摘要
针对现有的光伏系统多峰最大功率点追踪MPPT控制方法存在的不足,文中提出一种基于模拟退火改进的变步长天牛须搜索SABAS算法的MPPT控制方法。文中首先给出了SABAS建模过程以及相关性能分析,随后利用实验与仿真给出了基于SABAS的MPPT控制方法的仿真实验结果,以及与其他MPPT控制方法的比较。实验与仿真结果表明,本文提出的MPPT控制方法具有较强的抗干扰能力,并且在多峰情况下能够无稳态震荡地对最大功率点进行追踪。
To overcome the shortcomings of the existing multi-peak maximum power point tracking(MPPT)control methods for a photovoltaic system,a novel MPPT control method is proposed based on the simulated annealing Beetle antennae search(SABAS)algorithm.First,the SABAS modeling process and the related performance analysis are giv⁃en.Then,the simulation results using the SABAS-based MPPT control method are obtained,and this method is further compared with other MPPT control methods.Results show that the proposed MPPT control method has stronger anti-in⁃terference capability,and it can track the maximum power point without steady-state oscillations under multi-peak con⁃ditions.
作者
汪玉凤
王燚增
田晋羽
WANG Yufeng;WANG Yizeng;TIAN Jinyu(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao 125105,China;Jinzhou Power Supply Company,State Grid Liaoning Electric Power Supply Co.,Ltd,Jinzhou 121000,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2020年第1期66-72,共7页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(51307076)
关键词
光伏系统
最大功率点追踪控制
模拟退火
天牛须搜索算法
photovoltaic system
maximum power point tracking(MPPT)control
simulated annealing
Beetle anten⁃nae search algorithm
