This project aims to combine artificial intelligence theories and methods such as deep learning, machine learning, and data mining to study a new type of fault diagnosis and relay protection method for power systems. able sources such as wind and solar. These clean energy sources, connected through inverters and flexible transmission systems, are transforming traditional grids based on synchronous generators into more flexibl cant challenges to system stability. Nowhere is that clearer than in the challenge to. Relay protection technology plays a vital role in fault detection, isolation, and recovery, evolving with intelligent algorithms, digital equipment, and automated coordination to enhance grid reliability. This paper explores the development of relay protection technology in smart grids, analyzing. With the rapid development of power grid, the structure and technology of the secondary system in substations are also constantly innovating. Introduction Nowadays, with the increasing complexity of power grid structures, fault. To achieve information sharing and interoperability among intelligent electrical equipment in intelligent substations, the author proposes research on relay protection and security technology for the expansion project of intelligent substations. Taking the 500 kVA intelligent substation in Shenzhen. Artificial Intelligence (AI) and Machine Learning (ML) are two powerful technologies that have been rapidly advancing in various industries, including electrical power systems.