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MGRIT-Based Multi-Level Parallel-in-Time Electromagnetic Transient Simulation

Author

Listed:
  • Julius Strake

    (Institut für Energie- und Klimaforschung (IEK), Energiesystemtechnik (IEK-10), Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52428 Jülich, Germany
    Faculty 4—Mechanical Engineering, RWTH Aachen University, 52056 Aachen, Germany)

  • Daniel Döhring

    (Institut für Energie- und Klimaforschung (IEK), Energiesystemtechnik (IEK-10), Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52428 Jülich, Germany)

  • Andrea Benigni

    (Institut für Energie- und Klimaforschung (IEK), Energiesystemtechnik (IEK-10), Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52428 Jülich, Germany
    Faculty 4—Mechanical Engineering, RWTH Aachen University, 52056 Aachen, Germany
    JARA-Office Jülich, Wilhelm-Johnen-Straße, 52425 Jülich, Germany)

Abstract

In this paper, we present an approach for multi-level parallel-in-time (PinT) electromagnetic transient (EMT) simulation. We evaluate the approach in the context of power electronics system-level simulation. While PinT approaches to power electronics simulations based on two-level algorithms have been thoroughly explored in the past, multi-level PinT approaches have not yet been investigated. We use the multigrid-reduction-in-time (MGRIT) method to parallelize a dedicated EMT simulation tool which is capable of switching between different converter models as it operates. The presented approach yields a time-parallel speed-up of up to 10 times compared to the sequential-in-time implementation. We also show that special care has to be taken to synchronize the time grids with the electronic components’ switching periods, indicating that further research into the usage of different models from adequate model hierarchies is necessary.

Suggested Citation

  • Julius Strake & Daniel Döhring & Andrea Benigni, 2022. "MGRIT-Based Multi-Level Parallel-in-Time Electromagnetic Transient Simulation," Energies, MDPI, vol. 15(21), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7874-:d:951462
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