Simulation Research On Energy Saving Operation Of Urban Rail Train On Time

With the rapid growth of subway mileage year by year,energy-saving and efficient operation is becoming more and more important.In order to optimize the on-time energy-saving operation of on-line urban rail transit trains,it is necessary to conduct in-depth research on the simulation of on-time energy-saving operation of trains.In this paper,the train operation simulation is studied to realize the energy-saving operation of the train based on the optimal operation under the condition of ensuring the punctuality and safety of the train to meet the passenger comfort.In this paper,a Hamiltonian function is used to establish a switching control model for energy-efficient train operation optimization.The ride comfort,speed limit,etc.are included in the model inequality constraints.And use the maximum value principle to deduce the operating conditions of train operating conditions.Considering the constraints of ride comfort,the optimal switching between train operating conditions is analyzed.And study the actual train operation data.The mode switching mode and the mode switching point are inferred during the start-up acceleration phase and the braking truce phase.Based on the analysis of the measured data,the characteristics of urban rail transit train operation and operation conditions have been improved.In order to improve the calculation efficiency of the algorithm,the train operation process is divided into the start acceleration in the front section,the speed regulation operation in the middle section and the braking stop in the rear section.A punctual energy-saving algorithm for train operation based on the maximum value principle is designed.The core of the algorithm is to find the target speed that meets the punctuality requirements.Therefore,two target speed search algorithms are designed,which are the Fibonacci search algorithm and the five-step search algorithm based on the hexadecimal method.Because the energy saving algorithm of train running on time does not clearly stipulate the position of the switching point of the idle mode before the train stops and brakes.Make it meet the characteristics of urban rail transit train operation and operation conditions.Therefore,a dynamic programming algorithm based on idle travel control is established to further improve the train energy-saving algorithm on time.The disturbing factors affecting the online operation of the train are discussed.A punctual online operation adjustment algorithm based on punctual energy saving algorithm is designed.Finally,the subway lines of two cities are selected to simulate and verify the algorithm.The vehicle parameters and actual routes in the calculation examples are all based on real data.Verified the practicability and effectiveness of the simulation system.The energy-saving effect of the improved on-time energy-saving algorithm is 18% higher than that of the conventional energy-saving algorithm;the energy-saving effect of the on-point energy-saving algorithm is 22% higher;the effectiveness of the on-line train adjustment algorithm is verified;the acceleration and the rear-end system are started in the front During the dynamic parking phase,the Pearson coefficients of the train operation simulation data and the measured data are 89.85%and 81.87%;the train operation measured data and the improved punctual energy-saving algorithm are compared.The energy saving effect of the improved punctual energy saving algorithm is 16% higher than the actual train operation.