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Motor-Oriented Discrete State Event-Driven Method for Multitime-Scale Simulation of Power Traction Systems
IEEE Transactions on Transportation Electrification ( IF 7.2 ) Pub Date : 2021-01-20 , DOI: 10.1109/tte.2021.3053027
Jiahe Ju , Zhengming Zhao , Bochen Shi , Yicheng Zhu , Zhujun Yu

With the development of electric vehicles and high-speed train, the demand for power traction system (PTS) is on the rise. Its stability greatly relies on the performance of power traction converters, whose faults are mainly due to the microsecond- or nanosecond-level switching transient process. To avoid overheat or overvoltage failures, researchers should consider this ultrafast dynamics in power switches during the design phase, preanalyzing transient features such as voltage peak and power loss. Nevertheless, the simultaneous simulation of system dynamics and switching transient, namely multitime-scale simulation, is not easily achievable with current software because of their low efficiency and convergence issue. While the discrete state event-driven (DSED) approach can realize efficient multitime-scale simulation for converters, it is incapable of solving circuits connected with nonlinear elements, e.g., motors. This article demonstrates a motor-oriented interfacing derivative (MID) method for connecting motors with power electronic circuits based on DSED. With this method, a multitime-scale platform capable of simulating large-scale PTSs while providing detailed information such as switching transients is built, which is potentially an accurate and efficient tool for system design. Using this platform, the simulation of modular multilevel converter traction system could be finished 200 times faster than the existing commercial multitime-scale simulation software while being capable of capturing switching transient. The proposed MID method enables an efficient multitime-scale numerical platform for PTSs, which facilitates the overall and iterative design for traction systems, especially those of large scale.

中文翻译:

用于动力牵引系统多时间尺度仿真的面向电机的离散状态事件驱动方法

随着电动汽车和高速列车的发展,对动力牵引系统(PTS)的需求不断上升。其稳定性在很大程度上依赖于电力牵引变流器的性能,其故障主要是由于微秒或纳秒级的开关瞬态过程。为避免过热或过压故障,研究人员应在设计阶段考虑电源开关中的这种超快动态,预先分析电压峰值和功率损耗等瞬态特征。然而,系统动力学和开关瞬态的同时仿真,即多时间尺度仿真,由于其低效率和收敛问题,用当前软件不容易实现。虽然离散状态事件驱动 (DSED) 方法可以实现转换器的高效多时间尺度仿真,无法求解与非线性元件(如电机)相连的电路。本文展示了一种基于 DSED 的面向电机的接口衍生 (MID) 方法,用于连接电机与电力电子电路。通过这种方法,构建了一个能够模拟大规模 PTS 的多时间尺度平台,同时提供开关瞬态等详细信息,这可能是一种准确有效的系统设计工具。使用该平台,模块化多电平变流器牵引系统的仿真可以比现有的商用多时间尺度仿真软件快 200 倍,同时能够捕获开关瞬态。所提出的 MID 方法为 PTS 提供了一个有效的多时间尺度数值平台,
更新日期:2021-01-20
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