Research and Development of Hybrid Intelligent Enhancement Analysis and Control System for Stability of Large Power Grid

The following achievements have been made: in the research of the operation image model of the large power grid, a real-time operation image model of the large power grid has been proposed. Corresponding solutions or technologies such as serviceability calculation have been proposed for typical difficult problems in dynamic measurement data and analysis calculation. Combined with the production needs of demonstration projects, the overall architecture design of the large power grid image model has been proposed, and the interface with simulation data and measurement data has been established to establish the large power grid image model. We have designed and implemented intelligent analysis and decision-making functions for the static safety and dynamic response characteristics of the power grid, as well as a laboratory validation plan for the effectiveness of response driven stability discrimination and control measures. In the analysis of the evolution of transient safety and stability characteristics in electromagnetically systems, a technical route for power grid image model “prediction-planning-correction” state deduction has been proposed, providing basic materials for system state analysis under different operating conditions. We have established a provincial-level grid 10000 node point mixed simulation verification platform, which can be used to verify the effectiveness testing of prototypes in operating scenarios, and conducted research on demonstration project implementation plans.