摘要
为解决光伏阵列最大功率点在外部环境条件变化时难以进行有效的跟踪,以及传统的最大功率点跟踪(MPPT)方法常常会导致搜索陷入局部极值而且响应速度慢的问题,采用理论分析和仿真的方法,提出一种基于萤火虫算法(FA)的变步长MPPT算法,对传统FA算法的结构和参数进行分析改进,将萤火虫初始位置分散定位在可能的峰值点电压处,并设计引入闪烁度以自适应调整萤火虫步长,使FA算法在MPPT控制方向更加实用化.研究结果表明:该算法能够快速且准确地跟踪最大功率点.研究结论有效地提高光伏阵列输出效率.
In order to solve the problem that the maximum power point of PV array is difficult to effectively track when the external environment condition changes,and the traditional method of MPPT(Maximum Power Point Tracking)often leads to search into the local extreme value and the problem of slow response,this paper proposes a FA(Firefly Algorithm)based variable step size MPPT algorithm,analyzes and improves the structure and parameters of traditional FA algorithm,and disperses the firefly initial position locating in the peaks of the possible voltage.In addition,scintillation degree is designed to adjust the firefly step size adaptively,so that FA algorithm can be more practical in MPPT control direction.Algorithm and the simulation results show that the algorithm can quickly and accurately track the maximum power point.Research conclusions effectively improve the efficiency of PV array output.
作者
付华
张彤
于田
杨傲
FU Hua;ZHANG Tong;YU Tian;YANG Ao(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao 125105,China;Fuxin Electric Power Supply Company,State Grid Liaoning Electric Power Supply Company Limited,Fuxin 123000,China)
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2021年第2期156-162,共7页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金(51974151)
