多车辆与牵引网络交互系统稳定性分析及振荡责任识别
Multiple Vehicles and Traction Network Interaction System Stability Analysis and Oscillation Responsibility Identification
AI总结：
针对铁路系统车辆与牵引网络电气不兼容致系统不稳定等问题，提出基于组件连接的建模方法及多级灵敏度分析方法，可识别关键车辆和参数，还给出系统级测试流程，经案例研究验证了方法正确性。
AI中文摘要：
铁路系统中车辆与牵引网络间的电气不兼容性会导致系统不稳定和振荡过电压问题。常用基于阻抗的频域方法分析系统稳定性，但当前基于阻抗的建模方法在实际应用中面临挑战。本文提出基于组件连接的铁路车辆-电网系统建模方法，只需测量阻抗结果。引入多级灵敏度分析方法定量识别影响系统稳定性的关键车辆和内部参数，其计算复杂度优于传统方法。还提供了铁路车辆-电网系统级电气兼容性测试流程，并通过案例研究验证了所提方法的正确性。
英文摘要：
The electrical incompatibility between vehicles and traction network in railway system can result in system instability and oscillation overvoltage issues. To analyze the system stability, impedance-based frequency-domain methods are commonly used. However, the current impedance-based modeling methods face challenges in practical implementation due to the requirement of precise analytical models and detailed internal parameters for all vehicles. Moreover, multiple vehicles operate simultaneously in railway systems, each with different operating conditions and internal parameters, thereby influencing system stability to different extents. Therefore, it is crucial to accurately identify the critical vehicles to prevent resonance accidents. To address these challenges, a component connection-based modeling approach for the railway vehicle-grid system is proposed, which only requires the measured impedance results without the internal information of vehicles. In addition, a multilevel sensitivity analysis method is introduced to quantitatively identify the critical vehicles and internal parameters that influence system stability, which outperforms traditional sensitivity analysis methods in computational complexity. Furthermore, a system-level electrical compatibility test process for the railway vehicle-grid system is provided, incorporating the proposed stability and sensitivity analysis methods. Finally, case studies based on the real-world train schedule of a multivehicle-accessed railway vehicle-grid system are designed to verify the correctness of the proposed method.
