TY - GEN
T1 - Electromagnetic transient simulation of large-scale electrical power networks using graphics processing units
AU - Kumar Debnath, Jayanta
AU - Fung, Wai Keung
AU - Gole, Aniruddha M.
AU - Filizadeh, Shaahin
PY - 2012/10/22
Y1 - 2012/10/22
N2 - In this paper electromagnetic transient (EMT) simulation of large scale power systems using graphics processing unit (GPU) based computing is demonstrated. As the size of power system networks increases, the simulation time using conventional central processing units (CPUs) based simulation increases drastically. This paper proposes a hybrid CPU-GPU environment for fast large scale power systems simulation. In this scheme the GPU is mainly deployed to perform the computationally intensive part of the simulation in parallel on its built-in multiple processing cores, and the CPU is assigned for other sequential jobs like flow control of the simulation and storing output data, etc. The GPU-based approach is used to simulate a network with 900 Buses, and it is shown that the CPU-GPU based implementation is 70 times faster than the conventional CPU-based implementations.
AB - In this paper electromagnetic transient (EMT) simulation of large scale power systems using graphics processing unit (GPU) based computing is demonstrated. As the size of power system networks increases, the simulation time using conventional central processing units (CPUs) based simulation increases drastically. This paper proposes a hybrid CPU-GPU environment for fast large scale power systems simulation. In this scheme the GPU is mainly deployed to perform the computationally intensive part of the simulation in parallel on its built-in multiple processing cores, and the CPU is assigned for other sequential jobs like flow control of the simulation and storing output data, etc. The GPU-based approach is used to simulate a network with 900 Buses, and it is shown that the CPU-GPU based implementation is 70 times faster than the conventional CPU-based implementations.
KW - Electromagnetic Transient Simulation
KW - GPU computing
KW - Graphics Processing Unit
KW - Parallel Processing
UR - http://www.scopus.com/inward/record.url?scp=84870469166&partnerID=8YFLogxK
U2 - 10.1109/CCECE.2012.6334886
DO - 10.1109/CCECE.2012.6334886
M3 - Conference contribution
AN - SCOPUS:84870469166
SN - 9781467314336
T3 - 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering: Vision for a Greener Future, CCECE 2012
BT - 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering
T2 - 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2012
Y2 - 29 April 2012 through 2 May 2012
ER -