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Large-Scale Transient Stability Simulation on Graphics Processing Units

机译:图形处理单元上的大规模瞬态稳定性仿真

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Graphics processing units (GPUs) have recently attracted a lot of interest in several fields struggling with massively large computation tasks. The application of a GPU for fast and accurate transient stability simulation of the large-scale power systems is presented in this paper. The computationally intensive parts of the simulation were offloaded to the GPU to co-operate with the CPU. As such, a hybrid GPU-CPU simulator is configured. The accuracy of the proposed simulation approach has been validated by using the PSS/E software. The computation time of the simulation performed by co-processing of GPU-CPU has been compared with that of the CPU-only simulation. Several test cases have been used to demonstrate the significant acceleration of the GPU-CPU simulation. A speed-up of 345 is reported for a 320 generator and 1248 bus power system.
机译:图形处理单位(GPU)最近吸引了很多兴趣的几个领域,努力争夺了大量的计算任务。本文介绍了GPU对快速和精确的瞬态稳定性模拟的大型电力系统的应用。模拟的计算密集部分被卸载到GPU以与CPU合作。因此,配置混合GPU-CPU模拟器。通过使用PSS / E软件验证了所提出的仿真方法的准确性。将通过GPU-CPU的协同处理执行的模拟的计算时间与仅CPU的模拟的共同处理。几种测试用例已被用于演示GPU-CPU仿真的显着加速度。报告了320个发生器和1248总线电力系统的速度为345。

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