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@INPROCEEDINGS{Pegoraro:1020327,
author = {Pegoraro, Paolo Attilio and Sulis, Sara and Sitzia, Carlo
and Carta, Daniele and Solinas, Antonio Vincenzo and
Benigni, Andrea},
title = {{F}ault {I}dentification in {T}hree-{P}hase {D}istribution
{N}etworks {I}mproved by {L}ine {P}arameter {E}stimation},
publisher = {IEEE},
reportid = {FZJ-2024-00069},
pages = {1-6},
year = {2023},
abstract = {Fault detection and location algorithms require grid
knowledge to be highly accurate. Possible deviations of
actual line parameters with respect to the expected ones can
affect the detection and location performance. To reduce
fault analysis uncertainty, we propose the application of a
simultaneous estimation of line parameters and systematic
errors, along with a proper handling of the measurements
chain, in a fault detection and location method. The
validity of the proposed approach is confirmed by the
simulations carried out by means of a Real Time Digital
Simulator (RTDS) on the three-phase CIGRE European Medium
Voltage distribution network.},
month = {Sep},
date = {2023-09-27},
organization = {2023 IEEE 13th International Workshop
on Applied Measurements for Power
Systems (AMPS), Bern (Switzerland), 27
Sep 2023 - 29 Sep 2023},
cin = {IEK-10},
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)8},
doi = {10.1109/AMPS59207.2023.10297135},
url = {https://juser.fz-juelich.de/record/1020327},
}