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@INPROCEEDINGS{DeDin:1031838,
      author       = {De Din, Edoardo and Ginocchi, Mirko and Ponci, Ferdinanda
                      and Monti, Antonello and Benigni, Andrea},
      title        = {{G}lobal {S}ensitivity {A}nalysis {B}ased {M}ethod for
                      {D}istributed {V}oltage {C}ontrol {P}erformance {S}tudy},
      publisher    = {IEEE},
      reportid     = {FZJ-2024-05853},
      pages        = {1-6},
      year         = {2024},
      abstract     = {Various sources of uncertainty can jeopardize the
                      performance of control algorithms when practically
                      implemented in power systems. This paper proposes a novel
                      and replicable method based on variance-based sensitivity
                      analysis (SA) to effectively assess the performance of
                      control algorithms. It overcomes the limitations of
                      traditional SA, it can deal with dynamic and iterative
                      algorithms under uncertainty, and it is computationally
                      cheap. The method is applied to study the performance of a
                      Docker container-based distributed voltage control algorithm
                      affected by noisy measurements, uncertain line parameters,
                      and asynchronism. The test results show the relevance of
                      measurements' uncertainty, the robustness to line parameter
                      errors of the control algorithm, and the importance of duly
                      investigating the asynchronous implementation thereof.},
      month         = {Sep},
      date          = {2024-09-10},
      organization  = {2024 International Conference on Smart
                       Energy Systems and Technologies (SEST),
                       Torino (Italy), 10 Sep 2024 - 12 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:001338753300079},
      doi          = {10.1109/SEST61601.2024.10694431},
      url          = {https://juser.fz-juelich.de/record/1031838},
}