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Validating State-Wide Charging Station Network Through Agent-Based Simulation

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Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection (PAAMS 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1838))

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Abstract

The electric car market in Europe is growing due to climate change awareness, expectations of fossil fuel depletion, and cost savings. However, the limited number of low-powered public charging stations in the case of Spain impedes longer interurban trips, causing “range anxiety” in users. Currently, there are proposals using genetic algorithms to design an optimal electric charging station network that satisfies the needs of all citizens in any region. The work presented in this paper aims to design and develop a simulation environment to test the allocation results of a genetic algorithm and compare them with the only fast charging station network of Tesla and other possible station distributions.

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Notes

  1. 1.

    https://xmpp.org.

  2. 2.

    http://project-osrm.org/.

  3. 3.

    Tesla enterprise website: https://www.tesla.com/ (accessed on 11/04/2023).

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Acknowledgements

This work is partially supported by grant PID2021-123673OB-C31 funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”. Pasqual Martí is supported by grant ACIF/2021/259 funded by the “Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital de la Generalitat Valenciana”. Jaume Jordán is supported by grant IJC2020-045683-I funded by MCIN/AEI/ 10.13039/501100011033 and by “European Union NextGenerationEU/PRTR”.

Author information

Authors and Affiliations

  1. Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Valencia, Spain

    Pasqual Martí, Jaime Llopis, Vicente Julian & Jaume Jordán

  2. Valencian Graduate School and Research Network of Artificial Intelligence, Universitat Politècnica de València, Valencia, Spain

    Vicente Julian

  3. ALGORITMI Centre, University of Minho, Braga, Portugal

    Paulo Novais

Authors
  1. Pasqual Martí
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  2. Jaime Llopis
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  3. Vicente Julian
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  4. Paulo Novais
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  5. Jaume Jordán
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Corresponding author

Correspondence to Pasqual Martí .

Editor information

Editors and Affiliations

  1. University of Minho, Braga, Portugal

    Dalila Durães

  2. University of Salamanca, Salamanca, Spain

    Alfonso González-Briones

  3. University Rey Juan Carlos, Mostoles, Spain

    Marin Lujak

  4. German International University, Cairo, Egypt

    Alia El Bolock

  5. ISEP/GECAD, Porto, Portugal

    João Carneiro

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Martí, P., Llopis, J., Julian, V., Novais, P., Jordán, J. (2023). Validating State-Wide Charging Station Network Through Agent-Based Simulation. In: Durães, D., González-Briones, A., Lujak, M., El Bolock, A., Carneiro, J. (eds) Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. PAAMS 2023. Communications in Computer and Information Science, vol 1838. Springer, Cham. https://doi.org/10.1007/978-3-031-37593-4_13

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  • DOI: https://doi.org/10.1007/978-3-031-37593-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37592-7

  • Online ISBN: 978-3-031-37593-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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