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@ARTICLE{Zhang:1026504,
author = {Zhang, Junjie and Mittenbühler, Marcel and Benigni,
Andrea},
title = {{S}hifted frequency analysis based, faster-than-real-time
simulation of power systems on graphics processing unit},
journal = {International journal of electrical power $\&$ energy
systems},
volume = {159},
issn = {0142-0615},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2024-03446},
pages = {110014 -},
year = {2024},
abstract = {In this paper we present a scalable approach based on the
latency-based linear multistep compound method to use
graphic processing unit (GPU) to accelerate the power system
simulations with electromagnetic transients.To balance
between the computational load and accuracy, we modeled the
power system using shifted frequency analysis. Then, to
efficiently exploit the hardware, our computational approach
is designed to utilize both data-parallel and task-parallel
execution. In addition, a graph-based thread safety design
is introduced to achieve high scalability in the paralleled
component computations. Furthermore, our implementation
introduces a translation layer for different heterogeneous
computing frameworks during compile time, so that a wide
range of GPU devices can be supported without losing
performance. Finally, benchmark results show that our
approach achieves faster-than-real-time capability for
systems with hundreds to thousands of nodes.},
cin = {ICE-1},
ddc = {620},
cid = {I:(DE-Juel1)ICE-1-20170217},
pnm = {1122 - Design, Operation and Digitalization of the Future
Energy Grids (POF4-112) / DFG project G:(GEPRIS)450829162 -
Raum-Zeit-parallele Simulation multimodale Energiesystemen
(450829162)},
pid = {G:(DE-HGF)POF4-1122 / G:(GEPRIS)450829162},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001239362400001},
doi = {10.1016/j.ijepes.2024.110014},
url = {https://juser.fz-juelich.de/record/1026504},
}