基于自适应控制的风光制储氢协调运行策略研究

高超, 姚秀萍, 刘日新, 孙浩, 杨萌

太阳能学报 ›› 2023, Vol. 44 ›› Issue (8) : 102-109.

PDF(1871 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(1871 KB)
太阳能学报 ›› 2023, Vol. 44 ›› Issue (8) : 102-109. DOI: 10.19912/j.0254-0096.tynxb.2022-0489

基于自适应控制的风光制储氢协调运行策略研究

  • 高超1~3, 姚秀萍1~3, 刘日新1,3, 孙浩1~3, 杨萌1~3
作者信息 +

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

  • Gao Chao1~3, Yao Xiuping1~3, Liu Rixin1,3, Sun Hao1~3, Yang Meng1~3
Author information +
文章历史 +

摘要

针对清洁能源制氢系统规模大、结构复杂及多能源多时间耦合的特点,充分考虑光伏、风电等可再生能源随机性和间歇性所导致的功率波动问题,以及电解槽和储能动态响应特性所导致的系统各环节响应时间差异问题,设计一套风光制储氢综合系统。结合绿电-绿氢经济运行手段,利用自适应控制算法,形成适用于“风光制储氢”的经济安全运行模式,通过仿真分析可知,该模式下风光制储氢综合系统可以安全运行,并具备较为良好的运行效果。

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.

关键词

风电 / 光伏 / 储能 / 制氢 / 储氢

Key words

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

引用本文

导出引用
高超, 姚秀萍, 刘日新, 孙浩, 杨萌. 基于自适应控制的风光制储氢协调运行策略研究[J]. 太阳能学报. 2023, 44(8): 102-109 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0489
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
中图分类号: TM73   

参考文献

[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.

基金

新疆维吾尔自治区重大科技专项(2022A01001-2)

PDF(1871 KB)

Accesses

Citation

Detail

段落导航
相关文章

/