Application of BP neural network in MPPT control of photovoltaic power generation
ZHANG Chao
LYU Yuefei
ZHAO Yaxiong
ZHANG Shuxun
ZHANG Wei
Abstract：The maximum power point tracking(MPPT)method enables PV modules with limited capacity to generate more power at the same time and under the same conditions.By using BP neural network,with the ambient temperature and solar irradiance of PV module as input and the maximum power point voltage as output,BP neural network is trained with limited data to achieve high precision fitting.The results show that the network can output the maximum power point voltage when input arbitrary temperature and light irradiance,and realize the photovoltaic module running in the maximum power generation state by controlling the output voltage of the photovoltaic module.
Keywords：photovoltaic power generationmaximum power point tracking(MPPT)neural network
Publication Date：2025-01-31
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 26-28 )