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

机译:使用多核对称共享内存计算机并行优化功率流

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摘要

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.
机译:近年来看到的多核微处理器的繁荣使它成为可能,因此任何个人计算机(PC)都可以用作小型并行计算机。在这种新环境中,需要对用于电气系统分析的算法和工具进行审查,以利用当今PC上可用的所有计算能力。本文介绍了一种最佳潮流(OPF)的并行化方法,该方法可通过预测器-校正器内点法(PCIPM)求解。 OpenMP是具有共享内存的对称机的编程模型,将用于并行化。

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