高速磁浮牵引系统供电分区与定子段优化设计OA

To enhance the economic efficiency of the traction power supply system of high-speed maglev,an optimization design method integrating power supply partitions and stator segment length was developed using the improved genetic algorithm.Firstly,a mathematical model of the traction system was established through analysis of equivalent circuits under dual-feeding mode.The effective range of power supply partitions was determined to be 20-40 km through comprehensive consideration of tracking intervals and traction performance constraints.Then,the design length of the stator segment was 600-2 000 m according to step-switching control and traction performance constraints.On this basis,the dynamically-constrained adaptive genetic algorithm was employed to optimize the design of the power supply partitions and stator segment length,so as to minimize the overall economic cost.Finally,the Shanghai-Hangzhou maglev planning line and the Shanghai maglev demonstration line were selected as validation subjects.Through hardware-in-the-loop simulations,dynamic train operation data was acquired to compare the comprehensive economic cost of the traction system before and after optimization.Results show that for the Shanghai-Hangzhou line,the traditional design scheme requires seven 27 km power supply partitions of equal length.In contrast,the optimized scheme uses six differentiated partitions,among which the partition at the ends is 20 km,and the central partition is about 37 km.This reduces the comprehensive economic cost by 14.25％.For the Shanghai maglev demonstration line,the existing scheme uses 25 stator segments with a length of about 1 200 m each.The optimized scheme produces 26 unequal-length segments,forming a current-matched layout with shorter segments for higher current and longer segments for lower current,which reduces the comprehensive economic cost by 19.10％.