Coordination and optimization method of urban rail transit vehicle-ground energy storage system based on information interaction

Abstract

A method for coordination and optimization of urban rail transit vehicle-ground energy storage system based on information interaction, for the scenario where traction substations are installed with ground energy storage systems and trains are installed with on-board energy storage systems, based on line conditions, train operation diagrams and traction braking characteristics curve, obtain the offline state parameters of traction substation, on-board energy storage system and ground energy storage system through optimization model and power flow analysis; use communication means to monitor the real-time status of urban rail trains, on-board energy storage system, ground energy storage system and traction substation parameters; based on the deviation between the real-time state parameters and the offline state parameters, adjust the control car and ground energy storage system in real time, absorb the regenerative braking energy of the braking train efficiently, reduce energy waste and tunnel temperature rise, and at the same time restrain the grid. It can reduce the voltage fluctuation, reduce the peak output power of the substation, and can implement emergency traction and auxiliary system emergency power supply to the train when the power supply system fails.

Description

technical field [0001] The invention relates to the field of efficient utilization of regenerative braking energy in urban rail transit, and more particularly, to a method for coordination and optimization of an urban rail transit vehicle-ground energy storage system 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 urban rail transit with high speed, large capacity, high efficiency, environmental protection, safety and reliability. However, with the rapid growth of the scale of urban rail transit network, its energy consumption problem has become increasingly prominent. Under the background of building a resource-saving and environment-friendly society in my country, energy conservation and consumption reduction for urban rail systems has significant economic and ecological benefits. [0003] Because ...

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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