Optimization Design of Traction Substation in APM Traction Power Supply System based on Adaptive Particle Swarm Algorithm

APM, Automated People Mover, is a kind of driverless Automated Guideway Transit (AGT) system, which is usually used to undertake passenger transport tasks in large airports. APM is different from the common urban rail transit system, which uses three-phase AC traction power supply system. In order to provide parameters for the design of traction power supply system in the early stage, the traction calculation method of APM system and the simulation method of traction power supply system are studied. In order to reduce the active power loss of the power supply rail, the minimum power loss model of the power supply rail is studied and an adaptive particle swarm optimization algorithm (APSO) with dynamically changing inertia weight (DCW) is used to optimize the location of the traction substation. The simulation results show that the proposed method can effectively optimize the location of traction substation and improve the utilization of electric energy.