Energy storage power station charge-discharge intelligent regulation method and device and storage medium
By using a multi-objective dynamic programming model and adaptive weight adjustment, the problem of synergistic optimization between economic efficiency, battery life and grid support capability in the control strategy of energy storage power stations is solved, and efficient and intelligent control of energy storage systems under complex operating conditions is realized.
Patent Information
- Application Number
- CN202610531648.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing energy storage power station charging and discharging control methods cannot simultaneously take into account economic benefits, battery life loss and grid support capacity. Furthermore, the adaptability and robustness of the control strategy are insufficient when facing electricity price fluctuations and changes in dispatch instructions, making it impossible to achieve global optimal control.
A multi-objective dynamic programming model is adopted, which combines multi-source data and adaptive weight adjustment. A safe power boundary is established through periodic data collection, a total objective function is constructed, and a control architecture with rolling optimization and feedback correction is adopted to generate the optimal charge and discharge power sequence, thereby achieving deep integration of battery health status, real-time electricity price and grid dispatch.
It has improved the economy, flexibility and reliability of energy storage power stations under complex operating conditions, enabling them to proactively respond to future changes and adjust in real time, providing efficient and intelligent solutions for electricity market trading and grid ancillary services.
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