首页|基于PSO算法的轨道交通WPT系统规划研究

基于PSO算法的轨道交通WPT系统规划研究

扫码查看
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 on Rail Transit Wireless Power Transmission System Planning Based on Particle Swarm Optimization Algorithm
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.

particle swarm optimizationwireless power transmissionpower distribution

林云志、赖一雄

展开 >

中铁电气化局集团有限公司,北京 100036

粒子群优化算法 无线电能传输 配电方案

2024

铁道工程学报
中国铁道学会 中国铁路工程总公司 中国中铁股份有限公司

铁道工程学报

CSTPCD北大核心
影响因子:0.996
ISSN:1006-2106
年,卷(期):2024.41(3)
  • 7