Simulation And Optimization Of Traction Energy Consumption Of Urban Rail Transit Based On Dynamic Passenger Flow

In recent years,the urban rail transit mileage and the passenger flow grow sharply with the rapid development of urban rail transit,which in return leads to huge electric energy consumption and operating costs.It is generally divided into station energy consumption and train traction energy consumption.The later accounts for about 50%or so with impressive effects,having greater optimization potential.Hence,from the perspective of transport organization,it is very essential to study the simulation and optimization of train traction energy consumption regarding the dynamic passenger flow.Therefore,this study designs and develops the traction operation simulation and energy consumption analysis system of urban rail transit based on dynamic passenger flow(V1.0).This system targets simulating and optimizing the traction energy consumption.Guangzhou Metro Line 2 is studied and simulated as a case study by implementing this system.The specific research contents include following parts.(1)Traction energy consumption calculation model of urban rail transitCombining the basic theory of traction calculation and mathematical modeling,this thesis analyzes the situation and calculation methods with respect to various forces in train operations.In addition,train operating conditions are analyzed along with establishing kinematic equations which take into account time-varying passenger flow.Two operating strategies,including general time-saving strategy as well as energy-saving traction strategy,are designed.In this regard,a model of train traction energy consumption is constructed.(2)Traction Operation Simulation and Energy Consumption Analysis of Urban Rail TransitAccording to the established model above,a simulation and energy consumption system of train traction operation in urban rail transit has been designed and implemented.First of all,the requirements of this simulation system,simulation environment,functional module design,and system interface design are introduced.Then,the system is used to simulate the operation process through a case study.The simulation results under the two aforementioned strategies are assessed.Besides,the energy-saving effect of the energy-saving traction strategy and the function and reliability of the simulation system are verified.Moreover,this study indicates that the dynamic passenger flow is linearly correlated with train traction energy through the analysis.(3)Optimization of energy-saving train marshalling plan of urban rail transit based on dynamic passenger flowThis chapter analyzes the time and space characteristics and the full-load ratio of passenger flow,respectively,on the basis of AFC data reflecting characteristics of dynamic passenger flow.It is found that marshalling plan as well as train traction energy consumption can be optimized.Meanwhile,the passenger demand is satisfied,and safety issues and passenger comfort are considered in this optimization problem.Then,through the city rail transit train marshalling program overview,this thesis summarizes the classification and general methods of train marshalling determination.Finally,based on the generalized travel cost and traction energy consumption,the optimization model of fixed marshalling plan and multi-marshalling plan were established respectively.In this study,such a multi-objective problem is converted into a single-objective problem using a linear weighted sum method.(4)Simulation case study of Guangzhou Metro Line 2A case study is carried out based on Guangzhou Metro Line 2,which considers urban rail transit train traction operation simulation and energy consumption analysis.The simulation program is implemented in MATLAB,both single-and multi-scheme models are verified and evaluated based on the proposed methodologies.