Control method and system of double-winding generator and energy storage combined power supply device
By employing a multi-timescale collaborative control method in the power system, combining sliding mode control, deep reinforcement learning, and game theory, the problem of traditional control methods struggling to balance response and steady-state accuracy under dynamic load changes is solved. This achieves rapid response and optimized control, improving the adaptability and robustness of the power system.
Patent Information
- Application Number
- CN202511350270.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-22
- Publication Date
- 2025-10-28
- Estimated Expiration
- 2045-09-22
AI Technical Summary
In existing power systems, the control methods for parallel energy storage and generator systems mainly rely on control strategies with a single time scale, which are difficult to cope with dynamic load changes. This makes it difficult for the power system to balance dynamic response and steady-state accuracy. Furthermore, traditional methods lack adaptive evolution capabilities, which limits the system's adaptability and robustness.
A multi-timescale collaborative control method based on a dual-winding generator and energy storage combined power supply device is adopted. Through a hierarchical and time-divisional dynamic coordination mechanism, combined with sliding diaphragm control, deep reinforcement learning and game theory, it achieves millisecond-level instantaneous disturbance suppression, second-level PI allocation and minute-level power distribution optimization, and constructs an adaptive dynamic response system.
It achieves rapid response and optimized control in highly dynamic and fluctuating environments, improves power quality, system robustness and economy, takes into account voltage stability, energy efficiency optimization and equipment life, and adapts to different load change scenarios.