基于光-储-氢直流微网效率的动态协调控制

郑诗程; 刘旭; 周松林; 杨志军

doi:10.19912/j.0254-0096.tynxb.2024-2367

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (5) : 81-90. DOI: 10.19912/j.0254-0096.tynxb.2024-2367

基于光-储-氢直流微网效率的动态协调控制

郑诗程¹, 刘旭¹, 周松林², 杨志军¹

作者信息 +

DYNAMIC COORDINATED CONTROL BASED ON EFFICIENCY OF PV-STORAGE-HYDROGEN DC MICROGRID

Zheng Shicheng¹, Liu Xu¹, Zhou Songlin², Yang Zhijun¹

Author information +

文章历史 +

摘要

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。

Abstract

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.

导出引用

郑诗程, 刘旭, 周松林, 杨志军. 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 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2367

Zheng Shicheng, Liu Xu, Zhou Songlin, Yang Zhijun. DYNAMIC COORDINATED CONTROL BASED ON EFFICIENCY OF PV-STORAGE-HYDROGEN DC MICROGRID[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 81-90 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2367

中图分类号： TK91

参考文献

[1] 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.
WANG J R, YANG B, ZHANG R, et al.Optimization control of alkaline electrolyzer system based on wind power prediction[J]. Power system technology, 2024, 48(7): 2940-2947.
[2] 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.
LIU Y F, ZHOU M J.Direct coupling of an electrolyser to a solar PV system for hydrogen generation[J]. Chinese journal of power sources, 2013, 37(7): 1171-1173,1187.
[3] 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.
[4] 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.
[5] 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.
TIAN X Q, YAO H Y, YUAN T J.Optimization method for operation of photovoltaic electrolytic cell direct coupling system based on DDPG[J]. Proceedings of the CSEE, 2025, 45(21): 8459-8473.
[6] 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.
LI J Z, ZHAO J B, ZENG Z W, et al.Optimization strategy of photovoltaic hydrogen production dual array direct coupling system with dynamic regulation characteristics[J]. Power system technology, 2022, 46(5): 1712-1721.
[7] 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.
GUO C Q, YI L Q, YAN C F, et al.Optimization of photovoltaic-PEM electrolyzer direct coupling systems[J]. Advances in new and renewable energy, 2019, 7(3): 287-294.
[8] 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.
XU L J, WANG W Q, DUAN Y L, et al.Optimized method of photovoltaic generator-water electrolyser direct coupling through DC/DC converter[J]. Chinese journal of power sources, 2018, 42(11): 1668-1671.
[9] 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.
LI Q, PU Y C, HAN Y, et al.Hierarchical energy management for electric-hydrogen island direct current micro-grid[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 912-919.
[10] 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.
LI J L, ZHAO W D, LIANG Z H, et al.Control strategy and simulation analysis of coupled optical storage systems for hydrogen production[J]. Thermal power generation, 2022, 51(11): 148-155.
[11] 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.
[12] 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.
LI J L, ZHAO W D, LIANG Z H, et al.Coordinated control strategies for photovoltaic energy storage hydrogen energy micro-grid systems under different operating conditions[J]. Acta energiae solaris sinica, 2024, 45(7): 10-19.
[13] 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.
ZHAO Y Y, ZHAO Y H, GUO Y J, et al.Capacity configuration and control optimization of off-grid wind solar hydrogen storage system[J]. Acta energiae solaris sinica, 2024, 45(7): 50-59.
[14] 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.
[15] 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.
[16] 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.
LI J Z, ZHAO J B, CHEN Y W, et al.Optimal capacity configuration of P2H equipment considering dynamic power range and hydrogen production efficiency[J]. Transactions of China Electrotechnical Society, 2023, 38(18): 4864-4874.
[17] 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.
ZHANG D N.Research on photovoltaic maximum power point tracking strategy based on improved conductance increment method[J]. Acta energiae solaris sinica, 2022, 43(8): 82-90.
[18] 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.
ZHU R, DUAN B, WEN F Z, et al.Lithium-ion battery modeling and parameter identification based on decentralized least squares method[J]. Journal of mechanical engineering, 2019, 55(20): 85-93.
[19] 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.
ZHANG Y, PENG Y G, WEI W.Coordination control for PV, storage and hydrogen system considering hydrogen energy conversion efficiency[J]. Acta energiae solaris sinica, 2021, 42(11): 67-75.
[20] 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.
WANG D F, MENG L.Performance analysis and parameter selection of PSO algorithms[J]. Acta automatica sinica, 2016, 42(10): 1552-1561.
[21] 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.