基于PSO算法的轨道交通WPT系统规划研究  

Research on Rail Transit Wireless Power Transmission System Planning Based on Particle Swarm Optimization Algorithm

作　　者：林云志 赖一雄 LIN Yunzhi;LAI Yixiong(China Railway Electrification Bureau Group Co.Ltd,Beijing 100036,China)

机构地区：[1]中铁电气化局集团有限公司,北京100036

出　　处：《铁道工程学报》2024年第3期100-105,共6页Journal of Railway Engineering Society

摘　　要：研究目的:面向轨道交通的无线电能传输技术正处于快速发展中,在大规模工程应用之前,对线路的“电源”如何配置、充电的策略等问题缺乏系统性研究,特别是系统的配电规划是一个系统性的非线性问题,具有多维度、多目标、多约束、多变量等特点,为提高整个工程的经济性,实现建设成本与运营成本的最优,需要一种最优的规划算法。研究结论:(1)从静动态电源配合、动态导轨长度、装置容量选择等多要素进行规划和考虑,基于粒子群优化算法(PSO)对优化求解算法进行运算;(2)首先搭建非线性数学模型,并给出了约束条件、配电系统的规划以及方案的选择标准;最后通过实例仿真验证了其可行性;(3)本文算法在轨道交通WPT系统规划中具有优越的全局寻优性能。Research purposes:The wireless power transmission(WPT)technology for rail transit is in rapid development.Before large-scale engineering application,there is a lack of systematic research on how to configure the"power"of the line and the charging strategy.To improve the economy of the whole project and achieve the optimal cost of construction and operation,the distribution planning has a systematic nonlinear problem,which has the characteristics of multi-dimension,multi-objective,multi-constraint and multi-variable.Research conclusions:(1)The particle swarm optimization(PSO)is selected as the optimization algorithm for calculation from the aspects of static and dynamic power supply coordination,dynamic guide length and device capacity selection.(2)Firstly,the nonlinear mathematical model is built with the constraint conditions,distribution system planning and scheme selection criteria.Finally,the feasibility is verified by the simulation solution of an example.(3)The algorithm has excellent global optimization capability in the planning of rail transit WPT system.

关 键 词：粒子群优化算法 无线电能传输 配电方案 

分 类 号：TM724[电气工程—电力系统及自动化] U231.8[交通运输工程—道路与铁道工程]