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Power Quality Improvement in Distribution Grids via Real-Time Smart Exploitation of Electric Vehicles

Author

Listed:
  • Behzad Zargar

    (Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany)

  • Ting Wang

    (Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany)

  • Manuel Pitz

    (Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany)

  • Rainer Bachmann

    (E:E Consulting GmbH, Eichenweg 2 b, D-21521 Aumühle, Germany)

  • Moritz Maschmann

    (Schleswig-Holstein Netz AG, Kieler Straße 47, 24768 Rendsburg, Germany)

  • Angelina Bintoudi

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

  • Lampros Zyglakis

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

  • Ferdinanda Ponci

    (Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany)

  • Antonello Monti

    (Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany)

  • Dimosthenis Ioannidis

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

Abstract

Integration of electric vehicles into electric power system brings both challenges and solutions in the operation of power grids. On the one hand, simultaneously charging a large number of electric vehicles causes branch congestion or large voltage drop. Operating the electric vehicles in the discharging mode, on the other hand, introduces the provision of several ancillary services like peak power shaving and spinning reserves. From the electric vehicles operation point of view, thus, the distribution system operators require a real-time monitoring infrastructure to capture the states of electric vehicle chargers and accordingly operate their grids in the safe mode with respect to the power quality standards (e.g., EN 50160). In this context, the real-time smart charging and storage platform of the EU Horizon 2020 “MEISTER” project, based on the information and communication technology, manages the availability of electric vehicles as a potential source of energy in the need of one or more flexibility services demanded by low voltage distribution system operators. In addition to the implemented information and communication technology platform, this paper presents how the smart use of the electric vehicle resources supports the power quality of the distribution system in terms of system voltage support, bidirectional power flow management, harmonic alleviation and power factor control.

Suggested Citation

  • Behzad Zargar & Ting Wang & Manuel Pitz & Rainer Bachmann & Moritz Maschmann & Angelina Bintoudi & Lampros Zyglakis & Ferdinanda Ponci & Antonello Monti & Dimosthenis Ioannidis, 2021. "Power Quality Improvement in Distribution Grids via Real-Time Smart Exploitation of Electric Vehicles," Energies, MDPI, vol. 14(12), pages 1-26, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3533-:d:574667
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    References listed on IDEAS

    as
    1. Angelina D. Bintoudi & Lampros Zyglakis & Apostolos C. Tsolakis & Paschalis A. Gkaidatzis & Athanasios Tryferidis & Dimosthenis Ioannidis & Dimitrios Tzovaras, 2021. "OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration," Energies, MDPI, vol. 14(10), pages 1-19, May.
    2. Shahid Hussain & Ki-Beom Lee & Mohamed A. Ahmed & Barry Hayes & Young-Chon Kim, 2020. "Two-Stage Fuzzy Logic Inference Algorithm for Maximizing the Quality of Performance under the Operational Constraints of Power Grid in Electric Vehicle Parking Lots," Energies, MDPI, vol. 13(18), pages 1-31, September.
    3. Gaizka Saldaña & Jose Ignacio San Martin & Inmaculada Zamora & Francisco Javier Asensio & Oier Oñederra, 2019. "Electric Vehicle into the Grid: Charging Methodologies Aimed at Providing Ancillary Services Considering Battery Degradation," Energies, MDPI, vol. 12(12), pages 1-37, June.
    4. Shahid Hussain & Mohamed A. Ahmed & Ki-Beom Lee & Young-Chon Kim, 2020. "Fuzzy Logic Weight Based Charging Scheme for Optimal Distribution of Charging Power among Electric Vehicles in a Parking Lot," Energies, MDPI, vol. 13(12), pages 1-27, June.
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    Cited by:

    1. Himadry Shekhar Das & Md Nurunnabi & Mohamed Salem & Shuhui Li & Mohammad Mominur Rahman, 2022. "Utilization of Electric Vehicle Grid Integration System for Power Grid Ancillary Services," Energies, MDPI, vol. 15(22), pages 1-15, November.
    2. Bahman Ahmadi & Elham Shirazi, 2023. "A Heuristic-Driven Charging Strategy of Electric Vehicle for Grids with High EV Penetration," Energies, MDPI, vol. 16(19), pages 1-26, October.
    3. Matthias Schilcher & Sebastian Neff & Jeanette Muenderlein, 2023. "Controlling the Reactive Power Demand of a Distribution Grid by Coordinated Action of Electric Vehicle Chargers," Energies, MDPI, vol. 16(14), pages 1-12, July.

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