Optimization of Power Supply Section Planning in Medium-Speed Maglev System

Abstract

Abstract The power supply planning of medium-speed maglev system (MSM) is related to line capacity greatly. To improving sectional through capacity, this paper takes the problem of dividing power supply zones of MSM as research object, i.e, the optimization of power supply planning. With the known number of zones, optimization object is maximum line capacity without consideration of generalized cost. Considering factors such as stator position in section, train speed profile characteristics, blocking time and blocking time overlap method, an optimization model of MSM stator combination is established. According to the given relative position of stators and target speed profile, a genetic algorithm is designed to obtain power supply plan that meets the target expectation. This method provides guidance for the future MSM power supply planning.