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@INPROCEEDINGS{Zhang:1005140,
author = {Zhang, Junjie and Mittenbuehler, Marcel and Razik, Lukas
and Benigni, Andrea},
title = {{P}arallel {S}imulation of {P}ower {S}ystems with {H}igh
{P}enetration of {D}istributed {G}eneration {U}sing {GPU}s
and {O}pen{CL}},
publisher = {IEEE},
reportid = {FZJ-2023-01328},
pages = {1-6},
year = {2022},
comment = {2022 IEEE 13th International Symposium on Power Electronics
for Distributed Generation Systems (PEDG) : [Proceedings] -
IEEE, 2022. - ISBN 978-1-6654-6618-9 -
doi:10.1109/PEDG54999.2022.9923084},
booktitle = {2022 IEEE 13th International Symposium
on Power Electronics for Distributed
Generation Systems (PEDG) :
[Proceedings] - IEEE, 2022. - ISBN
978-1-6654-6618-9 -
doi:10.1109/PEDG54999.2022.9923084},
abstract = {In this paper, we present the use of parallel-in-space
simulation approach to accelerate the dynamic simulation of
power systems with high penetration of distributed
generation, i. e. high number of power electronic devices.
The approach is implemented using the OpenCL framework and
executed on a graphic processing unit (GPU). We benchmark
our prototype implementation using a distribution network
with increasing number of distributed generator which is
modeled by voltage source inverter. Results show that the
computation time for the distributed generators solution
stays nearly constant with the increasing number of the
distributed generators in the network.},
month = {Jun},
date = {2022-06-26},
organization = {2022 IEEE 13th International Symposium
on Power Electronics for Distributed
Generation Systems (PEDG), Kiel
(Germany), 26 Jun 2022 - 29 Jun 2022},
cin = {IEK-10},
cid = {I:(DE-Juel1)IEK-10-20170217},
pnm = {1121 - Digitalization and Systems Technology for
Flexibility Solutions (POF4-112)},
pid = {G:(DE-HGF)POF4-1121},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
UT = {WOS:000943515500081},
doi = {10.1109/PEDG54999.2022.9923084},
url = {https://juser.fz-juelich.de/record/1005140},
}