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@INPROCEEDINGS{Pegoraro:1031813,
author = {Pegoraro, Paolo Attilio and Sitzia, Carlo and Solinas,
Antonio Vincenzo and Sulis, Sara and Carta, Daniele and
Benigni, Andrea},
title = {{F}ault {I}dentification {M}ethod in {T}hree-{P}hase
{D}istribution {N}etworks {L}everaging {T}raceable {PMU}
{M}easurements},
publisher = {IEEE},
reportid = {FZJ-2024-05832},
pages = {1-6},
year = {2024},
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.},
month = {Sep},
date = {2024-09-18},
organization = {2024 IEEE 14th International Workshop
on Applied Measurements for Power
Systems (AMPS), Caserta (Italy), 18 Sep
2024 - 20 Sep 2024},
cin = {ICE-1},
cid = {I:(DE-Juel1)ICE-1-20170217},
pnm = {1122 - Design, Operation and Digitalization of the Future
Energy Grids (POF4-112) / 1123 - Smart Areas and Research
Platforms (POF4-112)},
pid = {G:(DE-HGF)POF4-1122 / G:(DE-HGF)POF4-1123},
typ = {PUB:(DE-HGF)8},
UT = {WOS:001344552300035},
doi = {10.1109/AMPS62611.2024.10706699},
url = {https://juser.fz-juelich.de/record/1031813},
}