新能源制氢系统电解槽阵列的优化轮值策略

朱一昕; 刘宇凡; 王子瑶; 吴昊; 惠学达

doi:10.19912/j.0254-0096.tynxb.2024-0423

PDF(2278 KB)

太阳能学报 ›› 2025, Vol. 46 ›› Issue (7) : 530-540. DOI: 10.19912/j.0254-0096.tynxb.2024-0423

第二十七届中国科协年会学术论文

新能源制氢系统电解槽阵列的优化轮值策略

朱一昕, 刘宇凡, 王子瑶, 吴昊, 惠学达

作者信息 +

OPTIMIZED ROTATION STRATEGY OF ELECTROLYZER ARRAYS IN RENEWABLE ENERGY HYDROGEN PRODUCTION SYSTEM

Zhu Yixin, Liu Yufan, Wang Ziyao, Wu Hao, Hui Xueda

Author information +

文章历史 +

摘要

为延长电解槽运行寿命,该文对新能源制氢系统中的电解槽阵列开展控制策略研究。首先,对制氢电解槽进行负荷特性建模,得到电相关特性;其次,对传统阵列轮值策略进行分析,并总结出传统策略的不足,分析改进方法;然后,针对规模化新能源制氢系统,提出一种基于双层控制架构的电解槽阵列优化轮值策略。最后,仿真结果表明所提策略可有效平衡负荷运行状态,以延长电解槽使用寿命。

Abstract

In order to prolong the service life of electrolyzers, the control strategy of electrolyzer array in new energy hydrogen production system is studied in this paper. Firstly, the load characteristics of hydrogen production electrolyzers are modeled and the electrical related characteristics are obtained. Secondly, the traditional array rotation strategy is analyzed, and the shortcomings of the traditional strategy are summarized, and the improvement methods are analyzed. Then, aiming at the large-scale new energy hydrogen production system, an optimized rotation strategy of electrolyzer array based on double-layer control architecture is proposed. Finally, the simulation results show that the proposed strategy can effectively balance the load operation state and prolong the service life of the electrolyzer.

导出引用

朱一昕, 刘宇凡, 王子瑶, 吴昊, 惠学达. 新能源制氢系统电解槽阵列的优化轮值策略[J]. 太阳能学报. 2025, 46(7): 530-540 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0423

Zhu Yixin, Liu Yufan, Wang Ziyao, Wu Hao, Hui Xueda. OPTIMIZED ROTATION STRATEGY OF ELECTROLYZER ARRAYS IN RENEWABLE ENERGY HYDROGEN PRODUCTION SYSTEM[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 530-540 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0423

中图分类号： TM92

参考文献

[1] 孙鹤旭, 李争, 陈爱兵, 等. 风电制氢技术现状及发展趋势[J]. 电工技术学报, 2019, 34(19): 4071-4083.
SUN H X, LI Z, CHEN A B, et al.Current status and development trend of hydrogen production technology by wind power[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 4071-4083.
[2] 张诚, 檀志恒, 晁怀颇. “双碳” 背景下数据中心氢能应用的可行性研究[J]. 太阳能学报, 2022, 43(6): 327-334.
ZHANG C, TAN Z H, CHAO H P.Feasibility study of hydrogen energy application on data center under “carbon peaking and neutralization” background[J]. Acta energiae solaris sinica, 2022, 43(6): 327-334.
[3] HE W, ABBAS Q, ALHARTHI M, et al.Integration of renewable hydrogen in light-duty vehicle: Nexus between energy security and low carbon emission resources[J]. International journal of hydrogen energy, 2020, 45(51): 27958-27968.
[4] 李争, 张蕊, 孙鹤旭, 等. 可再生能源多能互补制-储-运氢关键技术综述[J]. 电工技术学报, 2021, 36(3): 446-462.
LI Z, ZHANG R, SUN H X, et al.Review on key technologies of hydrogen generation, storage and transportation based on multi-energy complementary renewable energy[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 446-462.
[5] 曹蕃, 郭婷婷, 陈坤洋, 等. 风电耦合制氢技术进展与发展前景[J]. 中国电机工程学报, 2021, 41(6): 2187-2201.
CAO F, GUO T T, CHEN K Y, et al.Progress and development prospect of coupled wind and hydrogen systems[J]. Proceedings of the CSEE, 2021, 41(6): 2187-2201.
[6] 康克佳. 储能产业快速发展产业生态初步形成[N].中国城市报,2023-11-20(A09).
KANG K J. Rapid development of energy storage industry and initial formation of industrial ecology[N]. China city, 2023-11-20(A09).
[7] 王利猛, 王诗清, 石永富, 等. 计及储能装置平抑风光功率波动的微电网优化运行[J]. 太阳能学报, 2015, 36(1): 227-235.
WANG L M, WANG S Q, SHI Y F, et al.Optimal operation of micro-grid considering energy storage system smoothing wind turbine and photovoltaic power fluctuations[J]. Acta energiae solaris sinica, 2015, 36(1): 227-235.
[8] 牛萌, 洪振鹏, 李蓓, 等. 考虑制氢效率提升的风电制氢系统优化控制策略[J]. 太阳能学报, 2023, 44(9): 366-376.
NIU M, HONG Z P, LI B, et al.Optimal control strategy of wind power to hydrogen system considering electrolyzer efficiency improvement[J]. Acta energiae solaris sinica, 2023, 44(9): 366-376.
[9] 冯雷, 鲁家彤, 徐洪涛, 等. 不同地区太阳能光伏电解水制氢与储氢系统模拟研究[J]. 太阳能学报, 2023, 44(12): 481-486.
FENG L, LU J T, XU H T, et al.Simulation study of hydrogen production and storage system by solar photovoltaic electrolysis water in different regions[J]. Acta energiae solaris sinica, 2023, 44(12): 481-486.
[10] 沈小军, 聂聪颖, 吕洪. 计及电热特性的离网型风电制氢碱性电解槽阵列优化控制策略[J]. 电工技术学报, 2021, 36(3): 463-472.
SHEN X J, NIE C Y, LYU H.Coordination control strategy of wind power-hydrogen alkaline electrolyzer bank considering electrothermal characteristics[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 463-472.
[11] 江悦, 沈小军, 吕洪, 等. 碱性电解槽运行特性数字孪生模型构建及仿真[J]. 电工技术学报, 2022, 37(11): 2897-2908.
JIANG Y, SHEN X J, LYU H, et al.Construction and simulation of operation digital twin model for alkaline water electrolyzer[J]. Transactions of China Electrotechnical Society, 2022, 37(11): 2897-2908.
[12] ABE J O, POPOOLA A P I, AJENIFUJA E, et al. Hydrogen energy, economy and storage: review and recommendation[J]. International journal of hydrogen energy, 2019, 44(29): 15072-15086.
[13] 陈梦萍, 任建兴, 李芳芹. 风光互补与电解水制氢系统负荷的协调稳定运行[J]. 太阳能学报, 2023, 44(3): 344-350.
CHEN M P, REN J X, LI F Q.Coordinated and stable operation of wind solar complementarity and load of electrolytic water hydrogen production system[J]. Acta energiae solaris sinica, 2023, 44(3): 344-350.
[14] ANTUNES CAMPOS R, RAFAEL DO NASCIMENTO L, RÜTHER R. The complementary nature between wind and photovoltaic generation in Brazil and the role of energy storage in utility-scale hybrid power plants[J]. Energy conversion and management, 2020, 221: 113160.
[15] 邸俊杰, 沈轶, 贾明祥, 等. 风氢耦合发电系统建模与分析[J]. 热力发电, 2022, 51(11): 65-73.
DI J J, SHEN Y, JIA M X, et al.Modeling and analysis of wind-hydrogen coupled power generation system[J]. Thermal power generation, 2022, 51(11): 65-73.
[16] 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.
[17] 万志. 新能源制氢系统运行控制策略研究[D]. 大连: 大连理工大学, 2021.
WAN Z.Research on operation control strategy of new energy hydrogen production system[D]. Dalian: Dalian University of Technology, 2021.
[18] 张丽平. 分布式风氢混合能源系统建模及功率分配策略研究[D]. 石家庄: 河北科技大学, 2020.
ZHANG L P.Research on modeling and power allocation strategy of distributed wind-hydrogen hybrid energy system[D]. Shijiazhuang: Hebei University of Science and Technology, 2020.
[19] 唐司航. 基于风电功率最值预测的电解槽阵列轮换控制策略研究[D]. 石家庄: 河北科技大学, 2022.
TANG S H.Research on control strategy of alkaline electrolyzer array with rotation mode based on best value forecast for wind power[D]. Shijiazhuang: Hebei University of Science and Technology, 2022.
[20] 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.