Research On Train Energy-saving Operation Method Based On Pareto Multi-objective Genetic Algorithm

Urban rail transit,as an important part of urban public transportation,has advantage not only of effectively improving the city traffic congestion by quickly gathering and distributing the passenger flow,but also of land,energy saving,environmental protection,etc.So it is developing rapidly.Because of its huge electricity consumption and running cost,and the relative energy shortage in China,researches in the field of energy saving has attracted more and more attention,which has become a key point in the process of urban rail system.The paper's research emphasized on several aspects as follows:?Based on the analysis of train operation model and traction power supply system model,the calculation method of train operation is given.?On the basis of train operation model and operation calculation method,the train operation simulation for typical metro line is carried out.?Based on the single train timing energy-saving operation model studied,the multi-objective genetic algorithm based on Pareto is used to solve the model,for optimizing the train speed curve?Based on the analysis of single train timing energy-saving research,the model of multi period train saving energy is established,and the multi-objective genetic algorithm based on Pareto is used to solve the model for optimizing operation schedule and train operation diagram.And then the full-time train operation simulation model is used to verify the effect of energy saving optimization operation of train.