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基于深度强化学习的海岛微电网电解槽自适应配置方法

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9Claims · 3 independent
§ Ⅰ

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Applicant

杭州妙微智汇科技有限公司

杭州妙微智汇科技有限公司 · View all patentsPatent applicant records

Inventor

畅国刚; 许亮峰

Filing Date

Jul 28, 2026

Publication Date

Oct 16, 2026

IPC Classification

H02J 3/28 (2026.01)H02J 3/48 (2026.01)H02J 3/50 (2026.01)H02J 3/18 (2026.01)H02J 3/12 (2026.01)H02J 15/50 (2026.01)C25B 1/04 (2021.01)C25B 15/02 (2021.01)G06N 3/092 (2023.01)H02J 101/24 (2026.01)H02J 101/28 (2026.01)H02J 103/35 (2026.01)

本发明涉及微电网控制技术领域，公开了基于深度强化学习的海岛微电网电解槽自适应配置方法。该方法在离散时间步长内对质子交换膜电解槽进行七态物理工况解析与衰减积分累加，利用二维查找表定点化位移寻址读取可变制氢效率；构建包含实时衰减、储能容量及风光差分的环境张量，输入深度强化学习双网络处理输出设备装机边界与分流参数；并协同硬件动作空间掩码与寿命重置触发器，将功率浪涌优先导流至蓄电池。本发明从底层电化学层面压制电极高频电压衰减，大幅降低全生命周期综合用能与重置成本。

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