摘要
针对激光无线输能系统接收端激光光伏阵列由于激光强度不均匀和不稳定而导致其输出P-U特性曲线呈现多峰、波动性强、稳定性差的问题,首先结合砷化镓激光光伏电池的输出特性,建立激光光伏电池阵列模型,分析其多峰产生的原因。然后利用捕猎搜索算法动态调节粒子群算法中粒子的搜索空间,改进粒子的控制机制,提高了算法的收敛速度、跟踪精度和稳定性,且可有效避免算法陷入局部最优解。最后基于交错并联Boost电路,通过Matlab/Simulink仿真验证了该算法在激光无线输能系统输出最大功率跟踪方面应用的有效性和可行性。
The P-U characteristic curve of the PV array in the received side of the laser power transmission system performs multi-peak and has more volatility and worse stability due to receiving the laser with non-uniform and non-instability intensity. This paper built equivalent circuit model about the PV array on the basis of the output characteristic of the GaAs PV cells to analyze the reason for the multi peaks. And then applies Predatory Search Algorithm to dynamically adjust the search space in Particle Swarm Optimization Algorithm to optimize the control mechanism of the particles. The convergence speed,tracking accuracy and stability of the PSO Algorithm have been improved. And which can effectively avoid being trapped in the local optimal solution. Based on the interleaved boost circuit,the feasibility and effectiveness of the MPPT algorithm used in the laser power transmission system were verified by using Matlab/Simulink to simulate.
作者
熊振阳
蔡榕
徐国宁
贾忠臻
Xiong Zhenyang;Cai Rong;Xu Guoning;Jia Zhongzhen(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2022年第9期21-29,共9页
Acta Energiae Solaris Sinica
基金
中国科学院战略性先导专项(临近空间科学实验系统XDA17020304)。
关键词
激光无线输能
光伏阵列
最大功率点跟踪
粒子群优化算法
捕猎搜索算法
多峰特性
laser power transmission
PV arrays
maximum power point tracking
particle swarm optimization(PSO)
predatory search algorithm
multi-peak characteristic
