High-speed Train Platoon Collaborative Operation Optimization And Control Method Based On Dynamic Intervals Elastic Adjustment

High-speed railway,as the transportation artery in China,plays an important role in promoting the coordinated development of regional economy and ensuring national security.Supported by the “Strategy of strengthening China’s transportation industry”,the process of high-speed railway construction continues to advance,the train operation environment is becoming more and more complex,and the coupling relationship between trains is enhanced.It puts forward higher requirements for dynamic adjustment performance and perturbance response characteristics of high-speed train operation control system.In order to meet the requirements of high efficiency,high safety,small delay and low energy consumption of high-speed railway,this thesis deeply analyzes the high-speed train platoon collaborative operation process,and designs elasticity index to measure train tracking safety and perturbance response ability.The offline multi-objective optimization method is used when the train stops in station.The online collaborative decision-making method is used when the train runs in section.On this basis,the high-speed train platoon collaborative operation optimization and control scheme with punctuality and energy saving as the core objectives is designed to realize the dynamic optimization control of high-speed train platoon collaborative operation process.The main contents and innovations of this thesis are as follows.(1)The elastic evaluation model for high-speed train platoon tracking operation process is proposed to realize the real-time evaluation of train perturbance response ability.Train collaborative operation scenarios is divided into two periods:“optimization in station” and “operation in inter-station”.According to the train operation characteristics in different operation scenarios,the train collaborative operation procedure is designed.The elastic evaluation model of train tracking operation status under the condition of moving block is designed,and the high-speed train platoon operation simulation environment and evaluation indexes are constructed.(2)The offline multi-objective optimization method of train operation control strategy is proposed to solve the problem of delay allocation and driving strategy offline optimization.Aiming at the safety,energy-saving,punctuality and comfort requirements of train operation optimization control in “optimization in station” period,the train dynamics model and multi-objective optimization model are established.The delay allocation algorithm and the improved multi-objective cuckoo search algorithm based on elitist selection and non-dominated sorting is proposed.Compared with the actual operation energy consumption,the energy saving is 7.2%.(3)The high-speed train platoon dynamic interval elastic adjustment method is proposed to solve the problem that the offline train driving strategy is difficult to adapt to dynamic changes in the external environment.Aiming at the dynamic adjustment requirement of train operation optimization control in “operation in inter-station” period,the driving phases conversion principle is designed,and an intelligent identification method of elastic parameters based on depth deterministic gradient descent algorithm is proposed.Then,the elastic adjustment strategy with dynamic elastic parameters is constructed,compared with the elastic adjustment strategy with fixed elastic parameters,it can save 1.8% energy.A punctuality keeping strategy is studied for the punctuality demand in train elastic adjustment process.This thesis constructs simulation examples based on the actual line data and timetable of the sections between Wuhan station and Changsha South station in Wuhan-Guangzhou high-speed railway and compares with two train operation control schemes to verify the effectiveness of the model and method proposed in this thesis.The results are as follows: under the normal operation scenario,the high-speed train platoon collaborative operation optimization control scheme proposed in this paper can satisfy the requirements of energy saving,punctuality,and comfort,and can always guarantee the safety of tracking operation and quickly respond to operation perturbances;under the perturbance operation scenario,it can make full use of the dynamic adjustment capability to ensure punctuality and realize energy-saving.This thesis contains 54 figures,19 tables and 88 references.