Treffer: Parallel Massive-Thread Electromagnetic Transient Simulation on GPU

Title:
Parallel Massive-Thread Electromagnetic Transient Simulation on GPU
Source:
IEEE transactions on power delivery. 29(3):1045-1053
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2014.
Publication Year:
2014
Physical Description:
print, 28 ref
Original Material:
INIST-CNRS
Subject Terms:
Electrical engineering, Electrotechnique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Electrotechnique. Electroenergetique, Electrical engineering. Electrical power engineering, Electroénergétique, Electrical power engineering, Réseaux et lignes électriques, Power networks and lines, Théorie générale. Simulation, Theory. Simulation, Divers, Miscellaneous, Architecture parallèle, Parallel architectures, Composant passif, Passive component, Componente pasivo, En parallèle, Parallel, En paralelo, Etude comparative, Comparative study, Estudio comparativo, Evaluation performance, Performance evaluation, Evaluación prestación, Ligne transmission, Transmission line, Línea transmisión, Logiciel, Software, Logicial, Mappage, Mapping, Carta de datos, Matrice admittance, Admittance matrix, Matriz admitancia, Matériel informatique, Computer hardware, Hardware, Modélisation, Modeling, Modelización, Montage parallèle, Parallel connection, Acoplamiento derivación, Mémoire répartie, Distributed memory, Memoria compartida, Programmation parallèle, Parallel programming, Programación paralela, Programme transitoire électromagnétique, EMTP, Représentation graphique, Graphics, Grafo (curva), Réseau électrique, Electrical network, Red eléctrica, Simulation système, System simulation, Simulación sistema, Système grande taille, Large scale system, Sistema gran escala, Temps exécution, Execution time, Tiempo ejecución, Transmission donnée, Data transmission, Transmisión datos, Electromagnetic transient analysis, graphics processors, massive-thread, parallel algorithms, parallel programming, power system simulation
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2V4, Canada
ISSN:
0885-8977
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Electrical engineering. Electroenergetics
Accession Number:
edscal.28603711
Database:
PASCAL Archive

Weitere Informationen

The electromagnetic transient (EMT) simulation of a large-scale power system consumes so much computational power that parallel programming techniques are urgently needed in this area. For example, realistic-sized power systems include thousands of buses, generators, and transmission lines. Massive-thread computing is one of the key developments that can increase the EMT computational capabilities substantially when the processing unit has enough hardware cores. Compared to the traditional CPU, the graphic-processing unit (GPU) has many more cores with distributed memory which can offer higher data throughput. This paper proposes a massive-thread EMT program (MT-EMTP) and develops massive-thread parallel modules for linear passive elements, the universal line model, and the universal machine model for offline EMT simulation. An efficient node-mapping structure is proposed to transform the original power system admittance matrix into a block-node diagonal sparse format to exploit the massive-thread parallel GPU architecture. The developed MT-EMTP program has been tested on large-scale power systems of up to 2458 three-phase buses with detailed component modeling. The simulation results and execution times are compared with mainstream commercial software, EMTP-RV, to show the improvement in performance with equivalent accuracy.