Research On Optimization Method Of Train Energy-saving Operation Based On Speed Curve Adjustment

Urban rail transit develops rapidly in recent years,it has become the main mode of travel in China's main cities.The energy consumption of train operation is increasing rapidly due to its strong transport capacity,frequent trips and other characteristics.Therefore,it is of great significance to study the optimization of energy consumption of urban rail transit.On the basis of absorbing the existed research results at home and abroad,this thesis has carried out the following research:Firstly,the kinematics model of train is studied.The traction,braking and resistance characteristics of the train are analyzed in detail.At the same time,the calculation methods of train speed,displacement and energy consumption are studied.This paper analyzes the factors influencing the energy consumption of train operation and introduces several typical train operation strategies.Secondly,the optimization method of single train energy saving is studied.This paper establishes a model of single train energy consumption optimization and use multi-objective particle swarm optimization algorithm to solve the problem.The optimization strategy of train operation under complex line conditions is further studied and the train energy optimization under various line conditions is simulated and analyzed.Then the energy saving optimization method of multi-train collaboration is studied,the principle of multi-vehicle cooperative energy consumption optimization is expounded.According to the different scenarios of two and three trains,the corresponding overlapping time calculation model was established respectively.Aiming at minimizing the total energy consumption,a multi-train collaborative energy consumption optimization model is established.The cooperative multi-objective particle swarm optimization algorithm was used to solve the model from the aspects of optimizing stop time and departure interval as well as the train speed curve.Finally,the speed curve optimization of the whole line of single train and the energy optimization of the whole line of multi-train during the morning rush hour were respectively carried out according to the actual data of Guangzhou metro line 7.The effectiveness of the optimization scheme in this paper is verified.