| From the perspective of reducing traction energy consumption,this paper establishes a subway train traction energy consumption measurement model,and uses the optimization method of train interval speed curve to reduce train energy consumption.The main research contents of this paper:(1)Through the force analysis of subway trains in operation,a multi-point subway train operation model considering passenger flow is established;the automatic driving strategy of subway trains is studied,and the working condition conversion mechanism of subway trains is determined.The performance index that affects the optimization of the speed curve.(2)The section running time of the subway train is divided into equal parts,and the running process of the train in different running states at each stage is studied in detail,and the operation model of the corresponding process and the method of calculating the traction energy consumption are established.The solution method and calculation process of the transition point of the train’s braking curve to reverse the train’s coasting condition to the braking condition and the entry braking point are designed.(3)Research and establish mathematical models of passenger comfort,train operation safety,fixed-point parking and punctuality indicators.Under these constrained index conditions,this paper takes the speed command as the optimization object,creates a speed curve optimization model that targets the travel time and traction energy consumption of the subway train in the corresponding section,and proposes the AMOSA optimization algorithm to solve the target model,and Combining actual conditions,speed up the optimization of the algorithm by designing the generation of the algorithm’s initial solution,the generation of random disturbance vectors,and the acceptance probability of the solution.Then,through the speed curve optimization model,the speed curves of different running time and different passenger capacity in the same interval are compared and analyzed.(4)Considering the above models and optimization algorithms,this paper uses the QT4.11.1 platform and uses C++11 language to compile the traction energy consumption calculation and speed curve optimization simulation software of urban rail transit trains,and use the actual data of a domestic subway line for simulation verification.Corresponding simulation results are as follows.The comparison between the simulation calculation and the measured data of the traction energy consumption of subway trains considering passenger flow shows that the energy consumption error is within 3%,and the simulation results are more accurate,which lays the foundation for energy consumption calculation when the speed curve is optimized.At the same time,the energy-saving method based on AMOSA-based speed curve optimization proposed in this paper can make the energy consumption of subway trains run while ensuring that the running time of trains remains unchanged and meeting the constraints of fixed-point parking,passenger comfort and train operation safety.Reduce the energy saving rate at 13.59%. |