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@INPROCEEDINGS{Sitzia:1020328,
author = {Sitzia, Carlo and Carta, Daniele and Benigni, Andrea and
Pegoraro, Paolo Attilio and Sulis, Sara},
title = {{D}istribution {S}ystems {L}ine {P}arameter {E}stimation
with {N}odal {I}njection {C}onstraints in {P}resence of
{V}ehicle-to-{G}rid},
publisher = {IEEE},
reportid = {FZJ-2024-00070},
pages = {1-6},
year = {2023},
abstract = {This paper presents a line parameter, and systematic
instrument transformer errors, estimation technique for
modern distribution networks. The method is based on
measurements provided by smart meters with synchronized
measurements capability. The whole measurement chain is
taken into account by realistic measurement assumptions,
considering typical accuracies of the measurement devices
and instrument transformers installed in modern distribution
grids. The proposed framework has been validated on a
portion of the digital twin of the Forschungszentrum Jülich
campus, in presence of distributed renewable energy sources
and vehicle-to-grid technology. The obtained results show
that the estimation accuracy is influenced by specific work
conditions of the considered distribution system.},
month = {Jun},
date = {2023-06-25},
organization = {2023 IEEE Belgrade PowerTech, Belgrade
(Serbia), 25 Jun 2023 - 29 Jun 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},
UT = {WOS:001055072600277},
doi = {10.1109/PowerTech55446.2023.10202955},
url = {https://juser.fz-juelich.de/record/1020328},
}