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Control Strategy for Electric Vehicle Charging Station Power Converters with Active Functions

Author

Listed:
  • Fermín Barrero-González

    (Department of Electrical, Electronic and Control Engineering, School of Industrial Engineering, University of Extremadura, 06006 Badajoz, Spain)

  • María Isabel Milanés-Montero

    (Department of Electrical, Electronic and Control Engineering, School of Industrial Engineering, University of Extremadura, 06006 Badajoz, Spain)

  • Eva González-Romera

    (Department of Electrical, Electronic and Control Engineering, School of Industrial Engineering, University of Extremadura, 06006 Badajoz, Spain)

  • Enrique Romero-Cadaval

    (Department of Electrical, Electronic and Control Engineering, School of Industrial Engineering, University of Extremadura, 06006 Badajoz, Spain)

  • Carlos Roncero-Clemente

    (Department of Electrical, Electronic and Control Engineering, School of Industrial Engineering, University of Extremadura, 06006 Badajoz, Spain)

Abstract

Based on the assumption that vehicles served by petrol stations will be replaced by Electric Vehicles (EV) in the future, EV public charging station facilities, with off-board fast chargers, will be progressively built. The power demand of these installations is expected to cause great impact on the grid, not only in terms of peak power demanded but also in terms of power quality, because most battery chargers behave as non-linear loads. This paper presents the proposal of a novel comprehensive global control strategy for the power electronic converters associated with bidirectional three-phase EV off-board fast chargers. The Charging Station facility Energy Management System (CS-EMS) sends to each individual fast charger the active and reactive power setpoints. Besides, in case the charger has available capacity, it is assigned to compensate a fraction of the harmonic current demanded by other loads at the charging facility. The proposed approach works well under distorted and unbalanced grid voltages. Its implementation results in improvement in the power quality of each fast charger, which contributes to improvement in the power quality at the charging station facility level, which can even provide ancillary services to the distribution network. Simulation tests are conducted, using a 100 kW power electronic converter model, under different load and grid conditions, to validate the effectiveness and the applicability of the proposed control strategy.

Suggested Citation

  • Fermín Barrero-González & María Isabel Milanés-Montero & Eva González-Romera & Enrique Romero-Cadaval & Carlos Roncero-Clemente, 2019. "Control Strategy for Electric Vehicle Charging Station Power Converters with Active Functions," Energies, MDPI, vol. 12(20), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3971-:d:278115
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    References listed on IDEAS

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    5. Maria-Isabel Milanes-Montero & Fermin Barrero-Gonzalez & Jaime Pando-Acedo & Eva Gonzalez-Romera & Enrique Romero-Cadaval & Antonio Moreno-Munoz, 2017. "Active, Reactive and Harmonic Control for Distributed Energy Micro-Storage Systems in Smart Communities Homes," Energies, MDPI, vol. 10(4), pages 1-11, April.
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    Cited by:

    1. Kabir Momoh & Shamsul Aizam Zulkifli & Petr Korba & Felix Rafael Segundo Sevilla & Arif Nur Afandi & Alfredo Velazquez-Ibañez, 2023. "State-of-the-Art Grid Stability Improvement Techniques for Electric Vehicle Fast-Charging Stations for Future Outlooks," Energies, MDPI, vol. 16(9), pages 1-29, May.
    2. Jelena Loncarski & Vito Giuseppe Monopoli & Giuseppe Leonardo Cascella & Francesco Cupertino, 2020. "SiC-MOSFET and Si-IGBT-Based dc-dc Interleaved Converters for EV Chargers: Approach for Efficiency Comparison with Minimum Switching Losses Based on Complete Parasitic Modeling," Energies, MDPI, vol. 13(17), pages 1-20, September.
    3. Muhammad Shahab & Shaorong Wang & Abdul Khalique Junejo, 2021. "Improved Control Strategy for Three-Phase Microgrid Management with Electric Vehicles Using Multi Objective Optimization Algorithm," Energies, MDPI, vol. 14(4), pages 1-23, February.

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