Energy-saving For Metro System Through Train Operation Optimization And Energy Feedback Device Configuration

With the expansion of subway construction scale,the energy-saving of subway system has become the focus for the operation enterprises in recent years.The energy consumption of subway is composed of two parts: traction system and power lighting system.As the main focus of energy saving of power lighting system is hardware equipment optimization,therefore,the energy-saving optimization of traction system has more academic research significance.The energy-saving research of the traction system can be started from two aspects:Firstly,from the energy using aspect,the strategy optimization of the train operation between stations can reduce the energy consumption;Secondly,from the energy recovery utilization aspect,the energy supply can be indirectly increased by properly setting the regenerative energy feed device.Based on the above two points,this paper studies the energy-saving optimization of train operation and the capacity allocation of regenerative energy feeder.The main work of this thesis includes the following contents.In the light of the problem of train operation optimization,this paper first puts forward a calculation method of train operation process which regards the train as a uniformly distributed rigid mass band from the point of view of engineering application.Then,considering that the actual section operation of subway is decided by the target speed curve and the control strategy,the energy-saving optimization model of train interval operation and multi-objective optimization model of ATO control strategy are established from those two levels respectively,genetic algorithm and NSGA-ii Algorithm are used to solve the two models respectively.Finally,the simulation case is analyzed with the actual line and train data,the highest energy-saving rate of the optimization model for train interval operation can reach to 13.05%,and the energy-saving rate of the multi-objective optimization model for ATO control strategy can reach to 8.67%.Because this paper focuses on the optimization of the model combined with the actual subway operation,the research results have greater engineering application value.In view of the problem of regenerative braking energy recovery and utilization,the principles,advantages and disadvantages of four regenerative Braking Energy Utilization Technologies,namely,resistance energy dissipation type,capacitance energy storage type,flywheel energy storage type and energy feedback type,are analyzed at first,combined with the actual data,the application status of the medium voltage regenerative energy feed device in a certain area is analyzed.Secondly,the equivalent models of the train,the traction network,the regenerative energy feed device and the rectifier unit are built from the perspective of power supply specialty,this paper presents an optimized modeling method for energy-fed Traction Power supply system.Thirdly,an optimal capacity allocation model of regenerative energy-fed device based on train operation plan is established to maximize the comprehensive benefits,the improved Gray Wolf Algorithm is used to solve the problem.Finally,a simulation case is analyzed based on the actual data of a subway.The results show that the comprehensive benefit optimization effect of the capacity allocation scheme of regenerative energy feeders is5.6% in the life cycle of regenerative energy feeders,and the optimized energy-saving investment cost is reduced by 14%.Reasonable configuration of regenerative energy feeder capacity can not only improve the utilization rate of regenerative energy,but also reduce equipment investment.