AGC signal intelligent correction and control method, device, equipment and medium
By collecting multi-source heterogeneous data and using digital twin models and incremental PID algorithms for intelligent correction and control of AGC commands, the problems of insufficient signal accuracy and poor adaptability of prediction models in AGC control of thermal power units have been solved. This has enabled accurate power prediction and dynamic compensation of the unit, improving the quality of AGC regulation and the stability of unit operation.
Patent Information
- Application Number
- CN202511778446.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-28
- Publication Date
- 2026-02-13
AI Technical Summary
The existing AGC control of thermal power units suffers from insufficient signal accuracy and poor adaptability of prediction models, resulting in substandard AGC performance indicators, which affects the economic benefits of power plants, increases the risk of equipment loss, and makes it difficult to effectively cope with frequency fluctuations caused by the consumption of new energy.
By collecting multi-source heterogeneous data from the power grid dispatching side and the power plant side, and using digital twin models and incremental PID algorithms to intelligently correct and control AGC command signals, the corrected AGC command signals are generated and incrementally superimposed onto the unit's distributed control system to achieve precise control across the entire load range.
It improves the response speed and tracking accuracy of AGC commands, reduces fluctuations in the power regulation process, optimizes the AGC regulation quality, and ensures that the unit can achieve stable and economical operation while meeting the grid dispatch requirements.