Collaborative Optimization Strategy of Urban Rail Train Operation Curve Based on Regenerative Braking Energy Utilization

Abstract

In order to reduce the traction energy consumption of urban rail transit system and effectively promote the sustainable development of the system, the optimization of urban rail train operation curve based on regenerative braking energy utilization is the most direct application method. Therefore, this article first establishes traction substation model, traction network model and train model with on-board brake resistance, and builds the simulation calculation platform for urban rail traction power supply system. Then, through the analysis of the typical dual train operation model, the optimization objective is to reduce the output energy of substation and reduce the start of on-board brake resistance. And for energy interaction period and non-interaction period, a two-stage optimization strategy is proposed to adjust the train operation curve. On this basis, according to the characteristics of train timetable, a collaborative optimization strategy of multi-train operation based on the sequence of train braking is proposed. Finally, a hardware-in-the-loop experiment platform is built to verify the optimization strategy of train operation curve under multiple operation scenarios. The results show that the strategy can effectively enhance the utilization of regenerative braking energy and improve the energy saving effect of the system.