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An Open-Source Many-Scenario Approach for Power System Dynamic Simulation on HPC Clusters

An Open-Source Many-Scenario Approach for Power System Dynamic Simulation on HPC Clusters

Category
Academic article
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. View Full-Text
Keywords: parallel simulation; distributed simulation; object-oriented modeling; equation-based modeling; high-performance computing; message-passing interface; Modelica; power system simulation; common information model
Client
  • Research Council of Norway (RCN) / 280967
Language
English
Author(s)
Affiliation
  • Research Centre Jülich
  • SINTEF Energy Research / Energisystemer
  • Aachen University of Technology
Year
Published in
Electronics
ISSN
2079-9292
Publisher
MDPI
Volume
10
Issue
11