一种混合电解槽集群的控制方法及相关装置
By employing a hybrid long-term and short-term model predictive control strategy, the startup and operation status of AEL and PEMEL electrolyzers are dynamically adjusted, solving the problem of poor control performance of hybrid electrolyzer clusters. This achieves adaptability and real-time performance to renewable energy fluctuations and improves the operating efficiency of the electrolyzers.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA DATANG GRP TECH INNOVATION CO LTD
- Filing Date
- 2025-06-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing control methods for hybrid electrolyzer clusters have failed to effectively coordinate the characteristics of AEL and PEMEL electrolyzers, resulting in poor control performance and difficulty in adapting to the volatility of renewable energy.
A hybrid long-term and short-term model predictive control strategy is adopted, which combines long-term and short-term predictive models to dynamically adjust the number of AEL electrolyzers and the operating status of PEMEL electrolyzers, thereby achieving coordinated control of the hybrid electrolyzer cluster.
It improves the control effect of the hybrid electrolyzer cluster, realizes adaptability and real-time performance to renewable energy fluctuations, and enhances the operating efficiency and flexibility of the electrolyzer.
Smart Images
Figure CN120722808B_ABST