采用元胞遗传算法的无线电能传输网路径寻优

孙跃; 夏金凤; 唐春森; 向丽娟

doi:10.7652/xjtuxb201704005

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采用元胞遗传算法的无线电能传输网路径寻优

更新时间：2025-07-09

- 采用元胞遗传算法的无线电能传输网路径寻优
- Path Optimization for Wireless Power Transfer Networks with Cellular Genetic Algorithm
- 西安交通大学学报 2017年51卷第4期页码：30-36
- 作者机构：
  
  重庆大学自动化学院,重庆,400030
- 作者简介：
- 基金信息：
  
  : 2016-08-08。作者简介: 孙跃(1960—),男,教授,博士生导师。基金项目: 国家高技术研究发展计划资助项目(2015AA010402);国家自然科学基金资助项目(51277192,51377183)
- DOI：10.7652/xjtuxb201704005
  中图分类号： TM743;TP301
- 网络首发：2017-04-10，
  
  纸质出版：2017
- 稿件说明：
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孙跃, 夏金凤, 唐春森, 等. 采用元胞遗传算法的无线电能传输网路径寻优[J]. 西安交通大学学报, 2017,51(4):30-36.

Path Optimization for Wireless Power Transfer Networks with Cellular Genetic Algorithm[J]. 2017, 51(4): 30-36.
孙跃, 夏金凤, 唐春森, 等. 采用元胞遗传算法的无线电能传输网路径寻优[J]. 西安交通大学学报, 2017,51(4):30-36. DOI： 10.7652/xjtuxb201704005.

Path Optimization for Wireless Power Transfer Networks with Cellular Genetic Algorithm[J]. 2017, 51(4): 30-36. DOI： 10.7652/xjtuxb201704005.

摘要

为快速寻找无线电能传输网中传输效率最大、能量损耗最小的传输路径

提出了使用元胞遗传算法对传输路径进行寻优的方案。通过对无线电能传输网数学模型的分析

分别建立了有源注入和无源注入无线电能传输网的目标函数

并将目标函数作为元胞遗传算法的适应度函数

采用重复消除的修复方案将不可行解转化为可行解

以提高种群中的有效个体比例

从而提高搜索效率。元胞遗传算法将遗传算法和元胞自动机进行有效结合

中心个体和邻居之间形成一个小生境

优良个体得以在种群中缓慢扩散

算法能够有效突破局部最优解的限制

迅速收敛至全局最优解。仿真结果显示

在有源注入和无源注入无线电能传输网中

元胞遗传算法都能准确找到最优路径

表明元胞遗传算法用于无线电能传输网路径寻优具有可行性。

Abstract

To quickly find a path of wireless power transfer networks

which can maximize the transmission efficiency and minimize electrical energy loss

the cellular genetic algorithm(CGA)is chosen to optimize the transfer link. Analyzing the mathematical model of wireless energy transmission network

the objective function of the active injection and the passive injection wireless power transfer networks is established

and the objective function is taken as the fitness function of the cellular genetic algorithm. To heighten the proportion of effective individuals in the population and improve the searching efficiency

a duplicate elimination scheme is proposed to transform infeasible solution into feasible solution. Genetic algorithms and cellular automata are combined by the cellular genetic scheme

a niche thus forms between individuals and their neighbors

the good individuals spread slowly in the population

so the algorithm can effectively break the restriction of local optimal solution and quickly converge to the global optimal solution. Simulation results show that the cellular genetic algorithm can accurately find the optimal path in both the active injection and the passive injection wireless power transfer networks

which verifies the feasibility of this cellular genetic algorithm for path optimization of wireless power transfer networks.

关键词

Keywords

references

GREEN A W, BOYS J T. 10 kHz inductively coupled power transfer-concept and control [C]∥International Conference on Power Electronics and Variable-Speed Drives. London, UK: IET, 1994: 694-699.

GREEN A, BOYS J. Inductively coupled power transmission-concept, design, and application [J]. Transactions of the Institution of Professional Engineers New Zealand: Electrical/Mechanical/Chemical Engineering, 1995, 22(1): 1-9

LI H L, HU A P, COVIC G A, et al. Optimal coupling condition of IPT system for achieving maximum power transfer [J]. Electronics Letters, 2009, 45(1): 76-77.

ZHONG W X, HUI S Y R. Maximum energy efficiency tracking for wireless power transfer systems [J]. IEEE Transactions on Power Electronics, 2015, 30(7): 4025-4034.

LI H, LI J, WANG K, et al. A maximum efficiency point tracking control scheme for wireless power transfer systems using magnetic resonant coupling [J]. IEEE Transactions on Power Electronics, 2015, 30(7): 3998-4008.

孙跃, 戴欣, 唐春森, 等. 分布式无线电能传输网 [J]. 电力电子, 2010(3): 59-61.

SUN Yue, DAI Xin, TANG Chunsen, et al. Study on distributed wireless power transfer network [J]. Power Electronics, 2010(3): 59-61.

LEE C K, ZHONG W X, HUI S Y R. Effects of magnetic coupling of nonadjacent resonators on wireless power domino-resonator systems [J]. IEEE Transactions on Power Electronics, 2012, 27(4): 1905-1916.

ZHANG Fei, HACKWORTH S A, FU Weinong, et al. The relay effect on wireless power transfer using witricity [C]∥2010 14th Biennial IEEE Conference on Electromagnetic Field Computation. Piscataway, NJ, USA: IEEE, 2010: 1.

戴欣, 施惠, 孙跃. 复合谐振型非接触电能双向传输模式 [J]. 西南交通大学学报, 2013, 48(3): 487-493.

DAI Xin, SHI Hui, SUN Yue. An LCL composite resonant-type bi-directional contactless power transfer mode [J]. Journal of Southwest Jiaotong University, 2013, 48(3): 487-493.

XIANG L, SUN Y, DAI X, et al. Route optimization for wireless power transfer network based on the CE method [C]∥Electronics and Application Conference and Exposition. Piscataway, NJ, USA: IEEE, 2015: 630-634.

孙跃, 杨芳勋, 戴欣. 基于改进型蚁群算法的无线电能传输网组网 [J]. 华南理工大学学报(自然科学版), 2011, 39(10): 146-151.

SUN Yue, YANG Fangxun, DAI Xin. Construction of wireless power transfer networks based on improved ant colony optimization [J]. Journal of South China University of Technology(Natural Science Edition), 2011, 39(10): 146-151.

BABIC S, SIROIS F, AKYEL C, et al. Mutual inductance calculation between circular filaments arbitrarily positioned in space: alternative to Grover's formula [J]. IEEE Transactions on Magnetics, 2010, 46(9): 3591-3600.

康乐, 胡欲立, 张克涵. 水下磁谐振式无线电能传输系统的分析与设计 [J]. 西安交通大学学报, 2015, 49(10): 41-47.

KANG le, HU Yuli, ZHANG Kehan. Analysis and design for underwater magnetic resonance-based wireless power transfer system [J]. Journal of Xi'an Jiaotong University, 2015, 49(10): 41-47.

傅文珍, 张波, 丘东元, 等. 自谐振线圈耦合式电能无线传输的最大效率分析与设计 [J]. 中国电机工程学报, 2009, 29(18): 21-26.

FU Wenzhen, ZHANG Bo, QIU Dongyuan, et al. Maximum efficiency analysis and design of self-resonance coupling coils for wireless power transmission system [J]. Proceedings of the Chinese Society of Electrical Engineering, 2009, 29(18): 21-26.

刘小民, 张文斌. 采用遗传算法的离心叶轮多目标自动优化设计 [J]. 西安交通大学学报, 2010, 44(1): 31-35.

LIU Xiaomin, ZHANG Wenbin. Multi-objective automatic optimization design of centrifugal impeller based on genetic algorithm [J]. Journal of Xi'an Jiaotong University, 2010, 44(1): 31-35.

赵志斌, 孙跃, 周诗杰, 等. 非接触电能传输系统参数优化的改进遗传解法 [J]. 西安交通大学学报, 2012, 46(2): 106-112.

ZHAO Zhibin, SUN Yue, ZHOU Shijie, et al. Improved genetic algorithm for parameter optimization in contactless-power-transfer system [J]. Journal of Xi'an Jiaotong University, 2012, 46(2): 106-112.

LI M, LU Y, JIE L. Hybrid multipopulation cellular genetic algorithm and its performance [J]. Transactions of Nanjing University of Aeronautics and Astronautics, 2014, 31(4): 405-412.

CHEN Hao, LI Ming, CHEN Xi. Predator-prey cellular genetic algorithm for solving dynamic optimization problems [J]. Control and Decision, 2012, 27(6): 827-832.

赵进全,尹建华,夏建生,等.一种非对称输电线路参数的在线测量方法.2016,50(2):80-84.[doi:10.7652/xjtuxb201602 014]

徐海洋,宋国兵,樊占峰,等.行波波头的参数识别方法在高压直流输电系统中的应用.2016,50(2):85-90.[doi:10.7652/xjtuxb201602015]

康乐,胡欲立,张克涵.水下磁谐振式无线电能传输系统的分析与设计.2015,49(10):41-47.[doi:10.7652/xjtuxb201510 007]

陈皓勇,文俊中,王增煜,等.能量网络的传递规律与网络方程.2014,48(10):66-76.[doi:10.7652/xjtuxb201410011]

李鹏,杨玉龙,黄越辉,等.综合热电负荷控制下的省级电网风电并网研究.2014,48(2):69-73.[doi:10./xjtuxb201402 012]

周磊,汪楚清,孙清,等.玻璃纤维增强复合材料输电塔节点承载力试验研究及有限元分析.2013,47(9):112.[doi:10.7652/xjtuxb201309019]

王宏金,孟庆丰.压电振动能量收集器的等效电路建模分析与实验验证.2013,47(10):75-80.[doi:10.7652/xjtuxb2013 10013]

满蔚仕,张志禹,康青,等.利用快速S变换的电能质量扰动识别方法.2013,47(8):133-140.[doi:10.7652/xjtuxb201308 023]

赵志斌,孙跃,周诗杰,等.非接触电能传输系统参数优化的改进遗传解法.2012,46(2):106-112.[doi:10.7652/xjtuxb 201202018]

蒋国顺,李建华,夏道止,等.应用牛顿法的高压直流输电系统非特征谐波潮流算法.2011,45(6):10-110.[doi:10.7652/xjtuxb201106019]

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