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. In this paper, the development of power grid from three aspects are firstly introduced: sources, networks and loads. Finally, the application of artificial intelligence technologies in relay protection is introduced in. That is why the IEEE Power Systems Relaying and Control (PSRC) Committee established Working Group C43 with the task to produce a report on the Practical Applications of Artificial Intelligence / Machine Learning in Power System Protection and Control. In practical terms, intelligence can be. This book provides a complete guide to digital power system protection, emphasizing cutting-edge technologies such as digital relays, intelligent electronic devices (IEDs), artificial intelligence (AI), signal processing, and substation automation. In relay protection, AI and ML techniques are gaining traction as tools to improve the reliability and efficiency of. The advent of microprocessor-based protective relays (MBPRs) revolutionized protection schemes by introducing programmability, digital signal processing, and enhanced reliability.