Study On The Multi-marshalling Train Operation Scheme Of Urban Rail Trains Based On Energy Consumption And Passenger Demand

With the continuous improvement of China's urbanization level,the operating mileage and passenger flow of urban rail transit have increased significantly,which has brought about the need to save energy consumption and improve service levels.On the one hand,there is a large amount of electrical energy consumption in urban rail transit,of which nearly half of the energy consumption is caused by the energy consumption of train traction,there is a large potential for optimization;on the other hand,because urban rail transit mainly serves commuting passengers,there is a relatively large Large passenger flow time and space imbalance.These two factors provide a realistic background for the transportation organization mode of "passing the large marshalling train at the peak passenger flow period and the small marshalling train at the peak passenger flow period".Based on the summary of the research on urban rail transit train operation and energy consumption calculation and train size grouping plan,the paper analyzes and studies the train timing energy-saving operation model and solution algorithm,and develops rail transit train operation calculation and energy consumption analysis system V2.0 The design experiment compares and selects train operation models and obtains the fitting relationship between train traction energy consumption,train load and interval operation time division.Based on this,a dynamic passenger flow-based train size marshalling plan and energy consumption optimization model are constructed,and the model characteristics are analyzed and designed the solving algorithm.Finally use a urban rail transit line data and passenger flow data for case analysis.The specific research content is:(1)Study the train energy-saving operation model and algorithm.Based on the stress analysis during train operation,the train kinematics equations are obtained,the train operating conditions and characteristics are analyzed,and four common train operation models determined by the conversion of operating conditions are introduced.Based on the analysis of the characteristics of different train operation models,the dichotomy and genetic algorithm are used to design optimization algorithms for timing energy-saving calculations for different models.(2)Develop V2.0 for rail transit train operation calculation and energy consumption analysis system,analyze and compare train operation model characteristics,and study the fitting relationship between train traction energy consumption and train load and interval operation time division.Designed a four-layer architecture of basic calculation-condition module-operation model-optimization algorithm of train traction calculation process.The characteristics of the four train operation models were analyzed through experiments.By comparing the performance of the four train operation models,the optimal energy-saving train operation model of the “Traction-Cruise-Slide-Brake” model is determined.The design experiment obtains the traction energy consumption in different interval operating hours and different train loads,and analyzes the characteristics of the interval operation time division variation of the relationship between traction energy and train load,and the train load of the traction energy and interval operation time division Variation characteristics,through fitting calculation,the fitting relation expression of traction energy consumption,interval running time and train load is determined.(3)Build train size marshalling plan and energy consumption optimization model based on dynamic passenger flow and design a solution algorithm.With the goal of lowest passenger congestion cost,minimum waiting time,minimum vehicle extension time and minimum train traction energy consumption,with transportation capacity and departure conditions such as frequency and interval time division are constraints.The unitary objective function dimension of time cost and energy cost is introduced,and the linear weighting method is used to transform the multi-objective optimization problem of the model into a single-objective optimization problem.The model under the direction of the specific time period and the number of trains is equivalent to a quadratic programming model divided into decision variables during interval operation,and an optimization algorithm for solving the model is designed.(4)Conduct case analysis.Use the urban rail transit line data and passenger flow data of a city to compare and analyze the optimization rate of the train operation plan under the different number of trains in the large and small groups and the fixed group,the operating hours of the variable interval and the operating hours of the fixed interval,and the different number of trains in the up and down directions;The sensitivity analysis of the model on passenger value and unit cost of traction energy consumption is carried out;and under the weight coefficient schemes of different target preferences,the costs of the large and small trains are compared.Through case analysis,the optimization effect of constructing train size marshalling plan based on dynamic passenger flow was verified.The thesis contains 89 pictures,20 tables,and 65 references.