基于神经网络的光伏系统MPPT控制算法设计Design of neural network based MPPT control algorithm for photovoltaic system
吕晨旭
摘要(Abstract)：
提出一种基于人工神经网络(ANN)的最大功率点跟踪(MPPT)控制算法。该算法通过扰动和观察(P&O)方法获得人工神经网络模型所需的参数,并分为离线和在线两种模式:离线模式通过测试神经网络参数,找到最佳的网络结构、激活函数和训练算法;在线模式实现优化人工神经网络以便应用于光伏系统。人工神经网络的输入变量为输出功率参数和电压参数,输出变量为归一化的增加或者减少占空比(+1或者-1)。通过Matlab/Simulink模型对所提跟踪算法的性能进行测试验证,结果显示所提算法表现出良好的动态响应速度和稳态控制精度。
关键词(KeyWords)： 人工神经网络;扰动与观测算法;光伏电池模型;MPPT控制;离线模式;在线模式
基金项目(Foundation): 供电电压质量精益化治理及提升关键技术研究;; 国网山西省电力公司项目(5205H016000B)~~
作者(Author): 吕晨旭
DOI: 10.16652/j.issn.1004-373x.2018.03.031
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