Method for controlling urban rail supercapacitor energy storage system based on dynamic setting and coordinative optimization

Abstract

The invention provides a method for controlling an urban rail supercapacitor energy storage system based on dynamic setting and coordinative control specific to the voltage stability problem of an urban rail train traction network of the supercapacitor energy storage system. An energy management strategy of the urban rail supercapacitor energy storage system is proposed based on dynamic setting and coordinative control, and a four-input-four-output mode is adopted; a set charge-discharge voltage threshold value Urefx, a supercapacitor state of charge (SOCx), a control parameter and the distance Lx between an urban rail train and an energy storage device are used as input, and a voltage dynamic charging and discharging threshold value is used as output. According to a mathematical model, anoutput voltage threshold value is calculated according to the input dynamic change, an energy storage station adjusts the energy absorption and release of the energy storage system according to the dynamic threshold value and the system state, and stabilizes the voltage of a traction network. The dynamic setting and coordinative control method has the advantages of being high in dynamic performance, high in robustness and the like.

Description

technical field [0001] The invention relates to an energy control method for an urban rail supercapacitor energy storage system, specifically a control method for an urban rail supercapacitor energy storage system based on dynamic setting and coordinated optimization. Background technique [0002] Urban traction vehicles have the characteristics of small footprint, less pollution, large passenger capacity, and high speed. They are of great significance for alleviating traffic pressure in large and medium-sized cities and planning and building efficient, energy-saving, green and environmentally friendly transportation, and are in line with the principles of sustainable human development. . Urban rail trains have short running intervals, frequent starting and braking, and large starting power is required during the traction acceleration phase, which will generate a large amount of regenerative braking energy during braking. How to suppress large fluctuations in traction networ...

AI Technical Summary

Problems solved by technology

The set constant charge and discharge thresholds are not combined with the dynamic operating characteristics of the train, so the energy storage effect and functional effect must not be optimal, and the charge and discharge threshold setting of the energy storage system and its optimal control have great impact on the energy saving effect and service life of the system itself. has great influence

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