% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Zhang:892893,
      author       = {Zhang, Junjie and Razik, Lukas and Jakobsen, Sigurd Hofsmo
                      and D’Arco, Salvatore and Benigni, Andrea},
      title        = {{A}n {O}pen-{S}ource {M}any-{S}cenario {A}pproach for
                      {P}ower {S}ystem {D}ynamic {S}imulation on {HPC} {C}lusters},
      journal      = {Electronics},
      volume       = {10},
      number       = {11},
      issn         = {2079-9292},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2021-02420},
      pages        = {1330 -},
      year         = {2021},
      abstract     = {In this paper we introduce an approach to accelerate
                      many-scenario (i.e., hundreds to thousands) power system
                      simulations which is based on a highly scalable and flexible
                      open-source software environment. In this approach, the
                      parallel execution of simulations follows the single
                      program, multiple data (SPMD) paradigm, where the dynamic
                      simulation program is executed in parallel and takes
                      different inputs to generate different scenarios. The power
                      system is modeled using an existing Modelica library and
                      compiled to a simulation executable using the OpenModelica
                      Compiler. Furthermore, the parallel simulation is performed
                      with the aid of a message-passing interface (MPI) and the
                      approach includes dynamic workload balancing. Finally,
                      benchmarks with the simulation environment are performed on
                      high-performance computing (HPC) clusters with four test
                      cases. The results show high scalability and a considerable
                      parallel speedup of the proposed approach in the simulation
                      of all scenarios.},
      cin          = {IEK-10},
      ddc          = {530},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {1122 - Design, Operation and Digitalization of the Future
                      Energy Grids (POF4-112)},
      pid          = {G:(DE-HGF)POF4-1122},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000659651400001},
      doi          = {10.3390/electronics10111330},
      url          = {https://juser.fz-juelich.de/record/892893},
}