Database dynamic update management system for power system

Abstract

Abstract Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically, thereby real-time monitoring of the power grid; further, combining big data analysis and power system models, Can diagnose, optimize and predict the operation of the power grid, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid. The data sources of the power industry are mainly derived from the power generation, transmission, transformation, distribution, power consumption and dispatching of power production and use of electricity, which can be roughly divided into three categories: one is grid operation and equipment detection or monitoring data; two It is the marketing data of electric power companies, such as data on transaction electricity prices, electricity sales, and customers. Third is the management data of electric power companies. Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically to achieve real-time monitoring of the power grid; further combining big data analysis and power system models for the power grid Diagnose, optimize and predict the operation, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid.