NDLI: Periodic steady state determination of power systems using graphics processing units

Content Provider	IEEE Xplore Digital Library
Author	Magana-Lemus, E. Medina-Rios, A. Ramos-Paz, A. Montesinos-Gonzalez, V.H.
Copyright Year	2013
Description	Author affiliation: Div. de Estudios de Postgrado, Univ. Michoacana de San Nicolas de Hidalgo (UMSNH), Morelia, Mexico (Magana-Lemus, E.; Medina-Rios, A.; Ramos-Paz, A.; Montesinos-Gonzalez, V.H.)
Abstract	Modern advances in computer technology will definitely have a great impact on the methodologies used in the expansion and operational planning of power systems. Parallel and distributed systems are the new tendencies in technologies that present a great potential for application in these areas. Graphics processing units (GPUs) have recently become popular in several fields of science due to their capability of performing massively large computational tasks. The use of a GPU for efficiently obtaining the periodic steady state solution in the time domain of large-scale electric power systems with nonlinear components is presented in this paper. Two programming models of the numerical differentiation process are proposed and implemented on a single GPU. The computation time of the simulation performed by co-processing GPU-CPU has been compared with the simulation time required when using a conventional CPU. Several test cases have been analyzed to demonstrate the acceleration of the GPU-CPU simulation and the speed-up achieved.
Starting Page	274
Ending Page	279
File Size	953087
Page Count	6
File Format	PDF
e-ISBN	9781479914616
DOI	10.1109/ICEEE.2013.6676012
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-30
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CUDA Transition matrix Newton techniques Limit cycle Steady state solution Graphics processing unit
Content Type	Text
Resource Type	Article

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