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On the Use of LoRa Technology for Logic Selectivity in MV Distribution Networks

Author

Listed:
  • Leopoldo Angrisani

    (Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università di Napoli Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Francesco Bonavolontà

    (Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università di Napoli Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Annalisa Liccardo

    (Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università di Napoli Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Rosario Schiano Lo Moriello

    (Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

Abstract

In this paper, a logic selectivity system based on Long Range (LoRa) technology for the protection of medium-voltage (MV) networks is proposed. The development of relays that communicate with each other using LoRa allows for the combination of the cost-effectiveness and ease of installation of wireless networks with long-range coverage and reliability. The realized demonstrator to assess the proposed system is also presented in the paper; based on different types of faults and different locations, the times needed for clearing a fault and restoring the network were estimated from repeated experiments. The obtained results confirm that, with an optimized design of transmitted packets and of protocol characteristics, LoRa communication grants fault management that meets the criteria of logic selectivity, with fault isolation occurring within the maximum allowed time.

Suggested Citation

  • Leopoldo Angrisani & Francesco Bonavolontà & Annalisa Liccardo & Rosario Schiano Lo Moriello, 2018. "On the Use of LoRa Technology for Logic Selectivity in MV Distribution Networks," Energies, MDPI, vol. 11(11), pages 1-34, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3079-:d:181450
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    Citations

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    Cited by:

    1. Francesco Bonavolontà & Vincenzo Caragallo & Alessandro Fatica & Annalisa Liccardo & Adriano Masone & Claudio Sterle, 2021. "Optimization of IEDs Position in MV Smart Grids through Integer Linear Programming," Energies, MDPI, vol. 14(11), pages 1-16, June.
    2. Annalisa Liccardo & Francesco Bonavolontà & Ignazio Romano & Rosario Schiano Lo Moriello, 2021. "Optimization and Performance Assessment of a Logic Selectivity Solution Based on LoRa Communication," Energies, MDPI, vol. 14(21), pages 1-17, November.

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