改进的金豺优化算法在光伏MPPT中的研究  

Improved Golden Jackal Optimization Algorithm in PV MPPT

作　　者：师尚 孔令刚[2] Shang Shi;Linggang Kong(Key Laboratory of Optoelectronic Technology and Intelligent Control,Ministry of Education,Lanzhou Jiaotong University,Lanzhou Gansu;National Engineering Research Center for Green Coating Technology and Equipment,Lanzhou Jiaotong University,Lanzhou,Gansu)

机构地区：[1]兰州交通大学光电技术与智能控制教育部重点实验室,甘肃兰州 [2]兰州交通大学国家绿色镀膜技术与装备工程研究中心,甘肃兰州

出　　处：《建模与仿真》2024年第3期3525-3534,共10页Modeling and Simulation

摘　　要：光伏发电系统在实际生活中,易受到天气条件、阴影效应、污染物等多种因素的干扰,影响光伏发电系统的发电效率、稳定性、维护成本以及美观度。光伏发电系统在理想情况下输出的P-U曲线是单峰值的,当光伏组件处于光照遮荫的情况下,光伏发电系统输出的P-U曲线会出现多个峰值点。这种情况下,最大功率点追踪(MPP)由单峰值寻优变为多峰值寻优,降低了光伏系统的发电效率。针对常规的MPPT控制算法响应速度慢、早熟、震荡的问题,引入了金豺优化算法(Golden jackal optimization,GJO)。针对GJO算法收敛速度慢、跟踪效率差、追踪精确度低的问题,本文提出了一种优化的金豺优化算法(P-GJO),提高了光伏发电的效率。Photovoltaic(PV)power generation systems are susceptible to interference from a variety of factors,such as weather conditions,shading effects,and pollutants,which affect the power generation efficiency,stability,maintenance costs,and aesthetics of PV power generation systems in real life.The P-U curve of PV power generation system output is single peaked under ideal conditions,when the PV module is under light shading,the P-U curve of PV power generation system output will have multiple peak points.In this case,the maximum power point tracking(MPP)changes from single-peak seeking to multi-peak seeking,which reduces the power generation efficiency of the PV system.Based on the existing algorithms,this paper proposes a golden jackal optimization(GJO)algorithm to improve the efficiency of PV power generation.

关 键 词：光伏发电系统 最大功率点追踪 金豺优化算法 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]