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

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

Category

Academic article

Client

  • Research Council of Norway (RCN) / 280967

Language

English

Author(s)

Affiliation

  • Research Centre Jülich
  • SINTEF Energy Research / Energisystemer
  • Aachen University of Technology

Year

2021

Published in

Electronics

ISSN

2079-9292

Publisher

MDPI

Volume

10

Issue

11

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