Integration and Application of Artificial Intelligence Algorithm in Electrical Automation Control System

This paper discusses the integration and application of artificial intelligence (AI) algorithm in electrical automation control system (EACS), aiming at improving the intelligent level of the system and realizing more efficient, flexible and safe industrial production. Firstly, this paper analyzes the core role of EACS in modern industry and the limitations of traditional systems in data processing, decision-making and adaptive control. Subsequently, the paper introduces the application potential of AI algorithm, especially deep learning, machine learning and reinforcement learning, in fault diagnosis, control algorithm optimization, electrical equipment design and condition monitoring. It is pointed out that the integration of AI algorithm involves three core links: data acquisition and processing, model construction and training, and decision-making and control. Through these links, AI algorithm can realize efficient processing of massive data, intelligent decision-making and adjustment of adaptive control strategy. Through the case analysis of smart grid, this paper further demonstrates the application process and effect evaluation of AI algorithm in actual EACS. The results show that the application of AI algorithm significantly improves the energy utilization efficiency, reduces the operation and maintenance cost, and enhances the security of power grid.