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

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.