网络出版:2025-07-07,
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胡亚峰, 赵希, 杨文龙, 等. 基于自适应状态切换的混合电解槽阵列滚动优化策略[J]. 太阳能学报, 2025,46(6):99-109.
胡亚峰, 赵希, 杨文龙, et al. 基于自适应状态切换的混合电解槽阵列滚动优化策略[J]. 2025, 46(6): 99-109.
胡亚峰, 赵希, 杨文龙, 等. 基于自适应状态切换的混合电解槽阵列滚动优化策略[J]. 太阳能学报, 2025,46(6):99-109. DOI: doi:10.19912/j.0254-0096.tynxb.2024-1429.
胡亚峰, 赵希, 杨文龙, et al. 基于自适应状态切换的混合电解槽阵列滚动优化策略[J]. 2025, 46(6): 99-109. DOI: doi:10.19912/j.0254-0096.tynxb.2024-1429.
为提高水电解制氢系统与风电的适配性
针对碱性电解槽与质子交换膜电解槽构成的混合制氢系统功率分配问题
提出一种基于自适应状态切换的混合电解槽阵列滚动优化策略。在简单启停策略和常规滚动优化策略下对比混合系统和单一系统的性能
混合系统的效率分别提升2.81和5.92个百分点。此外
还将3种不同的策略应用于混合制氢系统进行比较分析
结果显示所提策略使电解槽间负荷更加均衡
系统效率比简单启停策略提升4.57个百分点
日产氢量增加0.354 t
提升16.40%
电解槽平均利用率提高18.82个百分点
风能利用率提升13.71个百分点。
To enhance the compatibility between hydrogen production systems and wind power
a rolling optimization strategy for a hybrid electrolyzers array
based on adaptive state switching
is proposed to address the power distribution challenges in hybrid hydrogen production systems comprising alkaline electrolyzers and proton exchange membrane electrolyzers. The performance of the hybrid system is compared to that of a single electrolyzers system under a basic start-stop strategy and a conventional rolling optimization approach. The results indicate that the efficiency of the hybrid system improved by 2.81 and 5.92 percentage point
respectively. Furthermore
three distinct strategies are applied to the hybrid hydrogen production system for comparative analysis. The findings reveal that the newly proposed hybrid electrolyzers array rolling optimization strategy
based on adaptive state switching
achieves a more balanced load distribution among electrolyzers
leading to a 4.57 percentage point increase in system efficiency compared to the simple start-stop strategy. Additionally
daily hydrogen production increases by 0.354 tons (16.40%). The average electrolyzer utilization rate is improved by 18.82 percentage point
while wind energy utilization rate is increased by 13.71 percentage point.
周玮, 彭昱, 孙辉, 等. 含风电场的电力系统动态经济调度[J]. 中国电机工程学报, 2009, 29(25): 13-18.
赵靖英, 门孝伟, 姚帅亮. 基于风电机组聚类的风电场有功分层分配策略[J]. 太阳能学报, 2023, 44(12): 306-315.
ZHENG Y, HUANG C J, TAN J, et al.Off-grid wind/hydrogen systems with multi-electrolyzers: optimized operational strategies[J]. Energy conversion and management, 2023, 295: 117622.
林涛, 赵丹阳, 严寒. 风电消纳下多型号制氢机组阵列优化调度研究[J]. 太阳能学报, 2022, 43(11): 466-473.
卢捷, 于立军, 郑培, 等. 风氢耦合系统超前控制策略研究[J]. 太阳能学报, 2022, 43(3): 53-60.
胡可崴, 李浩, 王创, 等. 电解水制氢的多物理场建模与监控技术综述[J]. 电力自动化设备, 2023, 43(12): 3-13.
KHALIGH V, GHEZELBASH A, ZAREI M, et al.Efficient integration of alkaline water electrolyzer: a model predictive control approach for a sustainable low-carbon district heating system[J]. Energy conversion and management, 2023, 292: 117404.
FANG R M, LIANG Y.Control strategy of electrolyzer in a wind-hydrogen system considering the constraints of switching times[J]. International journal of hydrogen energy, 2019, 44(46): 25104-25111.
CHENG H R, XIA Y H, WEI W, et al.Safety and efficiency problems of hydrogen production from alkaline water electrolyzers driven by renewable energy sources[J]. International journal of hydrogen energy, 2024, 54: 700-712.
FALCÃO D S, PINTO A M F R. A review on PEM electrolyzer modelling: guidelines for beginners[J]. Journal of cleaner production, 2020, 261: 121184.
HERNÁNDEZ-GÓMEZ Á, RAMIREZ V, GUILBERT D. Investigation of PEM electrolyzer modeling: electrical domain, efficiency, and specific energy consumption[J]. International journal of hydrogen energy, 2020, 45(29): 14625-14639.
LU X Y, DU B H, ZHOU S P, et al.Optimization of power allocation for wind-hydrogen system multi-stack PEM water electrolyzer considering degradation conditions[J]. International journal of hydrogen energy, 2023, 48(15): 5850-5872.
闫旭鹏, 卢启辰, 任志博, 等. 水电解制氢用商业化阴离子交换膜发展现状[J]. 储能科学与技术, 2023, 12(9): 2811-2822.
张文强, 于波. 高温固体氧化物电解制氢技术发展现状与展望[J]. 电化学, 2020, 26(2): 212-229.
LIU X Y, ZOU J, LONG R, et al.Variable period sequence control strategy for an off-grid photovoltaic-PEM electrolyzer hydrogen generation system[J]. Renewable energy, 2023, 216: 119074.
HONG Z P, WEI Z X, HAN X J.Optimization scheduling control strategy of wind-hydrogen system considering hydrogen production efficiency[J]. Journal of energy storage, 2022, 47: 103609.
蔡国伟, 陈冲, 孔令国, 等. 风电/制氢/燃料电池/超级电容器混合系统控制策略[J]. 电工技术学报, 2017, 32(17): 84-94.
SHIVA KUMAR S, HIMABINDU V.Hydrogen production by PEM water electrolysis: a review[J]. Materials science for energy technologies, 2019, 2(3): 442-454.
IBÁÑEZ-RIOJA A, JÄRVINEN L, PURANEN P, et al. Off-grid solar PV-wind power-battery-water electrolyzer plant: simultaneous optimization of component capacities and system control[J]. Applied energy, 2023, 345: 121277.
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.
ABDIN Z, WEBB C J, GRAY E M.Modelling and simulation of a proton exchange membrane(PEM) electrolyser cell[J]. International journal of hydrogen energy, 2015, 40(39): 13243-13257.
MAJUMDAR A, HAAS M, ELLIOT I, et al.Control and control-oriented modeling of PEM water electrolyzers: a review[J]. International journal of hydrogen energy, 2023, 48(79): 30621-30641.
YODWONG B, GUILBERT D, PHATTANASAK M, et al.Faraday's efficiency modeling of a proton exchange membrane electrolyzer based on experimental data[J]. Energies, 2020, 13(18): 4792.
SÁNCHEZ M, AMORES E, RODRÍGUEZ L, et al. Semi-empirical model and experimental validation for the performance evaluation of a 15 kW alkaline water electrolyzer[J]. International journal of hydrogen energy, 2018, 43(45): 20332-20345.
程浩然, 夏杨红, 何杭航, 等. 适用于可再生能源制氢的大容量碱液电解槽建模研究[J]. 太阳能学报, 2024, 45(2): 291-299.
ULLEBERG Ø.Modeling of advanced alkaline electrolyzers: a system simulation approach[J]. International journal of hydrogen energy, 2003, 28(1): 21-33.
LI Y Y, DENG X T, ZHANG T, et al.Exploration of the configuration and operation rule of the multi-electrolyzers hybrid system of large-scale alkaline water hydrogen production system[J]. Applied energy, 2023, 331: 120413.
李建林, 梁忠豪, 赵文鼎, 等. 混合电解槽制氢系统选型及评估方法[J]. 高电压技术, 2024, 50(6): 2653-2662.
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