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A Two-Stage EV Charging Planning and Network Reconfiguration Methodology towards Power Loss Minimization in Low and Medium Voltage Distribution Networks

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  • Despoina Kothona

    (Department of Electrical and Computer Engineering, University of Western Macedonia, Ikaron 3, Koila, 50132 Kozani, Greece)

  • Aggelos S. Bouhouras

    (Department of Electrical and Computer Engineering, University of Western Macedonia, Ikaron 3, Koila, 50132 Kozani, Greece)

Abstract

The topic of power loss reduction in distribution systems has gained significant attention over recent years. Despite the efforts of the European Union towards the minimization of power losses, the decarbonization of the transport sector has raised several concerns, since charging overlaps of Electric Vehicles (EVs) can cause extensive power losses and power quality issues. Considering these, the present paper proposes a two-stage EV charging planning and Network Reconfiguration (NR) methodology, addressing the problem of power loss minimization in both Low-Voltage (LV) and Medium-Voltage (MV) Distribution Networks (DNs), respectively. In the first stage, considering the key role of the aggregator, the EV charging planning is applied to LV DN. In the second stage, the NR technique is applied to the MV DN, by taking into account the hourly power demand of LV DNs as obtained by the aggregators. The proposed methodology has been applied on a benchmarked MV network for which each node is represented by a real LV network. The results indicate that the proposed methodology could yield up to a 63.64% power loss reduction, in respect to the base scenario, i.e., no charging planning and no NR are applied.

Suggested Citation

  • Despoina Kothona & Aggelos S. Bouhouras, 2022. "A Two-Stage EV Charging Planning and Network Reconfiguration Methodology towards Power Loss Minimization in Low and Medium Voltage Distribution Networks," Energies, MDPI, vol. 15(10), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3808-:d:821109
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    References listed on IDEAS

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    Cited by:

    1. Guillermo Alonso & Ricardo F. Alonso & Antonio Carlos Zambroni Zambroni De Souza & Walmir Freitas, 2022. "Enhanced Artificial Immune Systems and Fuzzy Logic for Active Distribution Systems Reconfiguration," Energies, MDPI, vol. 15(24), pages 1-18, December.
    2. Anant Oonsivilai & Banyat Boribun & Padej Pao-la-or, 2023. "Integration of Distributed Generation and Plug-in Electric Vehicles on Power Distribution System by Using Queuing Theory," Energies, MDPI, vol. 16(7), pages 1-15, March.

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