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@ARTICLE{Pegoraro:1027917,
author = {Pegoraro, Paolo Attilio and Sitzia, Carlo and Solinas,
Antonio Vincenzo and Sulis, Sara and Carta, Daniele and
Benigni, Andrea},
title = {{C}ompensation of {S}ystematic {E}rrors for {I}mproved
{PMU}-based {F}ault {D}etection and {L}ocation in
{T}hree-{P}hase {D}istribution {G}rids},
journal = {IEEE transactions on instrumentation and measurement},
volume = {73},
issn = {0018-9456},
address = {New York, NY},
publisher = {IEEE},
reportid = {FZJ-2024-04212},
pages = {9003712},
year = {2024},
abstract = {Grid management undoubtedly benefits from an accurate
monitoring of actual network operating conditions. Such
monitoring can be obtained starting from a widespread
presence of measurement points and different types of
estimation techniques. To exploit all the possible
measurements present on the network, data coming from the
protection systems can be considered in addition to those
from the measurement systems. In this scenario, however,
accuracy should not be underestimated, because in the
presence of dynamic signals it can be dramatically reduced.
In this context, this paper presents an improved fault
detection and location method based on synchronized
measurements, estimation techniques and an appropriate
accuracy modeling aimed at reducing the uncertainty in the
fault analysis. The proposed approach is validated by
simulations carried out by means of a Digital Real Time
Simulator (DRTS) on the three-phase CIGRE European Medium
Voltage distribution network.},
cin = {IEK-10},
ddc = {620},
cid = {I:(DE-Juel1)IEK-10-20170217},
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)16},
UT = {WOS:001405845900001},
doi = {10.1109/TIM.2024.3400340},
url = {https://juser.fz-juelich.de/record/1027917},
}