Abstract

With the rapid development of energy storage technology, energy storage has become the international mainstream solution to the problem of urban rail regenerative energy utilization, including both wayside and on-board applications. Since neither a single wayside energy storage system nor a on-board energy storage system can effectively reduce the probability of failure of regenerative braking recovery under the premise of ensuring the energy saving rate, in order to improve the utilization rate of regenerative braking energy, this paper proposes to replace the braking resistors with the on-board energy storage systems, combined with the wayside energy storage systems, absorbs the regenerative braking energy of the train, effectively suppressing the failure of the regenerative braking recovery. In this paper, the non-dominated genetic algorithm with elite strategy is used to optimize the capacity configuration of the on-board and wayside energy storage systems, while improving the energy-saving and economic benefits of the energy storage system, and enabling the on-board energy storage system to provide emergency traction energy for trains. The optimized capacity configuration results increase the energy saving rate to 22.6% and reduce the regeneration failure rate to 5.1%. The optimization results of capacity configuration lay the foundation for the subsequent research on the coordinated energy management strategy between the on-board energy storage system and the wayside energy storage system.KeywordsUrban rail transitEnergy Storage System (ESS)Non-dominated genetic algorithmCapacity configuration

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