基于平均化理论的PWM变流器电磁暂态快速仿真方法：(三)适用于图像处理器的改进EMTP并行仿真算法

GAO Haixiang

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基于平均化理论的PWM变流器电磁暂态快速仿真方法：(三)适用于图像处理器的改进EMTP并行仿真算法

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- 基于平均化理论的PWM变流器电磁暂态快速仿真方法：(三)适用于图像处理器的改进EMTP并行仿真算法
- Automation of Electric Power Systems Vol. 38, Issue 6, Pages: 43-48(2014)
- 作者机构：
  
  清华大学电机工程与应用电子技术系,北京市,100084
- 作者简介：
- 基金信息：
- DOI：
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- Published：2014
- 稿件说明：
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GAO Haixiang. [J]. Automation of electric power systems, 2014, 38(6): 43-48.
DOI：

GAO Haixiang. [J]. Automation of electric power systems, 2014, 38(6): 43-48. DOI：

摘要

智能电网技术的发展需要快速电磁暂态程序(EMTP)

而日益广泛应用的图像处理器(GPU)为电磁暂态仿真提供了高效的仿真环境和平台。文中首先提出了细粒度并行算法的运算级并行策略

即基于单指令多数据流(SIMD)的运算级并行策略和基于共享内存的运算级并行策略。随后

设计了应用这两种并行策略的改进电磁暂态细粒度并行算法。三相脉宽调制(PWM)变流器仿真测试表明

适用于GPU的细粒度并行算法能够在保证仿真正确性的同时

显著提高仿真效率

从而验证了基于GPU的细粒度并行仿真算法适用于带有开关过程和复杂控制的大规模电力系统快速电磁暂态仿真应用的可行性。

Abstract

Development of the smart grid technology requires fast electromagnetic transient simulation

which is provided with a highly-efficient simulation environment and platform by ever-increasing widely-used graphic processing unit (GPU). First

this paper puts forward two fine-grained parallel operational-level strategies

which are parallelisms based on single instruction multiple data (SIMD) and shared memory. Next

fine-grained parallel electromagnetic transient simulation algorithms for GPU are designed

and simulation procedures are implemented by adopting the two strategies in the improved electromagnetic transient algorithm. Test results of pulse-width modulation (PWM) converters show that

the fine-grained parallel simulation algorithm for GPU enhances simulation efficiency enormously while maintaining accuracy. It's also shown that the algorithm is especially useful when dealing with large system simulation problems.

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