Research On Energy Saving Of Urban Rail Transit Dispatching And Control Integration

In recent years,the rapid development of urban rail transit occupies a major position in urban public transportation.The huge population is the basic national condition of our country,and the traffic pressure is becoming more and more obvious,especially in the aspect of urban traffic and transportation.The development of urban rail transit cannot be ignored all the time.The prosperity of urban rail transit industry greatly facilitates people’s daily travel and plays an irreplaceable role in the development and progress of cities.The purpose of this paper is to study and establish an energy saving model that combines train scheduling and control.Combined with particle swarm optimization algorithm,the energy consumption and time are calculated and solved,and the optimal train operation strategy and static schedule are analyzed.The main research contents of this paper include the following parts:For the calculation of energy consumption of the train,on one hand,the force of the train is analyzed based on the single point model.And the force of the train in different running stages is discussed.Then,the motion equation of the train under several working conditions is calculated according to the force analysis.On the other hand,through studying the regenerative braking principle of trains,the utilization of regenerative braking energy is sought from the perspective of train scheduling.Based on the principle of maximum value,the Hamiltonian function corresponding to the minimum energy consumption is established and four operating modes of the train are obtained,and the optimal driving strategy most suitable for the urban rail transit train is found out,that is,"maximum traction-idling-braking" operation strategy.This operation mode provides a theoretical basis for the subsequent train operation process.According to the operation strategy,train traction energy consumption are calculated respectively and the recycling use of regenerative braking energy,again with the energy of the energy and recycling is the difference between the net system energy consumption as a target,will train dispatching and control integration model is established,and then to train the practical operation must satisfy the constraint conditions are discussed.Particle Swarm Optimization(PSO)is used to solve the integrated model.The advantages and disadvantages of PSO are discussed.The parameters and speed updates are improved respectively in the shortcomings of the algorithm.Two performance test functions were introduced to prove the advantages of the improved particle swarm optimization(PSO).For the improved PSO,the solving steps of the model were formulated.The train parameters of Nanchang Metro Line 1,the line data of some stations and the speed limit situation were analyzed,and the simulation was carried out with Matlab software.Based on the solution results,a new energy saving schedule was developed and the energy saving running speed curve of the train was drawn.The energy saving effect was calculated and analyzed to reach 7.6%.Meanwhile,the improved energy saving operation could meet the operating conditions,which has a certain reference value for line optimization.