A wind-solar-storage integrated multi-energy coordinated control method
By constructing a wind and solar ultra-short-term power prediction model and dynamic health status management, the problem of prediction distortion in multi-energy systems under extreme conditions was solved, and the health status optimization of energy storage equipment and the extension of system life were achieved.
Patent Information
- Application Number
- CN202611099928.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-23
- Publication Date
- 2026-10-09
AI Technical Summary
Existing multi-energy coordinated control technologies suffer from prediction distortion under extreme or sudden weather conditions, causing energy storage units to be exposed to high thermal stress and high current cyclic alternating physical conditions for a long time, resulting in reduced equipment lifespan and increased operating costs.
A wind and solar ultra-short-term power prediction model is constructed. By combining physical information neural networks and dynamic health status models, the control strategy is optimized to generate dynamic charge and discharge boundaries and penalty weights. Through model predictive control, the flexible boundary and penalty adaptive adjustment of the system are realized, thereby improving prediction robustness and health status management.
It effectively alleviates the electrochemical and thermodynamic degradation of energy storage equipment, slows down the aging process, and achieves closed-loop coordinated control of the economy of multi-energy systems and the operating life of physical assets.