Abstract:Abstract：With the continuous expansion of power network scale and the increasing complexity， network security is facing severe challenges. The application of artificial intelligence (AI) in the field of power network security has become a research hotspot. AI technology can be used for threat detection in power network security. For example， machine learning algorithms can analyze a large amount of data in the power system， including network traffic， equipment operation parameters， etc.， to identify abnormal patterns， and its detection accuracy is significantly improved compared with the traditional methods. In order to explore the artificial intelligence-based approach (AI; AI) to improve the security of smart grids, this time using the literature survey method, the practice survey method, combined with many years of work experience in the power field to analyze. This paper briefly explains the content related to AI technology and smart grid, and then focuses on exploring feasible security improvement strategies based on AI technology. After research, it is concluded that, on the one hand, it is necessary to lay the foundation and realize it from the transformation of ideology and technology research and development; On the other hand, it is the use of diversified AI technology methods, such as machine learning algorithms, deep learning, neural networks, time series, fuzzy logic, machine learning, NAGI technology, transfer learning, access control, etc., to improve the safety and quality of smart grids, in the hope that the relevant results can provide valuable reference for peers.