Power grid security guarantee method and system for large-scale power grid power transformer power regulation
By constructing a digital twin model of the transformer and dividing the control subnet, the problem of insufficient control accuracy and safety of power grid transformers was solved, and scientific power control and global optimization were achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 西交网络空间安全研究院
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the power regulation of power grid transformers suffers from insufficient regulation accuracy and safety, cannot adapt to the time-varying coupling characteristics of new energy output and load, and lacks quantitative assessment of the dynamic safety boundary of transformers, resulting in a lack of scientific basis for regulation commands.
A digital twin model of the transformer is constructed using a transfer learning algorithm. Combining the electrical topology and the electrical coupling strength across multiple time sections, the control subnet is divided. Power disturbances are simulated using the digital twin model to calculate the power regulation safety margin, generate the optimal control strategy, and perform rolling optimization using model predictive control.
It improves the accuracy and safety of power grid transformer regulation, provides a scientific basis for regulation, reduces regulation costs, and achieves forward-looking global optimization.
Smart Images
Figure CN122418679A_ABST