Research on Energy-saving Collaborative Optimization Method for Multiple Trains Considering Renewable Energy Utilization

Abstract

In the urban rail transit system, the energy consumption of train operation accounts for more than half of the total energy consumption of the system. How to improve the utilization of renewable energy has gradually become a research focus. Based on the establishment of a single-train station optimization model with the goal of minimizing energy consumption, the mutual utilization of regenerative braking energy between multiple trains is also considered. The duration of the traction phase, the stopping time and the departure interval are used as independent variables. Maximizing the overlap time used for regenerative braking is the objective function to construct a collaborative optimization model of multi-train operation, and solve the built model through genetic algorithm. Energy-saving optimization of multiple trains usually increases the duration of the traction phase, leading to an increase in the traction energy consumption of a single train; and the energy-saving optimization method between single train stations can significantly reduce the traction energy consumption. So the two models are combined for collaborative analysis. And through the simulation analysis of the line example, the optimization plan is compared with the initial plan, and the optimization effect is relatively ideal.