Abstract
AC heavy-haul trains produce a huge amount of regenerative braking energy when they run on long downhill sections. If this energy can be used by uphill trains in the same power supply section, a reduction in coal transportation cost and an improvement in power quality would result. To accurately predict the energy consumption and regenerative braking energy of heavy-haul trains on large long slopes, a single-particle model of train dynamics was used. According to the theory of railway longitudinal section simplification, the energy consumption and the regenerative braking energy model of a single train based on the train attributes, line conditions, and running speed was established. The model was applied and verified on the Shenshuo Railway. The results indicate that the percentage error of the proposed model is generally less than 10%. The model is a convenient and simple research alternative, with strong engineering feasibility. Based on this foundation, a model of train energy consumption was established under different interval lengths by considering the situation of regenerative braking energy in the multi-train operation mode. The model provides a theoretical foundation for future train diagram layout work with the goal of reducing the total train energy consumption.
Highlights
Most of China’s coal resources are concentrated in Shanxi, Shaanxi, and western Inner Mongolia, whereas East China and South China are the major coal consumption areas
If the feedback power cannot be used by other loads in the same traction substation, or the braking power exceeds the power required by other loads, the excess energy flows to the public power grid [6,7,8]
Where Wf = f ds is the work of the basic resistance f ; Wf’ = f’ds is the work of the additional resistance f’; ∆E is the change in the kinetic energy; and η 1,k is the additional coefficient of energy consumption in the k-th uphill interval, which can be regarded as a constant considering the power factor, electrical equipment efficiency, mechanical transmission efficiency, and line characteristics
Summary
Most of China’s coal resources are concentrated in Shanxi, Shaanxi, and western Inner Mongolia, whereas East China and South China are the major coal consumption areas. The purpose of this study was to establish a simple mathematical model for predicting train energy consumption and regenerative braking energy, and to predict power consumption in all power supply sections and multiple trains running on large long-slope lines, and lay on the optimization of the operation map with the lowest energy consumption. For this reason, the model requires certain accuracy, and must be simple to reduce the energy consumption forecast and the calculation amount when the running chart is optimized.
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