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Optimization and Performance Assessment of a Logic Selectivity Solution Based on LoRa Communication

Author

Listed:
  • Annalisa Liccardo

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Francesco Bonavolontà

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Ignazio Romano

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Rosario Schiano Lo Moriello

    (Department of Industrial Engineering, University of Naples Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

Abstract

Ensuring service continuity has become a fundamental issue for companies involved in electricity distribution; in particular, isolating the smallest possible portion of the network as a result of faults has long been a primary objective. To this aim, solutions based on logic selectivity have been defined and implemented for an efficient search for the network branch affected by the fault and its subsequent isolation. The authors have recently presented a proposal for the implementation of logic selectivity that exploits the LoRa transmission protocol, an ideal solution in the case of areas not reachable by the currently exploited communication technologies. The present paper, instead, deals with the optimization of some LoRa parameters, which made it possible to exploit network configurations in terms of coverage range, sensitivity and signal-to-noise ratio. The performance of the new configuration has been assessed through a number of tests conducted in the laboratory and on-field, highlighting promising results in terms of both intervention times and reliability. In particular, tests conducted in both rural and urban areas have assured fault isolation times as low as 33 ms (fully compliant with the current regulations) in the presence of the most challenging fault condition.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7359-:d:672612
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    References listed on IDEAS

    as
    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. José Miguel Paredes-Parra & Antonio Javier García-Sánchez & Antonio Mateo-Aroca & Ángel Molina-García, 2019. "An Alternative Internet-of-Things Solution Based on LoRa for PV Power Plants: Data Monitoring and Management," Energies, MDPI, vol. 12(5), pages 1-20, March.
    3. 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.
    4. Cristian Cepeda & Cesar Orozco-Henao & Winston Percybrooks & Juan Diego Pulgarín-Rivera & Oscar Danilo Montoya & Walter Gil-González & Juan Carlos Vélez, 2020. "Intelligent Fault Detection System for Microgrids," Energies, MDPI, vol. 13(5), pages 1-21, March.
    5. Soon-Ryul Nam & Woong-Hie Ko & Sopheap Key & Sang-Hee Kang & Nam-Ho Lee, 2021. "IEC 61850-Based Centralized Protection against Single Line-To-Ground Faults in Ungrounded Distribution Systems," Energies, MDPI, vol. 14(3), pages 1-15, January.
    Full references (including those not matched with items on IDEAS)

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