Optimization and Performance Assessment of a Logic Selectivity Solution Based on LoRa Communication
Annalisa Liccardo,
Francesco Bonavolontà,
Ignazio Romano and
Rosario Schiano Lo Moriello
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Annalisa Liccardo: Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
Francesco Bonavolontà: Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
Ignazio Romano: Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
Rosario Schiano Lo Moriello: Department of Industrial Engineering, University of Naples Federico II, 80125 Naples, Italy
Energies, 2021, vol. 14, issue 21, 1-17
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.
Keywords: electrical distribution network; fault isolation; logic selectivity; LoRa communication; performance assessment; on-field tests (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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