利用先进计算技术加速电力电子仿真的定量分析

Yi Li, Cayden Wagner, C. Edrington, Shuangshuang Jin, Zheyu Zhang
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引用次数: 1

摘要

由于电力电子技术和应用的进步,例如基于高频宽带隙(WBG)的功率转换,新兴关键任务和/或成本效益应用的转换器寿命可靠性评估的高保真仿真需求,以及由多个转换器支持的未来电力和能源系统,电力电子转换器的加速执行速度越来越受到关注。然而,由于高频操作和由此产生的计算负担,仿真挑战显现出来。本文试图利用已在电力系统仿真中得到成功验证的先进计算技术,对仿真加速的有效性进行定量研究。首先,提出了一种方法,以商用MATLAB/Simulink软件为基准,以数学模型(数值版和解析版)、Julia实现和利用并行计算技术改进的模型为基础,进行定量的综合比较。其次,基于所提出的方法,对广泛应用的双电平电压源变换器进行了实例研究,并总结了比较结果。研究了开关频率的影响。可以观察到,与MATLAB/Simulink基准测试相比,使用先进的计算技术,仿真速度提高了43.8倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative Analysis of Accelerated Power Electronics Simulation Using Advanced Computing Technology
Acceleration of execution speed in power electronics converters attracts increasing attention because of the advancement of power electronics technology and applications, such as high-frequency wide band-gap (WBG)-based power conversion, high-fidelity simulation needs over converter lifetime for reliability assessment on emerging mission-critical and/or cost-efficient applications, and future power and energy system enabled by multiple converters. However, simulation challenges show up due to high-frequency operation and resultant computational burden. This paper attempts to leverage the advanced computing technology, which has been successfully demonstrated in power system simulation, and performs the quantitative study to demonstrate the effectiveness of simulation acceleration. First, a methodology is proposed for a comprehensive comparison in a quantitative manner, starting from commercial MATLAB/Simulink software as the benchmark along with mathematical model (numerical and analytical version), Julia implementation, and improved model using paralleling computing techniques. Second, based on the proposed methodology, a case study with the widely applied two-level voltage source converter is performed and the comparison results are summarized. The impact of switching frequency is also investigated. It is observed that the simulation speeds up by a factor of 43.8 using advanced computing technology as compared to the MATLAB/Simulink benchmark.
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