摘要
光伏阵列在非均匀光照条件下的P-U输出特性曲线呈现多个峰值。针对这一现象,提出一种基于金枪鱼群优化算法的最大功率点跟踪(MPPT)算法。该算法对多峰值功率输出特性可有效追踪其最大功率,对于光强突变后的全局最大功率可有效追踪且收敛速度快。仿真实验表明:在静态和动态阴影条件下,金枪鱼群优化MPPT算法都可高精度、快速追踪到最大功率点。相比于灰狼MPPT算法和改进蝴蝶MPPT算法,其在动态阴影下的仿真结果表明金枪鱼群MPPT算法具有更高的精度、更小的振荡和更快的收敛速度,其追踪精度高达99.9%,收敛仅用0.28 s。
The P-U output characteristic curve of photovoltaic arrays under non-uniform illumination conditions presents multiple peaks.Aiming at this phenomenon,a maximum power point tracking algorithm based on tuna swarm optimization algorithm was proposesd.The proposed method was capable of tracking the maximum power of multipeak power output characteristics.The proposed method could also effectively track the global maximum power after light intensity abrupt change with fast convergence speed.Simulation experiments show that the tuna swarm optimization MPPT algorithm can track to the maximum power point with high precision and fast under both static and dynamic shadow conditions.Compared with the grey wolf MPPT algorithm and the improved butterfly MPPT algorithm,the simulation results under dynamic shadows show that the tuna swarm MPPT algorithm has higher precision,smaller oscillation and faster convergence speed.The proposed algorithm has a tracking precision of 99.9%and only 0.28 s to converge.
作者
孙淑琴
李丞
李再华
祁鑫
SUN Shuqin;LI Cheng;LI Zaihua;QI Xin(Lab of Geo-Exploration and the Instrumentation Ministry of Education of China,Instrumentation and Electrical Engineering College,Jilin University,Changchun Jilin 130026,China;China Electric Power Research Institute,Beijing 100192,China)
出处
《电源技术》
CAS
北大核心
2023年第9期1202-1206,共5页
Chinese Journal of Power Sources
基金
北京科东电力控制系统有限责任公司项目(3R219K960537)
国家电网有限公司项目(5100-202124011A)。
关键词
金枪鱼群优化算法
最大功率点跟踪
局部阴影
光伏发电
tuna swarm optimization algorithm
maximum power point tracking
partial shading
photovoltaic power generation
