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Coordinated pricing mechanism for parking clusters considering interval-guided uncertainty-aware strategies

Author

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  • Tostado-Véliz, Marcos
  • Jin, Xiaolong
  • Bhakar, Rohit
  • Jurado, Francisco

Abstract

With the increasing penetration of electric vehicles into the existing power networks, the development of proper energy management tools become essential to mitigate the damaging effects of emerging high-power charging modes. To facilitate the management of vehicles, they can be gathered into clusters in order to aggregate their charging profiles. This paradigm is called cluster of vehicles and can be forward developed by gathering a group of parking, thus forming a parking cluster where the characteristics of different parking lots are aggregated. In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The new proposal is casted as a game-based framework which seeks for the equilibrium between the cluster coordinator and parking lots, instead of conventional tools where the pricing strategy is decided by a central entity disregarding the interests of users. The developed model is established as a bi-level optimization problem, which is further linearized to be tractable and solvable by off-the-shelf solvers. The implications of vehicle-to-grid are also studied by fully modelling bi-directional power flows in chargers. In addition, two uncertainty-aware strategies are proposed to cope with uncertain energy margins in parking lots. A case study is conducted and various results are analysed and discussed. It is shown that enabling vehicle-to-grid characteristics discloses significant economic benefits for users and the cluster coordinator. In addition, vehicle-to-grid impacts notably on the risk-averse character of the uncertainty-aware strategies proposed. The developed pricing mechanism is also compared with the conventional pricing policies based on key of repartitions, showing that the new proposal is able to reduce the cost for users, avoiding to directly translate the energy cost to charging points.

Suggested Citation

  • Tostado-Véliz, Marcos & Jin, Xiaolong & Bhakar, Rohit & Jurado, Francisco, 2024. "Coordinated pricing mechanism for parking clusters considering interval-guided uncertainty-aware strategies," Applied Energy, Elsevier, vol. 355(C).
    • Handle: RePEc:eee:appene:v:355:y:2024:i:c:s0306261923017373
    DOI: 10.1016/j.apenergy.2023.122373
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    References listed on IDEAS

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    1. Steven A. Gabriel & Antonio J. Conejo & J. David Fuller & Benjamin F. Hobbs & Carlos Ruiz, 2013. "Complementarity Modeling in Energy Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4419-6123-5, December.
    2. Roald, Line A. & Pozo, David & Papavasiliou, Anthony & Molzahn, Daniel K. & Kazempour, Jalal & Conejo, Antonio, 2023. "Power systems optimization under uncertainty: a review of methods and applications," LIDAM Reprints CORE 3257, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Hu, Junjie & Morais, Hugo & Sousa, Tiago & Lind, Morten, 2016. "Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1207-1226.
    4. Mehdinejad, Mehdi & Shayanfar, Heidarali & Mohammadi-Ivatloo, Behnam, 2022. "Peer-to-peer decentralized energy trading framework for retailers and prosumers," Applied Energy, Elsevier, vol. 308(C).
    5. Guo, Jianwei & Lv, Yongbo & Zhang, Han & Nojavan, Sayyad & Jermsittiparsert, Kittisak, 2020. "Robust optimization strategy for intelligent parking lot of electric vehicles," Energy, Elsevier, vol. 200(C).
    6. Tostado-Véliz, Marcos & Hasanien, Hany M. & Rezaee Jordehi, Ahmad & Turky, Rania A. & Gómez-González, Manuel & Jurado, Francisco, 2023. "An Interval-based privacy – Aware optimization framework for electricity price setting in isolated microgrid clusters," Applied Energy, Elsevier, vol. 340(C).
    7. Mustika, Alyssa Diva & Rigo-Mariani, Rémy & Debusschere, Vincent & Pachurka, Amaury, 2022. "A two-stage management strategy for the optimal operation and billing in an energy community with collective self-consumption," Applied Energy, Elsevier, vol. 310(C).
    8. Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Amir Mansouri, Seyed & Jurado, Francisco, 2022. "Day-ahead scheduling of 100% isolated communities under uncertainties through a novel stochastic-robust model," Applied Energy, Elsevier, vol. 328(C).
    9. Tostado-Véliz, Marcos & Jordehi, Ahmad Rezaee & Mansouri, Seyed Amir & Jurado, Francisco, 2023. "A two-stage IGDT-stochastic model for optimal scheduling of energy communities with intelligent parking lots," Energy, Elsevier, vol. 263(PD).
    10. Tostado-Véliz, Marcos & Kamel, Salah & Hasanien, Hany M. & Arévalo, Paul & Turky, Rania A. & Jurado, Francisco, 2022. "A stochastic-interval model for optimal scheduling of PV-assisted multi-mode charging stations," Energy, Elsevier, vol. 253(C).
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