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Multi-agent Simulation of Intelligent Energy Regulation in Vehicle-to-Grid

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Multi-Agent-Based Simulation XXIV (MABS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14558))

Abstract

The vehicle-to-grid feature of today’s electric vehicles suggests using them as batteries for stabilizing the power grid besides using them to fulfill mobility needs. In the context of car-sharing, the car-sharing provider may thus try to foster two goals: they may be interested in stabilizing the grid and ensuring the usage of as much green energy as possible. At the same time, they try to maximize satisfaction of the customer’s requests. As such, each car-sharing provider has to implement a policy on how to react to booking requests. On the other hand, customers may react to how mobility needs are fulfilled and adapt their booking strategy. In this paper, we study the problem of how to model elements of car-sharing providers as well as those of customers in a multi-agent simulation. We identify the principal elements and targets while leaving concrete simulations as future work.

This project was funded by the state of Schleswig-Holstein, Germany.

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Authors and Affiliations

  1. Institute for Software Engineering and Programming Languages, University of Lübeck, Ratzeburger Allee 160, Lübeck, Germany

    Aliyu Tanko Ali, Andreas Schuldei & Martin Leucker

  2. Institute for Multimedia and Interactive Systems, University of Lübeck, Ratzeburger Allee 160, Lübeck, Germany

    Tim Schrills, Leonard Stellbrink, André Calero Valdez & Thomas Franke

Authors
  1. Aliyu Tanko Ali
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  2. Tim Schrills
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  3. Andreas Schuldei
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  4. Leonard Stellbrink
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  5. André Calero Valdez
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  6. Martin Leucker
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  7. Thomas Franke
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Correspondence to Aliyu Tanko Ali .

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Editors and Affiliations

  1. Clermont Auvergne University, Saint‐Étienne, France

    Luis G. Nardin

  2. Grantham Research Institute on Climate Change and the Environment, London, UK

    Sara Mehryar

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Ali, A.T. et al. (2024). Multi-agent Simulation of Intelligent Energy Regulation in Vehicle-to-Grid. In: Nardin, L.G., Mehryar, S. (eds) Multi-Agent-Based Simulation XXIV. MABS 2023. Lecture Notes in Computer Science(), vol 14558. Springer, Cham. https://doi.org/10.1007/978-3-031-61034-9_11

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  • DOI: https://doi.org/10.1007/978-3-031-61034-9_11

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  • Online ISBN: 978-3-031-61034-9

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