Home > Publications database > Shifted frequency analysis based, faster-than-real-time simulation of power systems on graphics processing unit > print |
001 | 1026504 | ||
005 | 20250204113856.0 | ||
024 | 7 | _ | |a 10.1016/j.ijepes.2024.110014 |2 doi |
024 | 7 | _ | |a 0142-0615 |2 ISSN |
024 | 7 | _ | |a 1879-3517 |2 ISSN |
024 | 7 | _ | |a 10.34734/FZJ-2024-03446 |2 datacite_doi |
024 | 7 | _ | |a WOS:001239362400001 |2 WOS |
037 | _ | _ | |a FZJ-2024-03446 |
082 | _ | _ | |a 620 |
100 | 1 | _ | |a Zhang, Junjie |0 P:(DE-Juel1)180837 |b 0 |e Corresponding author |u fzj |
245 | _ | _ | |a Shifted frequency analysis based, faster-than-real-time simulation of power systems on graphics processing unit |
260 | _ | _ | |a Amsterdam [u.a.] |c 2024 |b Elsevier Science |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1738315190_12723 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a 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. |
536 | _ | _ | |a 1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112) |0 G:(DE-HGF)POF4-1122 |c POF4-112 |f POF IV |x 0 |
536 | _ | _ | |a DFG project G:(GEPRIS)450829162 - Raum-Zeit-parallele Simulation multimodale Energiesystemen (450829162) |0 G:(GEPRIS)450829162 |c 450829162 |x 1 |
588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
700 | 1 | _ | |a Mittenbühler, Marcel |0 P:(DE-Juel1)187421 |b 1 |
700 | 1 | _ | |a Benigni, Andrea |0 P:(DE-Juel1)179029 |b 2 |u fzj |
773 | _ | _ | |a 10.1016/j.ijepes.2024.110014 |g Vol. 159, p. 110014 - |0 PERI:(DE-600)2001425-9 |p 110014 - |t International journal of electrical power & energy systems |v 159 |y 2024 |x 0142-0615 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1026504/files/1-s2.0-S0142061524002357-main.pdf |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:1026504 |p openaire |p open_access |p OpenAPC |p driver |p VDB |p openCost |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)180837 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)179029 |
913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Energiesystemdesign (ESD) |1 G:(DE-HGF)POF4-110 |0 G:(DE-HGF)POF4-112 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Digitalisierung und Systemtechnik |9 G:(DE-HGF)POF4-1122 |x 0 |
914 | 1 | _ | |y 2024 |
915 | p | c | |a APC keys set |0 PC:(DE-HGF)0000 |2 APC |
915 | p | c | |a Local Funding |0 PC:(DE-HGF)0001 |2 APC |
915 | p | c | |a DFG OA Publikationskosten |0 PC:(DE-HGF)0002 |2 APC |
915 | p | c | |a DEAL: Elsevier 09/01/2023 |0 PC:(DE-HGF)0125 |2 APC |
915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-08-23 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-08-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2024-04-15T09:28:30Z |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2024-04-15T09:28:30Z |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Anonymous peer review |d 2024-04-15T09:28:30Z |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2024-12-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1160 |2 StatID |b Current Contents - Engineering, Computing and Technology |d 2024-12-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2024-12-18 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b INT J ELEC POWER : 2022 |d 2024-12-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2024-12-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2024-12-18 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2024-12-18 |
915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b INT J ELEC POWER : 2022 |d 2024-12-18 |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)ICE-1-20170217 |k ICE-1 |l Modellierung von Energiesystemen |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)ICE-1-20170217 |
980 | _ | _ | |a APC |
980 | 1 | _ | |a APC |
980 | 1 | _ | |a FullTexts |
981 | _ | _ | |a I:(DE-Juel1)ICE-1-20170217 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|