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Container Based Simulation of Electric Vehicles Charge Optimization

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Advanced Information Networking and Applications (AINA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 227))

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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References

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Aknowledgements

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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Authors and Affiliations

  1. Department of Engineering, University of Campania, via Roma 29, 81031, Aversa, Italy

    Rocco Aversa, Dario Branco, Beniamino Di Martino & Salvatore Venticinque

Authors
  1. Rocco Aversa
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  2. Dario Branco
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  3. Beniamino Di Martino
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  4. Salvatore Venticinque
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Corresponding author

Correspondence to Salvatore Venticinque .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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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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