摘要
光伏阵列功率-电压特性曲线在遮挡物作用下存在多个极值,但传统的最大功率点跟踪技术仅用于分析单峰特性曲线,无法在复杂多峰的情况下搜寻到全局MPP。针对该问题,提出一种引入莱维飞行机制和混沌优化策略的狮群(LE-LSO)算法。首先利用混沌搜索在初始化狮群的位置,使其分布均匀;然后采用莱维飞行策略,在狮王进行更新时,通过莱维飞行对其进行随机扰动,防止狮群丧失多样性陷入局部最优解。该算法解决了原始的狮群算法(LSO)易于过早收敛,并且在解决更为复杂的多峰值问题时容易陷入局部最优解的情况,通过Matlab/Simulink仿真,验证了该算法收敛速度快,且能对最大功率点进行有效搜索,提高了光伏发电的效率。
The PV array power-voltage characteristic curve has multiple extremums under the effect of the obstruction,but the traditional maximum power point tracking(MPPT)technology fails to search the global MPP under complex multi-peak conditions except being used to analyze the single-peak characteristic curve.In view of this,a lion swarm optimization(LSO)algorithm that introduces Levy flight mechanism and chaos optimization strategy is proposed.Chaos search is used to initialize the position of the lion swarm to make it evenly distributed.And then,the Levy flight strategy is adopted.When the lion king is updated,the lion swarm will be randomly disturbed by Levy flight to prevent the loss of diversity of the lion swarm and falling into the local optimal solution.This algorithm avoid the facts that the original LSO algorithm is prone to premature convergence and falling into local optimal solution when solving more complex multi-peak problems.It has been verified by simulation on the platform Matlab/Simulink that the algorithm has fast convergence,and can effectively search for the MPP,which improves the efficiency of photovoltaic power generation.
作者
韩鸿雁
李田泽
苑文续
张晓阳
HAN Hongyan;LI Tianze;YUAN Wenxu;ZHANG Xiaoyang(School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo 255049,China)
出处
《现代电子技术》
2021年第23期171-174,共4页
Modern Electronics Technique
基金
山东省重点研发项目(2019GGX104017)。
