TY - JOUR
T1 - Multiple Vehicles and Traction Network Interaction System Stability Analysis and Oscillation Responsibility Identification
AU - Meng, Xiangyu
AU - Zhang, Qiao
AU - Liu, Zhigang
AU - Hu, Guiyang
AU - Liu, Fang
AU - Zhang, Guinan
N1 - Publisher Copyright:
IEEE
PY - 2024/5/1
Y1 - 2024/5/1
N2 - 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. Additionally, a multi-level 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.
AB - 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. Additionally, a multi-level 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.
KW - Circuit stability
KW - compatibility test
KW - Impedance
KW - oscillation
KW - Power system stability
KW - Rail transportation
KW - Railway
KW - Sensitivity analysis
KW - sensitivity analysis
KW - stability
KW - Stability criteria
KW - Transformers
KW - vehicle-grid system
UR - http://www.scopus.com/inward/record.url?scp=85181568583&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/354f4969-e586-3ba2-8302-35889a6d2df3/
U2 - 10.1109/TPEL.2023.3347472
DO - 10.1109/TPEL.2023.3347472
M3 - Article
AN - SCOPUS:85181568583
SN - 0885-8993
VL - 39
SP - 6148
EP - 6162
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
IS - 5
ER -