基于改进鲸鱼算法光伏阵列MPPT的研究  

Maximum power point tracking for photovoltaic array using improved whale algorithm

作　　者：孙荣霞[1] 尚娅慧 韩帅 Sun Rongxia;Shang Yahui;Han Shuai(College of Electronic Information Engineering,Hebei University,Baoding 071002,China)

机构地区：[1]河北大学电子信息工程学院,河北保定071002

出　　处：《信息技术与网络安全》2021年第1期31-36,共6页Information Technology and Network Security

摘　　要：光伏发电系统处于局部阴影遮挡时,P-V特性曲线呈现多峰状态,传统的最大功率点追踪算法已无法追踪到最大功率点。针对此问题,应用改进鲸鱼算法对光伏阵列的最大功率点进行追踪,改变原算法的收敛因子,由线性递减改为余弦形式的非线性递减,平衡全局搜索和局部搜索的能力,且加入同步余弦形式的惯性权重,提高寻优精度,加快搜索速度。在MATLAB/Simulink中建立仿真模型,并在不同控制状态下模拟不同环境进行仿真、分析、对比,验证改进鲸鱼算法的高效性和实时性。When the photovoltaic power generation system is partially shadowed,the P-V characteristic curve shows a multi-peak state,and the traditional maximum power point tracking algorithm can no longer track the maximum power point.In response to this problem,this paper applied an improved whale algorithm to track the maximum power point of the photovoltaic array.This algorithm changes the convergence factor of the original algorithm,from linear decline to nonlinear decline in the form of cosine,balances the ability of global search and local search,and adds synchronization inertial weights in the form of cosine,which improves the optimization accuracy and speeds up the search time.A simulation model was established in MATLAB/Simulink,and simulated different environments under different control states to verify the efficiency and real-time performance of the improved whale algorithm.

关 键 词：最大功率点跟踪 鲸鱼算法 收敛因子 惯性权重 

分 类 号：TM615[电气工程—电力系统及自动化]