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A Probabilistic Approach for the Optimal Sizing of Storage Devices to Increase the Penetration of Plug-in Electric Vehicles in Direct Current Networks

Author

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  • Elio Chiodo

    (Department of Industrial Engineering, University of Naples Federico II, Naples 80125, Italy)

  • Maurizio Fantauzzi

    (Department of Industrial Engineering, University of Naples Federico II, Naples 80125, Italy)

  • Davide Lauria

    (Department of Industrial Engineering, University of Naples Federico II, Naples 80125, Italy)

  • Fabio Mottola

    (Department of Engineering, University of Naples Parthenope, Naples 80143, Italy)

Abstract

The growing diffusion of electric vehicles connected to distribution networks for charging purposes is an ongoing problem that utilities must deal with. Direct current networks and storage devices have emerged as a feasible means of satisfying the expected increases in the numbers of vehicles while preserving the effective operation of the network. In this paper, an innovative probabilistic methodology is proposed for the optimal sizing of electrical storage devices with the aim of maximizing the penetration of plug-in electric vehicles while preserving efficient and effective operation of the network. The proposed methodology is based on an analytical solution of the problem concerning the power losses minimization in distribution networks equipped with storage devices. The closed-form expression that was obtained is included in a Monte Carlo simulation procedure aimed at handling the uncertainties in loads and renewable generation units. The results of several numerical applications are reported and discussed to demonstrate the validity of the proposed solution. Also, different penetration levels of generation units were analyzed in order to focus on the importance of renewable generation.

Suggested Citation

  • Elio Chiodo & Maurizio Fantauzzi & Davide Lauria & Fabio Mottola, 2018. "A Probabilistic Approach for the Optimal Sizing of Storage Devices to Increase the Penetration of Plug-in Electric Vehicles in Direct Current Networks," Energies, MDPI, vol. 11(5), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1238-:d:146057
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    References listed on IDEAS

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    Cited by:

    1. Jean-Michel Clairand & Javier Rodríguez-García & Carlos Álvarez-Bel, 2018. "Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation," Energies, MDPI, vol. 11(11), pages 1-21, November.
    2. Zeeshan Anjum Memon & Dalila Mat Said & Mohammad Yusri Hassan & Hafiz Mudassir Munir & Faisal Alsaif & Sager Alsulamy, 2023. "Effective Deterministic Methodology for Enhanced Distribution Network Performance and Plug-in Electric Vehicles," Sustainability, MDPI, vol. 15(9), pages 1-37, April.

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