TY  - CONF
AU  - Pegoraro, Paolo Attilio
AU  - Sitzia, Carlo
AU  - Solinas, Antonio Vincenzo
AU  - Sulis, Sara
AU  - Carta, Daniele
AU  - Benigni, Andrea
TI  - Fault Identification Method in Three-Phase Distribution Networks Leveraging Traceable PMU Measurements
PB  - IEEE
M1  - FZJ-2024-05832
SP  - 1-6
PY  - 2024
AB  - 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.
T2  - 2024 IEEE 14th International Workshop on Applied Measurements for Power Systems (AMPS)
CY  - 18 Sep 2024 - 20 Sep 2024, Caserta (Italy)
Y2  - 18 Sep 2024 - 20 Sep 2024
M2  - Caserta, Italy
LB  - PUB:(DE-HGF)8
UR  - <Go to ISI:>//WOS:001344552300035
DO  - DOI:10.1109/AMPS62611.2024.10706699
UR  - https://juser.fz-juelich.de/record/1031813
ER  -