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高速磁浮系统最小能耗下的运控曲线计算

Calculation of Operation Control Curve for High-speed Maglev System with Minimum Energy Consumption
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摘要 目前高速磁浮交通牵引系统多采用双端供电模式,针对该工作模式下给定运控曲线的等电流、等电压分配策略产生大量区间能耗的问题,研究了一种以最小能耗为目标的运控曲线计算。首先建立双端供电模式下长定子直线同步电机的d-q轴等效电路模型,分别根据等电流法和等电压法分配双端变流器的电流,然后将整个高速磁浮交通牵引系统的能耗作为目标函数,再把运行耗时和区间距离作为约束条件,最后通过拉格朗日条件极值法求出最小能耗点,进而得到高速磁浮的运控曲线。经仿真计算发现,该方法能在满足等电流和等电压分配策略的情况下,找到符合约束条件的最小能耗点和其所对应的运控曲线,使得整个高速磁浮交通牵引系统的能耗降低。 At present,high-speed maglev transportation(HSMT)traction systems mostly adopt a double-ended power supply mode.Aimed at the problem that the equal-current and equal-voltage distribution strategies for a given operation control curve in this mode generate numerous energy consumption,the calculation of the operation control curve is studied to minimize the energy consumption.First,the d-q axis equivalent circuit model of a long-stator linear synchronous motor in the double-ended power supply mode is established,and the current of the double-ended converter is distributed according to the equal-current and equal-voltage methods,respectively.Then,the energy consumption of the whole HSMT traction system is taken as an objective function,and its operation time and distance are taken as constraints.Finally,the minimum energy consumption is obtained by the Lagrange condition extreme value method,thus obtaining the operation control curve of HSMT.Based on simulation calculations,it is found that the proposed method can find the minimum energy consumption and the corresponding operation control curve under the constraint condition while satisfying the equal-current and equal-voltage distribution strategies,so that the energy consumption of the whole HSMT traction system is reduced.
作者 张雷 ZHANG Lei(Electrification Design and Research Institute,China Railway Siyuan Survey and Design Group Co.,Ltd,Wuhan 430063,C)
出处 《电源学报》 CSCD 北大核心 2022年第6期214-220,共7页 Journal of Power Supply
关键词 高速磁浮 双端供电模式 运控曲线 最小能耗 拉格朗日条件极值 high-speed maglev double-ended power supply mode operation control curve minimum energy consumption Lagrange conditional extreme v
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