摘要
针对光伏发电系统最大功率跟踪传统电导增量法的暂态响应速度和稳态精度方面的不足,文章提出一种基于BP神经网络控制的MPPT策略。利用Matlab/Simulink环境搭建光伏系统及其MPPT控制器模型并进行仿真实验。
Aiming at the shortcomings of the transient response speed and steady-state accuracy of the traditional conductance incremental method for the maximum power tracking of photovoltaic power generation systems,an MPPT strategy which based on BP neural network control was proposed.The Matlab/Simulink environment was used to build a photovoltaic system and its MPPT controller model and the simulation experiments were carried out.
作者
徐伟
郑建立
XU Wei;ZHENG Jianli(School of information science and technology,Donghua University,Shanghai 201620,China;Xintian Power Electronics Research Institute,Shanghai 201000,China)
出处
《电工技术》
2020年第12期62-65,共4页
Electric Engineering
关键词
光伏发电
最大功率跟踪
BP神经网络
控制策略
photovoltaic power generation
maximum power tracking
BP neural network
control strategy
