Journal Article

FZJ-2021-02420

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png An Open-Source Many-Scenario Approach for Power System Dynamic Simulation on HPC Clusters

Zhang, J.FZJ* ; Razik, L. (Corresponding author)FZJ* ; Jakobsen, S. H. ; D’Arco, S. ; Benigni, A.FZJ*

2021
MDPI Basel

This record in other databases:    

Please use a persistent id in citations: http://hdl.handle.net/2128/28709  doi:10.3390/electronics10111330

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.

---

Contributing Institute(s):

1. Modellierung von Energiesystemen (IEK-10)

Research Program(s):

1. 1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112) (POF4-112)

Appears in the scientific report 2021

---

Database coverage:
; ; ; ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---