Coordinated energy-saving optimization of coupled multi-system traction in urban rail transit
LIANG Jianying
Abstract：Current research on optimizing and controlling traction energy consumption in urban rail transit has largely focused on localized improvements within single systems,making it difficult to coordinate inter-system coupling and achieve global energy efficiency.To address this problem,this study proposes a multi-system collaborative optimization method that integrates power supply,vehicles,and opera-tions.By analyzing the circulation paths of traction energy consumption and the inter-dependencies among decision variables,a four-layer global optimization framework is developed.The first layer opti-mizes single-train driving curves according to specified interval running times,identifying energy-minimal trajectories under constraints such as punctuality,comfort,and speed limits.The second layer optimizes inter-station running times by adjusting train travel durations between adjacent stations,thereby minimizing overall line energy consumption while ensuring that the total turnaround time equals the given value.The third layer focuses on optimizing multi-train energy-efficient timetables.By adjust-ing departure intervals and dwell times,this layer reduces total traction energy consumption while balanc-ing passengers'average waiting times through multi-train coordination.The fourth layer addresses threshold optimization of energy storage and inverter devices.The results of the first three layers of the train scheduling and control optimization process are used to inform the adoption of a grid-voltage-based control strategy.Simulation studies are undertaken in actual line operations.Simulation results demon-strate that the proposed global optimization reduces system traction energy consumption by 13.24%,while increasing passengers'average waiting time by only 12 seconds.These results verify the effective-ness of the proposed coupled energy-saving optimization method and provide a theoretical foundation for the comprehensive optimization and control of traction energy consumption in urban rail transit.
Keywords：urban rail transittraction energy optimizationmulti-system coupled optimizationregen-erative energy utilizationenergy management
Publication Date：2025-10-30
Online Publishing Date：2025-11-06(First online date of this platform, not the publication date of the document)
Pages：9( 123-131 )