Exploration on Artificial Intelligence Technology in Power System State Estimation, Monitoring and Early Warning System
Shi Jie, Zhang Yanxia, Xiong Wang, Niu Xueying · 2023
A modern dispatch center requires the ability to quickly, accurately, and comprehensively grasp the actual operation status of the power grid, predict and analyze the operating trend of the system, take corresponding measures to address problems that arise during operation, and provide decision-making for the next step of operation to ensure the safe and economic operation of the power grid. Therefore, developing new microcomputer monitoring and analysis methods has become an urgent task for the power grid dispatch department. The purpose of this article is to study the monitoring and warning system for power system state estimation based on artificial intelligence technology. In this design, the main technologies used include the Java platform, Document Object Model technology, Hibernate persistence technology, etc. On this basis, the data communication and analysis function module, state estimation and early warning monitoring module, and data viewing function were designed, and the entire monitoring system architecture was ultimately implemented. After the design was completed, the system testing was completed using black box as the main testing method. The test structure showed that the upgraded and optimized OPEN 3000 overcame the drawbacks of the original operation monitoring, and eliminated all functional bugs to 0, achieving its set concept.