基于改进粒子群算法的无线充电系统参数优化  

Parameter Optimization of Wireless Charging System Based on Improved PSO Algorithm

作　　者：王成亮[1] 潘志新 翟学锋[1] 肖宇华 刘玙 WANG Chengliang;PAN Zhixin;ZHAI Xuefeng;XIAO Yuhua;LIU Yu(Jiangsu Fangtian Electric Power Technology Co.,Ltd.,Nanjing 211100,Jiangsu,China;State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210024,Jiangsu,China)

机构地区：[1]江苏方天电力技术有限公司,江苏南京211100 [2]国网江苏省电力有限公司,江苏南京210024

出　　处：《电气传动》2023年第3期64-69,共6页Electric Drive

基　　金：国网江苏省电力有限公司科技项目(J2020008)。

摘　　要：基于LCC-S型补偿拓扑的磁耦合谐振式无线充电(MCR-WPT)系统,建立其数学模型,从工作频率、补偿电感和负载阻抗三个方面分析其对系统传输性能的影响。针对目前高阶补偿拓扑的参数难以达到最优配置的问题,以提高系统的传输效率为优化目标,以输出功率为约束条件,建立其优化模型,对高阶非线性参数最优配置问题进行优化。为避免优化结果陷入局部最优,提出一种基于种群进化的混合粒子群优化(HPSO)算法,并基于LCC-S型无线电能传输(WTP)系统优化模型对传统的粒子群算法和改进的算法进行仿真对比。结果表明改进的粒子群算法可有效地避免优化结果陷入局部最优。最后,搭建了无线充电系统实验平台,对系统的工作频率特性和负载阻抗特性进行实验分析,实验结果与理论分析和仿真优化结果一致。The mathematical model of magnetic coupled resonant wireless power transfer(MCR-WPT)system based on LCC-S compensation topology was established. Meanwhile,the influence on the transmission performance of the system was analyzed from three aspects:operating frequency,compensating inductance and load impedance. Aiming at the problem that the parameters of higher-order compensation topology are difficult to achieve the optimal configuration,taking improving the transmission efficiency of the system as the optimization objective,and taking output power as the constraint condition,the optimization model was established to optimize the optimal configuration of high-order nonlinear parameters. A hybrid particle swarm optimization(HPSO)algorithm based on population evolution was proposed to avoid the optimization result falling into local optimum.The traditional PSO algorithm and the improved algorithm were simulated and compared based on the LCC-S type wireless power transfer(WTP)system optimization. The result shows that the improved HPSO algorithm can effectively avoid the optimization result falling into local optimum. Finally,the experimental platform of WPT system was built,and the operating frequency characteristics and load impedance characteristics of the system were analyzed experimentally. The experimental results are consistent with the theoretical analysis and simulation optimization results.

关 键 词：无线电能传输 补偿拓扑 粒子群算法 非线性优化 

分 类 号：TM724[电气工程—电力系统及自动化]