Research On Energy Saving Optimization Strategy Of Urban Rail Transit Under Complex Line Conditions

With the continuous progress of urbanization,the urban rail transit has entered into a stage of rapid development in China.The efficiency of rail transit was improved because of the constant growth of subway trains.But it also brought a great pressure on the urban energy supply.The subway lines in the actual operation are restricted by the urban planning,which causes a complex and changeable situation.Under the premise of ensuring the convenience of rail transit with the complex conditions,the research of energy-saving optimization strategy for urban rail transit can relieve the pressure of the urban energy supply.In view of the practical problems in the research of subway train energy-saving optimization,the operation state of single train in each stage was analyzed at first,and the energy-saving optimization model of single-train operation based on complex line condition was established.In the model of single train,the optimized parameters are the train running speed,acceleration and running time.The improved artificial bee colony algorithm(Improved Artificial Bee Colony algorithm,IABC)was used to solve the established model.The optimal constant speed of train and the conversion point of running condition can be obtained,and the optimal control of train operation can be output.Secondly,based on the principle of single train optimization,the multi-train operation condition was optimized.The operation conditions and time of each train in the same power supply interval were adjusted,and the multi-train operation schedule was used to optimize the operation time.In this stage,the multi-train energy consumption model based on regenerative braking energy can be established.The model was solved by the improved genetic algorithm(Improved Genetic Algorithm,IGA),and the optimal energy saving operation curve of multiple trains can be obtained.Finally,according to the established model and optimization algorithm,the simulation system of subway train energy conservation was developed.The system can achieve the multi-parameter optimization under multi-condition constraint by visual interface operation,and provide a technical support for energy conservation in rail transit system.