Abstract
As contemporary technologies progress, traditional energy sources have become increasingly constrained by limited resources and environmental concerns. Consequently, there has been a substantial push for the widespread adoption of new energy sources, which offer abundant resources, superior energy quality, and environmental cleanliness. Among these sources, solar energy has gained significant prominence as a key component in the development of new energy in various nations. However, enhancing the power generation efficiency and optimizing the power peak point capture of photovoltaic panels represents a crucial area of current research focus. This article first introduces the principle and structure of the photovoltaic system. Further, the paper proposed the application of artificial intelligence in dual-axis tracking technology and offers a detailed solution for the efficient tracking of power points. Through research, artificial intelligence has optimized parameters in the dual-axis tracking system through remote operation technologies such as WIFI modules so that the dual-axis tracking system can efficiently track the power peak point of the photovoltaic board.
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