RESEARCH ON COORDINATED OPERATION STRATEGY OF WIND-SOLAR HYDROGEN PRODUCTION AND STORAGE BASED ON ADAPTIVE CONTROL

Gao Chao; Yao Xiuping; Liu Rixin; Sun Hao; Yang Meng

doi:10.19912/j.0254-0096.tynxb.2022-0489

PDF(1871 KB)

Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (8) : 102-109. DOI: 10.19912/j.0254-0096.tynxb.2022-0489

RESEARCH ON COORDINATED OPERATION STRATEGY OF WIND-SOLAR HYDROGEN PRODUCTION AND STORAGE BASED ON ADAPTIVE CONTROL

Gao Chao^1~3, Yao Xiuping^1~3, Liu Rixin^1,3, Sun Hao^1~3, Yang Meng^1~3

Author information +

History +

Abstract

In view of the characteristics of large-scale, complex structured, multi-energy and multi-time coupling of the clean energy hydrogen production system, this paper fully considers the power fluctuation caused by the randomness and intermittency of renewable energy, such as PV and wind power, etc., as well as the system response time difference problem caused by the dynamic response feature of electrolyzer and energy storage. An integrated system of hydrogen production from renewable energy with storage is proposed. Combined with the economic operation means of green electricity and hydrogen, an economic and safe operation mode suitable for hydrogen production from wind and solar power with storage is formed using the adaptive control algorithm. The simulation results show that the integrated hydrogen production and storage system can operate safely and has a relatively good operation effect in this mode.

Key words

wind power / photovoltaic / energy storage / hydrogen production / hydrogen storage

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Gao Chao, Yao Xiuping, Liu Rixin, Sun Hao, Yang Meng. RESEARCH ON COORDINATED OPERATION STRATEGY OF WIND-SOLAR HYDROGEN PRODUCTION AND STORAGE BASED ON ADAPTIVE CONTROL[J]. Acta Energiae Solaris Sinica. 2023, 44(8): 102-109 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0489

References

[1] 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.
LU J, YU L J, ZHENG P, et al.Research on advanced control strategy of wind hydrogen coupling system[J].Acta energiae solaris sinica, 2022, 43(3): 53-60.
[2] 马榕谷, 陈洁, 赵军超, 等. 非并网风氢互补系统的容量多目标优化[J]. 太阳能学报, 2019, 40(2): 422-429.
MA R G, CHEN J, ZHAO J C, et al.Multi-objective optimization for capacity of non-grid-connected wind/hydrogen hybrid power system[J]. Acta energiae solaris sinica, 2019, 40(2): 422-429.
[3] 段青熙, 袁铁江, 梅生伟, 等. 风电-氢储能与煤化工多能耦合系统能量协调控制策略[J]. 高电压技术, 2018, 44(1): 176-186.
DUAN Q X, YUAN T J, MEI S W, et al.Energy coordination control of wind power-hydrogen energy storage and coal chemical multi-functional coupling system[J]. High voltage engineering, 2018, 44(1): 176-186.
[4] RECALDE M D F, CHANG L R. Synergistic control between hydrogen storage system and offshore wind farm for grid operation[J]. IEEE transactions on sustainable energy, 2014, 5(1): 18-27.
[5] ZHOU T, FRANCOIS B.Modeling and control design of hydrogen production process for an active hydrogen/wind hybrid power system[J]. International journal of hydrogen energy, 2009, 34(1): 21-30.
[6] 李咸善, 杨宇翔. 基于双向电价补偿的含氢储能风电和梯级水电联合优化调度[J]. 电网技术, 2020, 44(9): 3297-3306.
LI X S, YANG Y X.Optimization dispatching for joint operation of hydrogen storage-wind power and cascade hy-dropower station based on bidirectional electricity price compensation[J]. Power system technology, 2020, 44(9): 3297-3306.
[7] ABDELWAHAB M, ALI D, HOGG D, et al.Modelling the performance of wind-hydrogen energy systems: case study the hydrogen office in Scotland/UK[J]. Renewable & sustainable energy reviews, 2016, 53: 1313-1332.
[8] KIM M, KIM J.An integrated decision support model for design and operation of a wind-based hydrogen supply system[J]. International journal of hydrogen energy, 2017, 42(7): 3899-3915.
[9] 邵志芳, 吴继兰. 基于动态电价风光电制氢容量配置优化[J]. 太阳能学报, 2020, 41(8): 227-235.
SHAO Z F, WU J L.Capacity configuration optimization of hydrogen production from wind and PV power based on dynamic electricity price[J]. Acta energiae solaris sinica, 2020, 41(8): 227-235.
[10] 于家敏. 基于模型预测控制的风光氢耦合系统功率调控策略研究[D]. 吉林: 东北电力大学, 2021.
YU J M.Study on power regulation strategy of wind photovoltaic and hydrogrn coupling system based on model predictive control[D]. Jilin: Northeast Electric Power University, 2021.
[11] 李世春, 唐红艳, 刘道兵, 等. 含风电虚拟惯性响应的电力系统等效惯性时间常数计算[J]. 可再生能源, 2018, 36(10): 1486-1491.
LI S C, TANG H Y, LIU D B, et al.Calculation of equivalent inertia time constant of power system with virtual inertial response of wind power[J]. Renewable energy resources, 2018, 36(10): 1486-1491.