Abstract
This paper proposes the exploitation of simulation techniques to evaluate energy optimization strategies in smart micro-grids. In particular, a container based deployment approach allows for running simulations in the Cloud, evaluating multiple scenarios and optimization algorithms. Here we present both the simulator technology and an original two-phases optimization algorithm that computes a sub-optimal solution in real time. We introduce a simple scenario with real data.
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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., Venticinque, S. (2021). Container Based Simulation of Electric Vehicles Charge Optimization. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-030-75078-7_13
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DOI: https://doi.org/10.1007/978-3-030-75078-7_13
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