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纸质出版:2026
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郑诗程, 刘旭, 周松林, 等. 基于光-储-氢直流微网效率的动态协调控制[J]. 太阳能学报, 2026,47(5):81-90.
郑诗程, 刘旭, 周松林, et al. 基于光-储-氢直流微网效率的动态协调控制[J]. 2026, 47(5): 81-90.
郑诗程, 刘旭, 周松林, 等. 基于光-储-氢直流微网效率的动态协调控制[J]. 太阳能学报, 2026,47(5):81-90. DOI: 10.19912/j.0254-0096.tynxb.2024-2367.
郑诗程, 刘旭, 周松林, et al. 基于光-储-氢直流微网效率的动态协调控制[J]. 2026, 47(5): 81-90. DOI: 10.19912/j.0254-0096.tynxb.2024-2367.
针对光伏制氢系统如何提高电能利用率和产氢稳定性的问题
综合考虑直接耦合高电能利用率以及间接耦合灵活可控的优点
提出一种以最大效率点跟踪为目标的光伏制氢动态协调控制策略。首先建立光伏发电模型、电解槽制氢效率模型以及蓄电池稳压模型
在离网模式下
采用粒子群优化算法及滑模变结构控制实现电解槽最大效率点跟踪;然后根据光伏最大输出功率和蓄电池的荷电状态
对光伏制氢系统进行动态优化协调控制;最后对算法进行仿真验证。结果表明
所提方法既能通过判断光伏最大输出功率和蓄电池的荷电状态
进行5种不同工况的灵活切换
又能在工作温度变化时实时跟踪最大效率点
可达到提高系统能量转换效率
减小电流纹波的目的。
To address the issues of improving electricity utilization and hydrogen production stability in photovoltaic hydrogen production systems
a dynamic coordination control strategy based on maximum efficiency point tracking is proposed
considering both the advantages of direct coupling for high electricity utilization and indirect coupling for flexibility and control. First
photovoltaic power generation models
electrolysis hydrogen production efficiency models
and battery voltage regulation models are established. In off-grid mode
the particle swarm optimization algorithm and sliding mode control are used to achieve maximum efficiency point tracking for the electrolyzer. Then
based on the maximum output power of the photovoltaic system and the battery's state of charge
dynamic coordination control optimization of the photovoltaic hydrogen production system is performed. Finally
the algorithm is validated through simulations. The results show that the proposed method can flexibly switch between five different operating conditions by evaluating the maximum output power of the photovoltaic system and the battery's state of charge. It can also track the maximum efficiency point in real-time when the operating temperature changes
thus improving the system's energy conversion efficiency and reducing current ripple.
王加荣, 杨博, 张芮, 等. 基于风电预测的碱性电解槽系统优化控制[J]. 电网技术, 2024, 48(7): 2940-2947.
刘业凤, 周明杰. 太阳能电解水制氢直接耦合连接技术[J]. 电源技术, 2013, 37(7): 1171-1173,1187.
CHENG H, XIA Y, WEI W.Hydrogen production efficiency enhancement for alkaline water electrolyzers operating at varying temperature via an adaptive multi-mode control[J]. International journal of hydrogen energy, 2024, 93: 430-440.
ZHOU Z, ZHANG S, ZHONG Y, et al.A predictive control method for multi-electrolyzer off-grid hybrid hydrogen production systems with photovoltaic power prediction[J]. International journal of hydrogen energy, 2024, 84: 383-393.
田雪沁, 姚红雨, 袁铁江. 基于DRL的光伏-电解槽直接耦合制氢系统运行优化方法[J]. 中国电机工程学报, 2025, 45(21): 8459-8473.
李军舟, 赵晋斌, 曾志伟, 等. 具有动态调节特性的光伏制氢双阵列直接耦合系统优化策略[J]. 电网技术, 2022, 46(5): 1712-1721.
郭常青, 伊立其, 闫常峰, 等. 太阳能光伏-PEM水电解制氢直接耦合系统优化[J]. 新能源进展, 2019, 7(3): 287-294.
徐立军, 王维庆, 段友莲, 等. 用DC/DC变换器进行光伏直接耦合制氢的优化方法[J]. 电源技术, 2018, 42(11): 1668-1671.
李奇, 蒲雨辰, 韩莹, 等. 电-氢孤岛直流微电网的分层能量管理[J]. 西南交通大学学报, 2020, 55(5): 912-919.
李建林, 赵文鼎, 梁忠豪, 等. 光储一体化耦合制氢系统控制策略及仿真分析[J]. 热力发电, 2022, 51(11): 148-155.
FANG X, ZHONG X, DONG W, et al.Fuzzy logic-based coordinated operation strategy for an off-grid photovoltaic hydrogen production system with battery/supercapacitor hybrid energy storage[J]. International journal of hydrogen energy, 2024, 84: 593-605.
李建林, 赵文鼎, 梁忠豪, 等. 不同工况下光储氢微网系统协调控制策略[J]. 太阳能学报, 2024, 45(7): 10-19.
赵宇洋, 赵钰欢, 郭英军, 等. 离网型风光氢储系统容量配置与控制优化[J]. 太阳能学报, 2024, 45(7): 50-59.
MAS R, PICHILINGUE D, BERASTAIN A, et al.On the application of sliding mode control to indirectly coupled photovoltaic-electrolyzer systems used in the production of clean energy[J]. International journal of thermofluids, 2024, 23: 100747.
HONG Z, WEI Z, HAN X.Optimization scheduling control strategy of wind-hydrogen system considering hydrogen production efficiency[J]. Journal of energy storage, 2022, 47: 103609.
李军舟, 赵晋斌, 陈逸文, 等. 考虑动态功率区间和制氢效率的电转氢(P2H)设备容量配置优化[J]. 电工技术学报, 2023, 38(18): 4864-4874.
张东宁. 基于改进电导增量法的光伏最大功率点跟踪策略研究[J]. 太阳能学报, 2022, 43(8): 82-90.
朱瑞, 段彬, 温法政, 等. 基于分布式最小二乘法的锂离子电池建模及参数辨识[J]. 机械工程学报, 2019, 55(20): 85-93.
张勇, 彭勇刚, 韦巍. 计及制氢效率的光-储-氢系统协调控制策略研究[J]. 太阳能学报, 2021, 42(11): 67-75.
王东风, 孟丽. 粒子群优化算法的性能分析和参数选择[J]. 自动化学报, 2016, 42(10): 1552-1561.
BARAEAN A, KASSAS M, ALAM M S, et al.Physics-informed NN-based adaptive backstepping terminal sliding mode control of buck converter for PEM electrolyzer[J]. Heliyon, 2024, 10(7): e29254.
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