Parallelization of an optimal power flow with a multicore symmetric shared memory computer

Author

Moreira, J.C. ; Míguez, E. ; Vilachá, C. ; Otero, Antonio F.

Author_Institution

Dept. de Enxeneria Electr., Univ. de Vigo, Vigo, Spain

fYear

2011

Firstpage

1

Lastpage

4

Abstract

The boom of multicore microprocessors seen in recent years has made it so any personal computer (PC) can be used as a small parallel computer. In this new environment a review of the algorithms and the tools used for the analysis of electrical systems is needed in order to take advantage of all the computing power available today on a PC. This paper presents the parallelization of an optimal power flow (OPF) which is solved with a predictor-corrector interior point method (PCIPM). OpenMP, a programming model for symmetric machines with shared memory, will be used for the parallelization.

Keywords

application program interfaces; load flow; microcomputers; microprocessor chips; power engineering computing; predictor-corrector methods; shared memory systems; OpenMP programming model; electrical system analysis; multicore microprocessors; multicore symmetric shared memory computer; optimal power flow parallelization; parallel computer; personal computer; predictor-corrector interior point method; symmetric machines; Computers; Equations; Jacobian matrices; Microprocessors; Prediction algorithms; Programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on

Conference_Location

Rome

Print_ISBN

978-1-4244-8779-0

Type

conf

DOI

10.1109/EEEIC.2011.5874767

Filename

5874767