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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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    1. Ding, Huajie & Hu, Zechun & Song, Yonghua, 2015. "Value of the energy storage system in an electric bus fast charging station," Applied Energy, Elsevier, vol. 157(C), pages 630-639.
    2. Fantauzzi, M. & Lauria, D. & Mottola, F. & Scalfati, A., 2017. "Sizing energy storage systems in DC networks: A general methodology based upon power losses minimization," Applied Energy, Elsevier, vol. 187(C), pages 862-872.
    3. Thomas, Dimitrios & Deblecker, Olivier & Ioakimidis, Christos S., 2018. "Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule," Applied Energy, Elsevier, vol. 210(C), pages 1188-1206.
    4. Elio Chiodo & Giovanni Mazzanti, 2011. "Mathematical and Physical Properties of Reliability Models in View of their Application to Modern Power System Components," Springer Series in Reliability Engineering, in: George Anders & Alfredo Vaccaro (ed.), Innovations in Power Systems Reliability, pages 59-140, Springer.
    5. García-Triviño, Pablo & Torreglosa, Juan P. & Fernández-Ramírez, Luis M. & Jurado, Francisco, 2016. "Control and operation of power sources in a medium-voltage direct-current microgrid for an electric vehicle fast charging station with a photovoltaic and a battery energy storage system," Energy, Elsevier, vol. 115(P1), pages 38-48.
    6. Jip Kim & Seung Wan Kim & Young Gyu Jin & Jong-Keun Park & Yong Tae Yoon, 2016. "Optimal Coordinated Management of a Plug-In Electric Vehicle Charging Station under a Flexible Penalty Contract for Voltage Security," Energies, MDPI, vol. 9(7), pages 1-15, July.
    7. Hao Xiao & Wei Pei & Zuomin Dong & Li Kong & Dan Wang, 2018. "Application and Comparison of Metaheuristic and New Metamodel Based Global Optimization Methods to the Optimal Operation of Active Distribution Networks," Energies, MDPI, vol. 11(1), pages 1-29, January.
    8. Saber Talari & Miadreza Shafie-khah & Pierluigi Siano & Vincenzo Loia & Aurelio Tommasetti & João P. S. Catalão, 2017. "A Review of Smart Cities Based on the Internet of Things Concept," Energies, MDPI, vol. 10(4), pages 1-23, March.
    9. Hung, Duong Quoc & Dong, Zhao Yang & Trinh, Hieu, 2016. "Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support," Applied Energy, Elsevier, vol. 183(C), pages 160-169.
    10. Carpinelli, G. & Mottola, F. & Proto, D. & Varilone, P., 2017. "Minimizing unbalances in low-voltage microgrids: Optimal scheduling of distributed resources," Applied Energy, Elsevier, vol. 191(C), pages 170-182.
    11. Kandil, Sarah M. & Farag, Hany E.Z. & Shaaban, Mostafa F. & El-Sharafy, M. Zaki, 2018. "A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems," Energy, Elsevier, vol. 143(C), pages 961-972.
    12. Rubino, Luigi & Capasso, Clemente & Veneri, Ottorino, 2017. "Review on plug-in electric vehicle charging architectures integrated with distributed energy sources for sustainable mobility," Applied Energy, Elsevier, vol. 207(C), pages 438-464.
    13. Goli, P. & Shireen, W., 2014. "PV powered smart charging station for PHEVs," Renewable Energy, Elsevier, vol. 66(C), pages 280-287.
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    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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