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Hybrid Photovoltaic Systems with Accumulation—Support for Electric Vehicle Charging

Author

Listed:
  • Petr Mastny

    (Department of Electrical Power Engineering, Brno University of Technology, Technicka 12, Brno 61600, Czech Republic)

  • Jan Moravek

    (Department of Electrical Power Engineering, Brno University of Technology, Technicka 12, Brno 61600, Czech Republic)

  • Martin Vojtek

    (Department of Electric Power Engineering, Technical University of Košice, Mäsiarska 74, Košice 04001, Slovakia)

  • Jiri Drapela

    (Department of Electrical Power Engineering, Brno University of Technology, Technicka 12, Brno 61600, Czech Republic)

Abstract

The paper presents the concept of a hybrid power system with additional energy storage to support electric vehicles (EVs) charging stations. The aim is to verify the possibilities of mutual cooperation of individual elements of the system from the point of view of energy balances and to show possibilities of utilization of accumulation for these purposes using mathematical modeling. The description of the technical solution of the concept is described by a mathematical model in the Matlab Simulink programming environment. Individual elements of the assembled model are described in detail, together with the algorithm of the control logic of charging the supporting storage system. The resulting model was validated via an actual small-scale hybrid system (HS). Within the outputs of the mathematical model, two simulation scenarios are presented, with the aid of which the benefits of the concept presented were verified.

Suggested Citation

  • Petr Mastny & Jan Moravek & Martin Vojtek & Jiri Drapela, 2017. "Hybrid Photovoltaic Systems with Accumulation—Support for Electric Vehicle Charging," Energies, MDPI, vol. 10(7), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:834-:d:102305
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    References listed on IDEAS

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    Cited by:

    1. Simon Steinschaden & José Baptista, 2020. "Development of an Efficient Tool for Solar Charging Station Management for Electric Vehicles," Energies, MDPI, vol. 13(11), pages 1-21, June.
    2. Madeleine McPherson & Theofilos Sotiropoulos-Michalakakos & LD Danny Harvey & Bryan Karney, 2017. "An Open-Access Web-Based Tool to Access Global, Hourly Wind and Solar PV Generation Time-Series Derived from the MERRA Reanalysis Dataset," Energies, MDPI, vol. 10(7), pages 1-14, July.
    3. Michele Zanoni & Riccardo Chiumeo & Liliana Tenti & Massimo Volta, 2021. "Advanced Machine Learning Functionalities in the Medium Voltage Distributed Monitoring System QuEEN: A Macro-Regional Voltage Dips Severity Analysis," Energies, MDPI, vol. 14(23), pages 1-25, November.
    4. Marco Faifer & Christian Laurano & Roberto Ottoboni & Sergio Toscani & Michele Zanoni, 2020. "Frequency-Domain Nonlinear Modeling Approaches for Power Systems Components—A Comparison," Energies, MDPI, vol. 13(10), pages 1-14, May.

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