目前,面向牵引的电力电子变换器应用广泛,但是这类大功率装置对可靠性的要求较高,并且需要避免器件应力导致的过压问题,因而对直流母线电压的稳定性提出了很高的要求。由于牵引变流器的工况随着机车运行情况的变化而变化,因此其单向整...目前,面向牵引的电力电子变换器应用广泛,但是这类大功率装置对可靠性的要求较高,并且需要避免器件应力导致的过压问题,因而对直流母线电压的稳定性提出了很高的要求。由于牵引变流器的工况随着机车运行情况的变化而变化,因此其单向整流器的控制策略应具有可靠的高性能,以保证直流母线电压的抗扰性和随动性。该文提出针对牵引变流器的单相整流器能量平衡控制策略,该策略能够提高单相整流器动态性能。在研究控制策略的过程中,需要进行多组参数的对比测试以及多种工况的仿真,因此需要一种高效、高精度、收敛性好的仿真工具。该文利用离散状态事件驱动(discrete state event driven,DSED)仿真方法,针对牵引变流器搭建了数值仿真平台,在同平台实现了多时间尺度(系统级动态过程和器件级瞬态过程)的高效、准确仿真评估。基于DSED牵引变流器仿真平台,将单相能量平衡控制与经典PI控制方法进行了对比。实验结果表明:能量平衡控制在各类动态过程中均表现出响应速度快,有效抑制直流母线波动的特点。同时,结合能量平衡控制与模组电容连接母排结构,能够明显减小关断电应力和器件使用所需留出的余量。展开更多
This research involved an exploratory evaluation of the dynamics of vehicular traffic on a road network across two traffic light-controlled junctions. The study uses the case study of a one-kilometer road system model...This research involved an exploratory evaluation of the dynamics of vehicular traffic on a road network across two traffic light-controlled junctions. The study uses the case study of a one-kilometer road system modelled on Anylogic version 8.8.4. Anylogic is a multi-paradigm simulation tool that supports three main simulation methodologies: discrete event simulation, agent-based modeling, and system dynamics modeling. The system is used to evaluate the implication of stochastic time-based vehicle variables on the general efficiency of road use. Road use efficiency as reflected in this model is based on the percentage of entry vehicles to exit the model within a one-hour simulation period. The study deduced that for the model under review, an increase in entry point time delay has a domineering influence on the efficiency of road use far beyond any other consideration. This study therefore presents a novel approach that leverages Discrete Events Simulation to facilitate efficient road management with a focus on optimum road use efficiency. The study also determined that the inclusion of appropriate random parameters to reflect road use activities at critical event points in a simulation can help in the effective representation of authentic traffic models. The Anylogic simulation software leverages the Classic DEVS and Parallel DEVS formalisms to achieve these objectives.展开更多
文摘目前,面向牵引的电力电子变换器应用广泛,但是这类大功率装置对可靠性的要求较高,并且需要避免器件应力导致的过压问题,因而对直流母线电压的稳定性提出了很高的要求。由于牵引变流器的工况随着机车运行情况的变化而变化,因此其单向整流器的控制策略应具有可靠的高性能,以保证直流母线电压的抗扰性和随动性。该文提出针对牵引变流器的单相整流器能量平衡控制策略,该策略能够提高单相整流器动态性能。在研究控制策略的过程中,需要进行多组参数的对比测试以及多种工况的仿真,因此需要一种高效、高精度、收敛性好的仿真工具。该文利用离散状态事件驱动(discrete state event driven,DSED)仿真方法,针对牵引变流器搭建了数值仿真平台,在同平台实现了多时间尺度(系统级动态过程和器件级瞬态过程)的高效、准确仿真评估。基于DSED牵引变流器仿真平台,将单相能量平衡控制与经典PI控制方法进行了对比。实验结果表明:能量平衡控制在各类动态过程中均表现出响应速度快,有效抑制直流母线波动的特点。同时,结合能量平衡控制与模组电容连接母排结构,能够明显减小关断电应力和器件使用所需留出的余量。
文摘This research involved an exploratory evaluation of the dynamics of vehicular traffic on a road network across two traffic light-controlled junctions. The study uses the case study of a one-kilometer road system modelled on Anylogic version 8.8.4. Anylogic is a multi-paradigm simulation tool that supports three main simulation methodologies: discrete event simulation, agent-based modeling, and system dynamics modeling. The system is used to evaluate the implication of stochastic time-based vehicle variables on the general efficiency of road use. Road use efficiency as reflected in this model is based on the percentage of entry vehicles to exit the model within a one-hour simulation period. The study deduced that for the model under review, an increase in entry point time delay has a domineering influence on the efficiency of road use far beyond any other consideration. This study therefore presents a novel approach that leverages Discrete Events Simulation to facilitate efficient road management with a focus on optimum road use efficiency. The study also determined that the inclusion of appropriate random parameters to reflect road use activities at critical event points in a simulation can help in the effective representation of authentic traffic models. The Anylogic simulation software leverages the Classic DEVS and Parallel DEVS formalisms to achieve these objectives.
