国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

With the increasing demand for energy in the world, photovoltaic power generation has gradually become the mainstream of new energy power generation due to its large reserve volume and clean and non-polluting characteristics. However, because the efficiency of photovoltaic power generation is affected by the environmental lighting intensity, so, Its output power changes from time to time, so at present, the maximum power tracking(MPPT) and control technology of photovoltaic cells have become the most concerned issues in the industry. Aiming at this problem, this paper uses BP neural network technology to detect and control the maximum output power of photovoltaic cells. By introducing the basic principles of photovoltaic systems and artificial neural networks, the basic concept of BP neural network is introduced. Finally, a power control system based on BP neural network is built. Through simulation, the feasibility and correctness of the theory are proved, which can provide some help to the photovoltaic industry in China.