TY  - JOUR
AU  - Zhang, Junjie
AU  - Razik, Lukas
AU  - Jakobsen, Sigurd Hofsmo
AU  - D’Arco, Salvatore
AU  - Benigni, Andrea
TI  - An Open-Source Many-Scenario Approach for Power System Dynamic Simulation on HPC Clusters
JO  - Electronics
VL  - 10
IS  - 11
SN  - 2079-9292
CY  - Basel
PB  - MDPI
M1  - FZJ-2021-02420
SP  - 1330 -
PY  - 2021
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000659651400001
DO  - DOI:10.3390/electronics10111330
UR  - https://juser.fz-juelich.de/record/892893
ER  -