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@INPROCEEDINGS{Carta:910022,
      author       = {Carta, Daniele and Benigni, Andrea and Sitzia, Carlo and
                      Pegoraro, Paolo Attilio and Sulis, Sara},
      title        = {{P}erformance {A}ssessment of {S}ynchronized {P}hasor
                      {M}easurement-{B}ased {P}arameter {E}stimation for
                      {D}istribution {N}etworks},
      publisher    = {IEEE},
      reportid     = {FZJ-2022-03577},
      pages        = {1-6},
      year         = {2022},
      comment      = {2022 International Conference on Smart Energy Systems and
                      Technologies (SEST) : [Proceedings] - IEEE, 2022. - ISBN
                      978-1-6654-0557-7 - doi:10.1109/SEST53650.2022.9898484},
      booktitle     = {2022 International Conference on Smart
                       Energy Systems and Technologies (SEST)
                       : [Proceedings] - IEEE, 2022. - ISBN
                       978-1-6654-0557-7 -
                       doi:10.1109/SEST53650.2022.9898484},
      abstract     = {This paper presents the assessment of an enhanced line
                      parameter estimation technique for modern distribution
                      networks. The estimation method takes advantage of the use
                      of Phasor Measurement Units or, more in general of
                      synchronized phasor measurements. A comprehensive modeling
                      of the uncertainty of synchronized data permits performing
                      an accurate estimation. The validity of the estimation
                      technique has been tested on a portion of the digital twin
                      of the Forschungszentrum Jülich (FZJ) campus, a
                      self-managed distribution network with more than 100 nodes.
                      Realistic measurement assumptions have been considered by
                      taking into account the accuracy of a measurement chain
                      (instrument transformer and measurement device) for
                      distribution networks. Furthermore, the presence of
                      distributed generation has been also taken into account. The
                      results will show that the parameter estimation in these
                      challenging conditions is successful, and the technique can
                      be applied for the analysis of real distribution networks.},
      month         = {Sep},
      date          = {2022-09-05},
      organization  = {2022 International Conference on Smart
                       Energy Systems and Technologies (SEST),
                       Eindhoven (Netherlands), 5 Sep 2022 - 7
                       Sep 2022},
      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 / PUB:(DE-HGF)7},
      UT           = {WOS:001348273600090},
      doi          = {10.1109/SEST53650.2022.9898484},
      url          = {https://juser.fz-juelich.de/record/910022},
}