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Optimization of a Power Line Communication System to Manage Electric Vehicle Charging Stations in a Smart Grid

Author

Listed:
  • Sara Carcangiu

    (Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy)

  • Alessandra Fanni

    (Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy)

  • Augusto Montisci

    (Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy)

Abstract

In this paper, a procedure is proposed to design a power line communication (PLC) system to perform the digital transmission in a distributed energy storage system consisting of fleets of electric cars. PLC uses existing power cables or wires as data communication multicarrier channels. For each vehicle, the information to be transmitted can be, for example: the models of the batteries, the level of the charge state, and the schedule of charging/discharging. Orthogonal frequency division multiplexing modulation (OFDM) is used for the bit loading, whose parameters are optimized to find the best compromise between the communication conflicting objectives of minimizing the signal power, maximizing the bit rate, and minimizing the bit error rate. The off-line design is modeled as a multi-objective optimization problem, whose solution supplies a set of Pareto optimal solutions. At the same time, as many charging stations share part of the transmission line, the optimization problem includes also the assignment of the sub-carriers to the single charging stations. Each connection between the control node and a charging station has its own frequency response and is affected by a noise spectrum. In this paper, a procedure is presented, called Chimera, which allows one to solve the multi-objective optimization problem with respect to a unique frequency response, representing the whole set of lines connecting each charging station with the central node. Among the provided Pareto solutions, the designer will make the final decision based on the control system requirements and/or the hardware constraints.

Suggested Citation

  • Sara Carcangiu & Alessandra Fanni & Augusto Montisci, 2019. "Optimization of a Power Line Communication System to Manage Electric Vehicle Charging Stations in a Smart Grid," Energies, MDPI, vol. 12(9), pages 1-13, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1767-:d:229805
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    References listed on IDEAS

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    1. Samy Faddel & Ali T. Al-Awami & Osama A. Mohammed, 2018. "Charge Control and Operation of Electric Vehicles in Power Grids: A Review," Energies, MDPI, vol. 11(4), pages 1-21, March.
    2. Hu, Junjie & Morais, Hugo & Sousa, Tiago & Lind, Morten, 2016. "Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1207-1226.
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    Citations

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    Cited by:

    1. Grzegorz Debita & Przemysław Falkowski-Gilski & Marcin Habrych & Grzegorz Wiśniewski & Bogdan Miedziński & Przemysław Jedlikowski & Agnieszka Waniewska & Jan Wandzio & Bartosz Polnik, 2020. "BPL-PLC Voice Communication System for the Oil and Mining Industry," Energies, MDPI, vol. 13(18), pages 1-19, September.
    2. Liqiao Wang & Peter Wells, 2021. "Regime Confluence in Automobile Industry Transformation: Boundary Dissolution and Network Reintegration via CASE Vehicles," Energies, MDPI, vol. 14(4), pages 1-18, February.
    3. Gschwendtner, Christine & Sinsel, Simon R. & Stephan, Annegret, 2021. "Vehicle-to-X (V2X) implementation: An overview of predominate trial configurations and technical, social and regulatory challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    4. Giovanni Artale & Antonio Cataliotti & Valentina Cosentino & Dario Di Cara & Riccardo Fiorelli & Salvatore Guaiana & Nicola Panzavecchia & Giovanni Tinè, 2019. "A New Coupling Solution for G3-PLC Employment in MV Smart Grids," Energies, MDPI, vol. 12(13), pages 1-23, June.

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