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Research On Operation Analysis And Optimization For Energy-saving Operations Of High-Speed Train

Posted on:2021-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LiFull Text:PDF
GTID:2392330605458028Subject:Power electronics and electric drive
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In recent years,Chinese high-speed railway industry has developed rapidly.In 2019,more than ten new high-speed railway lines were put into operation in China.And the new high-speed railway operation mileage throughout the year exceeded 4000 kilometers,ranking first in the world in terms of total operation mileage.The high-speed train has many advantages,such as large passenger capacity,high punctuality rate,fast speed,comfort and convenience,which brings great convenience to people's travel and has become the first choice for passengers.However,with the extension of operating mileage and the increase in traffic volume of high-speed railway,the following is the problem of increasing energy consumption.Among them,the train traction energy consumption is as high as 60-70% of the total energy consumption of the railway.Therefore,reducing the energy consumption of train traction is an important problem to be solved urgently.Based on the research results of domestic and foreign scholars on the optimization of train energy conservation,combined with the operating characteristics of high-speed trains,the thesis establishes the energy-saving optimization model of the single train and single station,the energy-saving optimization model of the single train and multiple stations and the energy-saving optimization model of the multiple trains and multiple stations.Meanwhile,the way of increasing the available regenerative braking energy by adding energy storage equipment is also considered.In MATLAB software,the genetic algorithm is used to analyze the simulation cases of the above models.The main contents of this paper are as follows:(1)This thesis briefly introduces the research background.Through sorting out the research status of the optimization of train energy-saving at home and abroad,this thesis analyzes the existing problems in the current research.And on this basis,the research focus of the thesis is determined.According to the characteristics of high-speed railway train operation,the main influencing factors of traction energy consumption of high-speed railway trains are summarized.According to the force analysis and the "four stages" optimal operation strategy of the high-speed trains,the energy consumption of trains in each operation stage is obtained.(2)A method of traction energy consumption calculation with distance step as the operation step is designed.On this basis,taking the traction distance as the independent variable and the minimum traction energy consumption as the optimization objective,and considering the constraints of running time and the passenger comfort,the energy-saving optimization model of the single train and single station is established.In order to further reduce the traction energy consumption of the train,under the premise of the total operation time constraints,the redundant time among the multiple stations of the train is redistributed.Taking the minimum total traction energy consumption of the train as the optimization objective,the energy-saving optimization model of the single train and multiple stations is established.At the same time,the traction energy consumption under the simulated actual operation of the train is compared,and the energy-saving effect is analyzed.For the same train on Baoji-Lanzhou High-speed Railway,the results show that the maximum energy-saving effect of each station can reach 11.23% under the condition of the single train and single station optimization,and the total energy-saving effect can reach 5.55%.Under the condition of single train and multiple stations optimization,although the traction energy consumption of some stations is increased compared with that under the condition of single train single station optimization,the total energy-saving effect is still 1.02%.All these data show the feasibility and rationality of the above models.(3)On the premise of the total operation time constraints of each train,based on the energy-saving optimization model of single train and multiple stations,the energy-saving optimization model of multiple trains and multiple stations is established.And the weight difference of the available regenerative braking energy and the total time error of multiple trains is taken as the optimization objective.The departure interval between each train and the first train is taken as the independent variable.Among them,the number of trains can be arbitrarily selected.According to the train number of 3 and 4,the simulation analysis is carried out respectively,and the energy-saving effect of the two cases is analyzed.The research results show that when the research object is three of the four trains running in the same direction,the available regenerative braking energy is 256.28 k W·h and the total time error is 406 s.When the research object is four trains,the available regenerative braking energy is 441.47 k W·h and the total time error is 886 s.All these data show the feasibility and rationality of the model.(4)Combined with the energy-saving optimization model of multiple trains and multiple stations,the purpose of improving the utilization of regenerative braking energy is achieved by adding trackside energy storage equipment at the stopover stations.Taking the maximization of the electric charge that can be saved in a year as the optimization goal,the energy-saving optimization model of multiple trains and multiple stations considering the utilization of regenerative braking energy with energy storage is established.This thesis selects the actual operation data of 42 trains in the whole day on Baoji-Lanzhou High-speed Railway,and uses the optimization results of the condition of the single train and multiple stations optimization in Chapter 3,and analyzes the energy-saving effect.For all the trains on Baoji-Lanzhou High-speed Railway in the whole day,the research shows that the electricity cost can be saved by 44161.06 yuan in one year adding trackside energy storage equipment at the stopover stations.All these data show the feasibility and rationality of the model.(5)On the basis of the above research,the simulation software is designed for Baoji-Lanzhou High-speed Railway by using MATLAB software and Access software.The picture display and function introduction are carried out.
Keywords/Search Tags:High-speed Railway Trains, Energy-saving Optimizing, Regenerative Braking Energy, Genetic Algorithm, MATLAB
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