Urban rail transit vehicle-ground energy storage system coordination optimization method based on information interaction

Abstract

An urban rail transit train-ground energy storage system coordination optimization method based on information interaction aims at a scene that a traction substation is provided with a ground energy storage system and a train is provided with a train-mounted energy storage system, and is based on line conditions, a train working diagram and a traction braking characteristic curve, off-line state parameters of the traction substation, the vehicle-mounted energy storage system and the ground energy storage system are obtained through the optimization model and power flow analysis; real-time state parameters of the urban rail train, the vehicle-mounted energy storage system, the ground energy storage system and the traction substation are monitored by using a communication means; and based on the deviation between the real-time state parameters and the off-line state parameters, the train and ground energy storage systems are adjusted and controlled in real time, regenerative braking energy of a braking train is efficiently absorbed, energy waste and tunnel temperature rise are reduced, meanwhile, network voltage fluctuation is restrained, the peak output power of a transformer substation is reduced, and when a power supply system fails, emergency traction can be carried out on the train and auxiliary system emergency power supply can be realized.

Description

technical field [0001] The invention relates to the field of high-efficiency utilization of regenerative braking energy in urban rail transit, and more specifically, to a method for coordinating and optimizing the energy storage system of urban rail transit vehicles based on information interaction. Background technique [0002] In order to solve social problems such as traffic congestion and environmental pollution, it has become the consensus of the whole society to vigorously develop fast-speed, large-capacity, efficient, environmentally friendly, safe and reliable urban rail transit. However, with the rapid growth of urban rail transit network scale, its energy consumption problem has become increasingly prominent. Under the background of building a resource-saving and environment-friendly society in my country, the energy saving and consumption reduction of the urban rail system has significant economic benefits and important ecological benefits. [0003] Because urban...

AI Technical Summary

Problems solved by technology

The third is to propose the concept of using the vehicle-ground energy storage system to absorb the regenerative braking energy of trains, but it does not consider the coupling relationship between vehicle-ground energy storage systems, multiple ground energy storage systems, energy storage systems, substations, and trains

For example, the patent application CN109617207 only proposes to turn on the on-board super capacitor energy storage mode when it is predicted that the ground cannot absorb the remaining regenerative braking energy, but it does not consider the information interaction between different energy storage systems, energy storage systems, trains, and substations

[0010] Patent application CN106809027 discloses the brake recovery system and method of the train and the train using the brake recovery system, which realizes the on-board energy storage system (bidirectional DC / DC converter and super capacitor) and the ground energy storage system (switch cabinet and battery module) ) regenerates and stores the braking energy, and the distribution of the braking energy between the on-board energy storage system, the ground energy storage system and the traction station is controlled by the controller according to the relationship between the traction network voltage and the preset voltage threshold, However, for multi-train application scenarios, the control system is complicated due to the large number of control voltage thresholds; between the on-board energy storage system and the ground energy storage system, each controller operates discretely according to the preset threshold value, and the change of the traction grid voltage cannot be given. Coordinated optimization control strategy, so regenerative failure faults occur

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