). Simulation and Evaluation of Charging Electric Vehicles in Smart Energy Neighborhoods. In: Barolli, L., Hussain, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2022. Lecture Notes in Networks and Systems, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-030-99619-2_61
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DOI: https://doi.org/10.1007/978-3-030-99619-2_61
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