Research On Comprehensive Decision-Making Of Energy Storage Selection Under Multiple Application Scenarios Of Electrified Railway

In recent years,countries around the world have accelerated the construction of public transportation facilities,and electrified railroads,as the infrastructure of public transportation,have become one of the top priorities of construction.After decades of development,China has become a big country in electrified railroad operation.Although the current electric locomotive manufacturing technology progress,the capacity is increasing,but also lead to traction load demand is rising,and increasing traction load peak power will cause a series of traction power supply system power quality problems,and secondly,on the other hand,along with a large number of electric locomotives into use,will also produce a non-negligible regenerative braking energy,if the braking energy processing is not reasonable Not only will affect the safe and stable operation of the system,but also is not conducive to the efficient use of energy.Therefore,based on the continuous improvement of current energy storage technology and its time-shifting characteristics for electric energy,the reasonable configuration of energy storage devices in the traction power supply system provides an effective way to solve the above problems and facilitates the sustainable and stable development of electrified railroads.Therefore,in order to select a suitable energy storage solution for the application scenario of electrified railroad in a scientific and comprehensive manner,this paper analyzes and studies the application of energy storage devices in multiple application scenarios of traction power supply system peaking and braking energy recovery,aiming to achieve multiple applications to improve the economic efficiency of railroad sector and at the same time,to select a most applicable type of energy storage for electrified railroad.The main research content and innovation points of this paper are as follows.(1)In response to the increasingly significant traction load peaks and regenerative braking energy content in the current electrified railroad,this paper proposes a multiapplication strategy planning model that considers the energy storage configuration while satisfying the peaking and regenerative braking energy recycling of the electrified railroad based on the upper and lower threshold constraint method.The model takes the total net revenue of the energy storage device added to the electrified railroad during its life cycle as the objective function,and studies the energy storage configuration and charging/discharging situation in each time period to achieve the economic and optimal configuration of energy storage while satisfying the multi-application demand.Finally,the feasibility of the proposed model is verified by conducting simulations through the MATLAB platform and using three types of energy storage devices currently commonly used in electrified railroads for analysis.(2)In order to further determine the reasonable type of energy storage devices for the traction power supply system under multi-application scenarios,a set of comprehensive decision-making methods for electrified railroad energy storage selection taking into account the application scenarios is established.Therefore,according to the characteristics of energy storage devices in multi-application scenarios,this paper constructs a comprehensive energy storage selection index system including four aspects of electrified railroad traction load capacity,economy,energy storage characteristics and construction space,as well as eight guideline indicators under it.Evaluation index system.(3)Finally,there are many factors to evaluate the suitability of energy storage selection for multi-application scenarios of electrified railroads,and there are interactions between evaluation indicators,which are not only limited by the influence of their own dimensional indicators,but also by the influence of other levels of macro and micro dimensional indicators,which no longer exist independently of each other in different dimensions,but are interrelated and conflicting multiple structures.Therefore,in order to highlight the correlation between indicators and the conflict between the indicator data solved by the model,a comprehensive decision method combining FANP,CRITIC and TOPSIS is proposed,and the superiority of the proposed method is verified by actual.