Fault Identification Method in Three-Phase Distribution Networks Leveraging Traceable PMU Measurements

Pegoraro, Paolo Attilio;Sitzia, Carlo;Solinas, Antonio Vincenzo;Sulis, Sara;
2024-01-01

Abstract

Several fault detection methods and location algorithms in the literature are founded on state estimation. In recent approaches, in most cases, the state estimation process is performed based on synchronized measurements provided by phasor measurement units (PMUs). However, coupling fault identification with phasor measurements is a challenging task, which can present several risks. Particularly, in dynamic scenarios related to faults, the traceability of the measurements could be compromised. To reduce decision-making risks, this paper proposes the application of a dynamics detection policy in a fault detection and location method based on PMU measurements. Such policy permits selecting only traceable measurements. Consequently, decision risks can be reduced. The validity of the proposed approach is confirmed by the simulations carried out by means of a Real-Time Digital Simulator (RTDS) on a three-phase CIGRE European Medium Voltage distribution network.
2024
Inglese
2024 IEEE 14th International Workshop on Applied Measurements for Power Systems (AMPS)
1
6
6
2024 14th IEEE International Workshop on Applied Measurements for Power Systems
Esperti anonimi
18-20 September 2024
Caserta, Italy
scientifica
Goal 7: Affordable and clean energy
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Pegoraro, Paolo Attilio; Sitzia, Carlo; Solinas, Antonio Vincenzo; Sulis, Sara; Carta, Daniele; Benigni, Andrea
273
6
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
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