Study On High-Speed Railway Energy-Saving Control Based On Multiple Population Genetic Algorithm

By the end of 2016,the operation mileage of high speed railway was more than 22000km in China which was ranking first in the word,accounting for more than 60%of the total mileage of high-speed railways in the world.In 2016,the railway has been sent 2.77 billion passengers,and 1.443 billion passengers accounting for more than 52%were sent by bullet train.High-speed railway has transported of 1.18 billion passengers accounting for more than 81%,which is obvious that high-speed railway has become the first choice mode for travelers.With continuous research on technology of high-speed railway in China,"Renaissance" CR400 series of bullet train has been successfully developed and put into use in Sept.2017.It is indicated that high-speed railway has taken a new stage in history.The energy consumption of high-speed railway is gradually increasing because of the extension of the operating range and increased passenger.Based on the study of energy saving of high-speed railway at home and abroad,combined with the characteristics of high-speed train operation,the paper establishes energy-saving control optimization model of single-train of high-speed railway and energy-saving optimization model of multi-train tracking moving considering the dynamic speed limit of preceding train-set.Design Multi-group Genetic Algorithms for model characteristics.The main contents of the thesis are involved:(1)Introduce the basic theory of high-speed railway.The paper analyzes the high-speed railway characteristics which are different from the characteristics of ordinary railway trains and urban rail transit,and summarizes the process of high-speed train through phase separation and regenerative braking energy utilization.This thesis analyzes the impact of energy consumption of high-speed railway from infrastructure,operation organization and driver control,and establishes the corresponding kinematic model through the force analysis of high-speed railway.(2)Establish energy-saving control optimization model of single-train of high-speed railway.Fully considering the high-speed railway current line conditions and train-set control characteristics,the paper establishes objective function based on train energy consumption and control variable based on the train control sequence.Considering punctuality,parking accuracy,speed limit,effect of the electrical sectioning and the conditional transition and the handle bit duration constraint,the model is solved by Multi-group Genetic Algorithms.(3)Establish energy-saving control optimization model of multi-train movement.Giving full consideration to the impact of preceding train dynamic speed limit and the use of regenerative braking energy,this paper establishes energy-saving control optimization model of multi-train tracking moving.At the same time,the thesis put forward a re-optimized strategy of the tracking moving train at the remaining interval when the preceding train speed is decreasing because of some reasons and effect of the tracking train safe operation.(4)Case study and analysis of simulation results.Based on the existing high-speed railway lines and train conditions,the paper simulates the single train energy-saving operation by MATLAB.On the basis of a single train studying,taking into account the dynamic speed limit of the preceding train and the regenerative braking energy consumption,multi-trains operation is simulated in the paper.Simulation results show that the energy consumption of single-train solved by optimization model and algorithm of this paper can decrease by 16.35%comparing to the actual driver's operation.The cnergy consumption of tracing train reduces 8.138 kW·h compared with single train.The total energy consumption of the two trains which is re-optimized after the preceding train impact in the remaining interval is 13.90%less than the total energy consumption of the two trains which is used minimum running time strategy.Simulation results verify the validity and effect of optimization of the model and algorithm.The studying on the energy-saving operation of high-speed railway is significant to reduce traction energy consumption of high-speed train and provides the theoretical reference for high-speed train driver's control.