节能2025，Vol.44Issue(1)：26-28,3.DOI:10.3969/j.issn.1004-7948.2025.01.007
BP神经网络在光伏发电MPPT控制中的应用
Application of BP neural network in MPPT control of photovoltaic power generation
张朝 1吕月飞 1赵亚雄 1张树勋 1张维1
作者信息
- 1. 华能新能源股份有限公司蒙西分公司,内蒙古呼和浩特 010020
- 折叠
摘要
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.关键词
光伏发电/最大功率点跟踪(MPPT)/神经网络Key words
photovoltaic power generation/maximum power point tracking(MPPT)/neural network分类
信息技术与安全科学引用本文复制引用
张朝,吕月飞,赵亚雄,张树勋,张维..BP神经网络在光伏发电MPPT控制中的应用[J].节能,2025,44(1):26-28,3.
