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Optimal Management of Energy Communities Hosting a Fleet of Electric Vehicles

Author

Listed:
  • Giovanni Gino Zanvettor

    (Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche, Università di Siena, 53100 Siena, Italy)

  • Marco Casini

    (Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche, Università di Siena, 53100 Siena, Italy)

  • Antonio Giannitrapani

    (Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche, Università di Siena, 53100 Siena, Italy)

  • Simone Paoletti

    (Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche, Università di Siena, 53100 Siena, Italy)

  • Antonio Vicino

    (Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche, Università di Siena, 53100 Siena, Italy)

Abstract

In this paper, we study the problem of managing an energy community hosting a fleet of electric vehicles for rent. On the day ahead, service requests for electric vehicles are submitted to the community. Then, the optimal request-to-vehicle assignment has to be found, as well as the optimal charging schedule of vehicle batteries. A suitable model is presented and included in an existing energy community architecture. The overall community management problem is formulated as a bi-level model, featuring two nested optimization problems. The optimal request-to-vehicle assignment requires the solution of a mixed-integer linear program. To reduce the computational complexity, a heuristic solution to the assignment problem is presented. Numerical results show that participation in the community grants a remarkable reduction in the electric vehicle charging cost. The adoption of the heuristic assignment solution provides a dramatic reduction in the computation time required to solve the bi-level model. At the same time, the level of suboptimality introduced appears to be negligible, being less than 1% in most of the considered cases.

Suggested Citation

  • Giovanni Gino Zanvettor & Marco Casini & Antonio Giannitrapani & Simone Paoletti & Antonio Vicino, 2022. "Optimal Management of Energy Communities Hosting a Fleet of Electric Vehicles," Energies, MDPI, vol. 15(22), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8697-:d:977747
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    References listed on IDEAS

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    Cited by:

    1. Giulia Palma & Leonardo Guiducci & Marta Stentati & Antonio Rizzo & Simone Paoletti, 2024. "Reinforcement Learning for Energy Community Management: A European-Scale Study," Energies, MDPI, vol. 17(5), pages 1-19, March.

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