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磁耦合谐振无线传输系统传输特性的研究及优化
引用本文:焦宇峰,李锐杰,宋国兵. 磁耦合谐振无线传输系统传输特性的研究及优化[J]. 电力系统保护与控制, 2020, 48(9): 112-120. DOI: 10.19783/j.cnki.pspc.190754
作者姓名:焦宇峰  李锐杰  宋国兵
作者单位:国网陕西省电力公司检修公司,陕西西安 710075;国网陕西省电力公司西安供电公司,陕西西安 710032;西安交通大学电气工程学院,陕西西安 710049
基金项目:国家自然科学基金重点支持项目资助(U1766209)
摘    要:以提高磁耦合谐振式无线电能传输系统的传输效率为目标,对系统多参数匹配问题进行优化,使得无线电能传输系统整体工作在最佳状态。利用Matlab仿真软件对影响磁耦合谐振式无线电能传输系统效率的频率、传输距离、负载阻值3个关键参数进行研究。然后以提高系统传输效率为目标,利用自适应粒子群优化算法,寻找这3个关键参数的最优匹配值。最后对自适应粒子群优化算法进行仿真,得到了最优解对应的参数值。仿真结果证明该方法的有效性,研究对磁耦合谐振式无线电能传输系统的效率优化有指导意义,具有一定的实用价值。

关 键 词:磁耦合谐振  无线能量传输  传输特性  效率优化  自适应粒子群算法
收稿时间:2019-07-01
修稿时间:2019-10-09

Research and optimization of transmission characteristics of magnetically coupled resonant wireless transmission system
JIAO Yufeng,LI Ruijie,SONG Guobing. Research and optimization of transmission characteristics of magnetically coupled resonant wireless transmission system[J]. Power System Protection and Control, 2020, 48(9): 112-120. DOI: 10.19783/j.cnki.pspc.190754
Authors:JIAO Yufeng  LI Ruijie  SONG Guobing
Affiliation:(State Grid Shaanxi Electric Power Company Maintenance Company,Xi’an 710075,China;Xi’an Power Supply Company,State Grid Shaanxi Electric Power Supply Company,Xi’an 710032,China;School of Electrical Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
Abstract:In order to improve the transmission efficiency of the magnetically coupled resonant radio energy transmission system, the paper optimizes the multi-parameter matching problem of the system, so that the radio energy transmission system works in an optimal state. The Matlab simulation software is used to study the three key parameters affecting the efficiency of this magnetically coupled resonant radio energy transmission system:frequency, transmission distance and load resistance. Then, with the goal of improving system transmission efficiency, the adaptive particle swarm optimization algorithm is used to find the optimal matching values of these three key parameters. Finally, the adaptive particle swarm optimization algorithm is simulated, and the parameter values corresponding to the optimal solution are obtained. The simulation results prove the effectiveness of the method, and the research has certain guiding significance for the efficiency optimization of the magnetic coupling resonant radio energy transmission system, which has certain practical value. This work is supported by Key Program of National Natural Science Foundation of China (No. U1766209).
Keywords:magnetic coupling resonance   wireless energy transfer   transmission characteristics   efficiency optimization   adaptive particle swarm optimization
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