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首页> 外文期刊>IEEE Transactions on Industrial Electronics >Exact Nonlinear Micromodeling for Fine-Grained Parallel EMT Simulation of MTDC Grid Interaction With Wind Farm
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Exact Nonlinear Micromodeling for Fine-Grained Parallel EMT Simulation of MTDC Grid Interaction With Wind Farm

机译：MTDC网格与风电场相互作用的细粒度并行EMT仿真的精确非线性微观建模

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摘要

Detailed high-order models of the insulated-gate bipolar transistor (IGBT) and the diode are rarely included in power converters for large-scale system-level electromagnetic transient (EMT) simulation on the CPU, due to the nonlinear characteristics albeit they are more accurate. The massively parallel architecture of the graphics processing unit (GPU) enables a lower computational burden by avoiding the computation of complex devices repetitively in a sequential manner and thus is utilized in this paper to simulate the wind farm-integrated multiterminal dc (MTdc) grid based on the modular multilevel converter (MMC). Fine-grained circuit partitioning is proposed so that the nonlinear switching elements are physically separated with the smallest circuit unit. By implementing these subsystems with the same attributes as a GPU program and computing it in a massively parallel manner, it is demonstrated that the GPU is able to achieve a significant speedup over multicore CPUs and its computation time incremental is much smaller when the MMC level scales up. The improved insight and accuracy of the proposed modeling methodology and the designed GPU program are validated at the system- and device-level by off-line commercial simulation tools.
机译：由于非线性特性，绝缘栅双极晶体管（IGBT）和二极管的详细高阶模型很少包含在功率转换器中，用于在CPU上进行大规模系统级电磁瞬变（EMT）仿真，尽管它们具有更多的非线性特性。准确。图形处理单元（GPU）的大规模并行体系结构通过避免以顺序方式重复计算复杂设备而降低了计算负担，因此在本文中用于模拟基于风电场的多终端dc（MTdc）集成电网在模块化多电平转换器（MMC）上。提出了细粒度的电路划分方法，以便用最小的电路单元将非线性开关元件物理隔离。通过以与GPU程序相同的属性实现这些子系统并以大规模并行方式对其进行计算，证明了GPU能够比多核CPU显着提高速度，并且当MMC级别扩展时，其计算时间增量要小得多。起来离线商业仿真工具在系统和设备级别验证了所提出的建模方法和设计的GPU程序的改进的洞察力和准确性。

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