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The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid

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  • Riccardo Iacobucci

    (Graduate School of Energy Science, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan)

  • Benjamin McLellan

    (Graduate School of Energy Science, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan)

  • Tetsuo Tezuka

    (Graduate School of Energy Science, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan)

Abstract

The introduction of shared autonomous electric vehicles (SAEVs), expected within the next decade, can transform the car into a service, accelerate electrification of the transport sector, and allow for large scale control of electric vehicle charging. In this work, we investigate the potential for this system to provide aggregated storage when combined with intermittent renewable energy sources. We develop a simulation methodology for the optimization of vehicle charging in the context of a virtual power plant or microgrid, with and without grid connection or distributed dispatchable generators. The model considers aggregate storage availability from vehicles based on transport patterns taking into account the necessary vehicle redistribution. We investigate the case of a grid-connected VPP with rooftop solar and the case of a isolated microgrid with solar, wind, and dispatchable generation. We conduct a comprehensive sensitivity analysis to study the effect of several parameters on the results for both cases.

Suggested Citation

  • Riccardo Iacobucci & Benjamin McLellan & Tetsuo Tezuka, 2018. "The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid," Energies, MDPI, vol. 11(8), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2016-:d:161597
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    References listed on IDEAS

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    Cited by:

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    5. Keček, Damira & Mikulić, Davor & Lovrinčević, Željko, 2019. "Deployment of renewable energy: Economic effects on the Croatian economy," Energy Policy, Elsevier, vol. 126(C), pages 402-410.
    6. Yu, Qing & Wang, Zhen & Song, Yancun & Shen, Xinwei & Zhang, Haoran, 2024. "Potential and flexibility analysis of electric taxi fleets V2G system based on trajectory data and agent-based modeling," Applied Energy, Elsevier, vol. 355(C).
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    8. Riccardo Iacobucci & Raffaele Bruno & Jan-Dirk Schmöcker, 2021. "An Integrated Optimisation-Simulation Framework for Scalable Smart Charging and Relocation of Shared Autonomous Electric Vehicles," Energies, MDPI, vol. 14(12), pages 1-22, June.
    9. Géremi Gilson Dranka & Paula Ferreira, 2020. "Electric Vehicles and Biofuels Synergies in the Brazilian Energy System," Energies, MDPI, vol. 13(17), pages 1-22, August.
    10. Zekai Xu & Jinghan He & Zhao Liu & Zhiyi Zhao, 2023. "Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution," Energies, MDPI, vol. 16(13), pages 1-23, July.
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    12. Papaix, Claire & Eranova, Mariya & Zhou, Li, 2023. "Shared mobility research: Looking through a paradox lens," Transport Policy, Elsevier, vol. 133(C), pages 156-167.

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