Research On The Train Energy-efficient Optimization For The Interoperable Urban Rail Transit

With the progress of urbanization,urban rail transit has become a priority public transport.In order to meet the diversified travel needs of passengers and improve the utilization of resources.Therefore,implementing interoperability network between lines is an important development direction of urban rail transit.At the same time,with the problem of train energy consumption caused by urban rail transit network operation is becoming more and more prominent,scholars at home and abroad have carried out a lot of research on single line at present,but the research on energy-efficient for interoperability network operation lines is still less.It is of great significance to study the trains energy-efficient optimization method for the interoperable urban rail transit.In the interoperability network operation,trains which belong different lines can cross lines or cooperate on the same line.First of all,combining with domestic and foreign cases,this paper analyzes the characteristics of different operational routing facing interoperability,as well as the traction characteristics of vehicles running on different routing,and abstracts the interaction and constraint relationship between interoperability train.Secondly,considering the energy-efficient factor,this paper establishes the energy-efficient optimization model of train driving strategy with different performance,and designs the energy-efficient method using genetic algorithm to optimize the operating regime sequence.In addition,the relationship of different performance trains and different stations between running time and energy consumption value are obtained.On this basis,the timetable should be optimized coordinately from network level,considering to expand the available range of regenerative braking energy,this paper establishes the energy-efficient optimization model for the timetable of interoperability line,and the designs energy-efficient method of optimizing the important parameters of timetable using particle swarm optimization algorithm.Finally,according to the optimization results of the timetable,the driving strategy of the train is determined,and the energy-efficient optimization scheme for the interoperability lines is formed.This paper selects two actual lines data of urban rail traffic,and extracts the parameters of train running on two actual lines.This paper analyzes the operation characteristics of cross-line,and describes the constraints of the operation requirements and cross-line process.Considering minimizing the running energy consumption of trains which are involved in the cross-line process,the models for the optimization oftrain driving strategy and timetable energy-efficient are established for the two interoperability lines.In addition,the case is simulated by using the proposed energy-efficient optimization method,and the energy-efficient optimization verification platform for interoperability is built.From the analysis of the speed curve which is optimized and the line local operation diagram data,the energy consumption value of the train operation is reduced by 6.7% on the basis of satisfying the constraints generated because of interoperability and operational requirements,which proves the feasibility and effectiveness of the method in the train energy-efficient for interoperability.Figure 49,Table 10,Reference 72.