Research On Energy Saving Of Urban Rail Transit Operation Based On Genetic Algorithm

Urban rail transit is one of the most important transportation tools in major cities.It is the premise of the rapid development of urban regional economy,and it also facilitates people's daily work and life travel.Under the advancement of urbanization in various places,the mileage of urban rail transit and the scale of construction are also increasing year by year,and the transportation energy consumption of urban rail transit is increasing.Under the concept of increasingly pursuing green environmental protection and sustainable development,energy conservation and emission reduction of urban rail transportation has also become a hot research issue.Based on the above background,this paper will make a detailed analysis and research on the energy-saving problems of urban rail transit train operation.Firstly,the paper analyzes the force and operating conditions of the urban rail train during the operation,and gives the traction force,basic resistance and the calculation model of the external force under various working conditions.On the other hand,it analyzes method of train energy consumption is given.Then the basic principle and operation flow of genetic algorithm are introduced in detail.At the same time,the crossover operator and mutation operator are adjusted by dynamic adaptive method to further improve the genetic operator,and the spatial search ability of genetic algorithm is optimized and reduced.The occurrence of precocity.Provide algorithm support for the subsequent search for the optimal solution of train energy saving problem.Then the paper proposes a train single interval time-saving energy-saving optimization model and a multi-interval running time allocation energy-saving optimization model.In a certain fixed and inter-station running time interval,first find the appropriate starting and ending points of the train in the single interval,so that the train running energy consumption decreases;on this basis,for multiple intervals,the train The total running time is fixed,and the target of reducing the total energy consumption of the train is achieved by allocating the running time of each section and the running curve of each section.Finally,based on the optimization of multi-interval train running time,this paper further considers the improvement of the utilization rate of regenerative braking energy for multi-interval trains.The main solution is how to improve the utilization of regenerative braking energy into trains.The problem that the overlap time between braking and traction conditions is the largest and solved.