Abstract
The simulation of railway systems plays a key role in designing the traction power supply network, managing the train operation, and making changes to timetables. Various simulation technologies have been developed to study the railway traction power network and train operation independently. However, the interactions between the load performance, train operation, and fault conditions are not fully understood. This paper proposes a mathematical modeling method to simulate the railway traction power network with a consideration of a multi-train operation, driving controls, under-voltage traction, and substation fault modes. The network voltage, power load demands, and energy consumption according to the existing operation are studied. The hotspots of the power supply network are identified based on an evaluation of the train operation and power demand. The impact of traction power substation (TPSS) outage and a short circuit on the power supply network have been simulated and analyzed. The simulation results have been analyzed and compared with those of a normal operation. A case study based on a practical metro line in Singapore is developed to illustrate the power network evaluation performance.
Highlights
Due to the increasing passenger flow demand and environmental concerns, upgrading the railway traction power supply system and energy-efficient train control is becoming an important aspect of train operations
The total energy consumption of all traction power substation (TPSS) decreases with the headway time; The maximum energy consumption occurs at TPSS-6 for the cases which are shown in red
This is consistent with the fact that the rated tractive power of TPSS-6 is 3 MW × 2, which is higher than other the TPSS; The second highest energy consumption occurs at TPSS-12 for the cases; The energy consumption of each TPSS varies with different timetables
Summary
Due to the increasing passenger flow demand and environmental concerns, upgrading the railway traction power supply system and energy-efficient train control is becoming an important aspect of train operations. A number of studies have proposed and developed different solutions for calculating and simulating the railway power supply network system from different theoretical points of view to understand traction power flow. With the introduction of regenerative trains in modern metro systems, energy evaluation of the traction power supply network has become more complex, requiring a more accurate model to solve the power flow [8]. The author developed an approach to help the train driver identify an optimal control strategy for reducing the train’s energy consumption. This approach has been applied in daily services and achieved satisfying results [24,25]. The calculated fault identification result is compared with practical data, which proves that the proposed method achieves a great accuracy and efficiency
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