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Analysis Of Traction Load Characteristics Of Urban Rail Transit

Posted on:2021-04-14Degree:MasterType:Thesis
Country:ChinaCandidate:Q F BoFull Text:PDF
GTID:2392330614971472Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As an important part of the urban public transportation system,urban rail transit has played a huge role in solving the problem of urban congestion due to its large volume,high punctuality and safety and comfort.With the rapid development of urban rail transit and the continuous increase in passenger traffic,energy consumption issues are becoming increasingly prominent,and train operation energy consumption accounts for a large proportion of operating expenditure.Analyzing the characteristics of train traction load and its influencing factors is of great significance for energy consumption optimization analysis.Therefore,this paper studies the train traction operation control strategy and quantitative study of the influencing factors of traction load and energy consumption optimization analysis,and develops the software.Firstly,according to the basic theory of urban rail transit traction load modeling,by analyzing the forces in the train operation process,the paper used the simplified multi-particle model as the train traction calculation model,established train kinematics model based on dynamic passenger flow and gave the calculation formula of train power and energy consumption,as the theoretical basis for subsequent energy consumption analysis and optimization.Secondly,the paper studied the influencing factors of traction load of urban rail transit.The main contents included: first,compared the advantages and disadvantages of the time-saving traction strategy and the operation diagram-based traction strategy,combined with the characteristics of short average distance of urban rail transit trains and frequent starting and braking,constructed a comprehensive optimized traction strategy by considering the three factors of energy saving,punctuality and precise parking.The second is to analyze the spatial and temporal distribution characteristics of passenger flow,and the calculation of train traction energy consumption based on dynamic passenger flow.The third is to analyze the impact of train formation mode on operating energy consumption,and compare the traction energy consumption of trains in different formation modes based on existing lines;The fourth is to establish a train departure interval model,and combined with the time distribution characteristics of passenger flow and train departure interval,a multi-train tractionenergy calculation method is provided,which provides a basis for determining the reasonable train departure interval and the design and adjustment of the operation diagram.The fifth is to establish the energy consumption optimization model with the departure interval as the constraint condition and the minimum energy consumption per person per kilometer as the objective function.Thirdly,it has developed train traction calculation and energy consumption statistical simulation software based on the aforementioned research content,and it has designed the train traction calculation based on the passenger capacity in the Visual Studio development environment using C# language.On this basis,the paper has completed the train energy consumption analysis and optimization simulation calculation under different full load rates and different departure interval factors.Finally,taking the Beijing Metro Changping Line and the B-Type subway train as the object of case analysis in this paper,Compared the traction calculation results of the time-saving strategy and the comprehensive optimization strategy,and the calculation results of the comprehensive optimization strategy are compared with the measured data to show speed tracing,running time accuracy and power consistency are all better than time-saving strategies.In addition,according to the traction calculation results,the paper has carried out statistical analysis of energy consumption in each station and power supply section,and energy consumption optimization simulation.The simulation results show that the train running according to the optimized departure interval can effectively reduce the running energy consumption.
Keywords/Search Tags:Urban rail transit, traction calculation, Energy factor, Dynamic passenger flow, Departure interval
PDF Full Text Request
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