
1. 华北电力大学 能源动力与机械工程学院,北京,102206
2. 国网智能电网研究院有限公司 先进输电技术国家重点实验室,北京,102209
Published Online:15 March 2025,
Published:2025
移动端阅览
宋洁,宗正,梁丹曦,徐桂芝,俎焱敏,梁立晓,李根蒂,郜捷,徐超. PEM电解制氢系统压力抗干扰控制策略研究动力工程学报, 2025, 45(3): 431-442 https://doi.
org/10.19805/j.cnki.jcspe.2025.230684
宋洁,宗正,梁丹曦,徐桂芝,俎焱敏,梁立晓,李根蒂,郜捷,徐超. PEM电解制氢系统压力抗干扰控制策略研究动力工程学报, 2025, 45(3): 431-442 https://doi. DOI: 10.19805/j.cnki.jcspe.2025.230684.
org/10.19805/j.cnki.jcspe.2025.230684 DOI:
质子交换膜(PEM)电解制氢技术作为一种高效、环保的高纯度氢气制备方法
其压力控制对系统效率、寿命和安全至关重要。为提高系统的抗干扰性能
对电解制氢系统的压力控制进行了研究。首先
建立了压力动态模型并通过实验进行验证。随后
采用了比例-积分-微分(PID)、回路整形、前置滤波、超前-滞后等策略设计了氢氧压力控制器。最后
通过对控制器进行仿真分析
以确定具有良好稳定性和动态响应的最优参数配置。结果表明:经过优化的控制策略能够使系统在波动功率下仍有效地维持氢氧压力稳定
实现系统的高效稳定运行;该控制器具有较强的抗干扰能力
并且可以精确控制氢氧压力。
Proton exchange membrane (PEM) hydrogen production by electrolysis technology is an efficient and environmentally friendly method for high-purity hydrogen production
and its pressure control in this process is important for the system efficiency
life and safety. The pressure control of hydrogen production by electrolysis system was studied to enhance the anti-disturbance performance of the system. Firstly
a dynamic pressure model was established and verified by experiments. Then
various control strategies
including proportional-integral-differential (PID)
loop shaping
pre-filtering
and lead-lag compensation
were utilized to design hydrogen-oxygen pressure controllers. Finally
a simulation analysis of the controllers was conducted to determine the optimal parameter configuration with good stability and dynamic response. Results show that
the optimized control strategy enables the system to stably maintain hydrogen-oxygen pressure under fluctuating power
achieving efficient and stable operation of the system. The controller shows strong anti-disturbance ability and can accurately control the hydrogen-oxygen pressure.
陆王琳, 陆启亮, 张志洪. 碳中和背景下综合智慧能源发展趋势[J]. 动力工程学报, 2022, 42(1): 10-18. LU Wanglin, LU Qiliang, ZHANG Zhihong. An overview of the integrated energy systems' development under the background of carbon neutralization[J]. Journal of Chinese Society of Power Engineering, 2022, 42(1): 10-18.
刘传亮, 郭万贵, 孔心璇, 等. 西北地区宽功率光伏离网制氢技术进展与发展前景[J]. 动力工程学报, 2022, 42(8): 762-768. LIU Chuanliang, GUO Wangui, KONG Xinxuan, et al. Progress and development prospects of wide-power photovoltaic off-grid hydrogen production technology in northwest China[J]. Journal of Chinese Society of Power Engineering, 2022, 42(8): 762-768.
徐桂芝, 梁丹曦, 宋洁, 等. 风-光-氢-储综合能源系统日前经济调度[J]. 现代电力, 2023, 40(6): 939-946. XU Guizhi, LIANG Danxi, SONG Jie, et al. Day-ahead economic dispatch of wind-photovoltaic-HESS-BESS integrated energy system[J]. Modern Electric Power, 2023, 40(6): 939-946.
王激华, 叶夏明, 秦如意, 等. 基于指数型下垂控制的氢电混合储能微网协调控制策略研究[J]. 中国电力, 2023, 56(7): 43-53. WANG Jihua, YE Xiaming, QIN Ruyi, et al. Research on coordinated control strategy of hydrogen-electric hybrid energy storage microgrid based on exponential-function-based droop control[J]. Electric Power, 2023, 56(7): 43-53.
张俊, 于海东, 张学洪, 等. 发电厂中压水电解制氢装置液位控制系统改进[J]. 内蒙古电力技术, 2012, 30(5): 79-82. ZHANG Jun, YU Haidong, ZHANG Xuehong, et al. Improvement for fluid level control system of medium pressure water electrolysis fabrication hydrogen units in power plant[J]. Inner Mongolia Electric Power, 2012, 30(5): 79-82.
董淑玲, 祁风华. 中压水电解制氢装置的液位控制[J]. 水利电力机械, 2001, 23(6): 19-21. DONG Shuling, QI Fenghua. Fluid level control of medium pressure water electrolysis fabrication hydrogen unit[J]. Water Conservancy & Electric Power Machinery, 2001, 23(6): 19-21.
祁风华, 胡桂平, 孙玉霞. 中压水电解制氢装置的液位控制[J]. 湖南电力, 2002, 22(2): 49-50, 54. QI Fenghua, HU Guiping, SUN Yuxia. The control of liquid level in hydrogen producing devices of middle pressure with electrolysis[J]. Hunan Electric Power, 2002, 22(2): 49-50, 54.
曹威, 石祥建, 蔡丹, 等. 模糊内模控制在电解水制氢温度控制中的应用[J]. 南方能源建设, 2023, 10(3): 120-127. CAO Wei, SHI Xiangjian, CAI Dan, et al. Application of fuzzy internal model control in temperature control in hydrogen production by water electrolysis[J]. Southern Energy Construction, 2023, 10(3): 120-127.
郑之杰, 黄静思, 黄元生. 基于模型预测控制的水电制氢系统优化调度研究[J]. 电力科学与工程, 2022, 38(7): 25-33. ZHENG Zhijie, HUANG Jingsi, HUANG Yuansheng. Optimal scheduling of hydro-electricity hydrogen production system based on model predictive control[J]. Electric Power Science and Engineering, 2022, 38(7): 25-33.
QI Ruomei, GAO Xiaoping, LIN Jin, et al. Pressure control strategy to extend the loading range of an alkaline electrolysis system[J]. International Journal of Hydrogen Energy, 2021, 46(73): 35997-36011.
张殿朝, 许德洪, 张志强, 等. 水电解制氢设备控制系统升级实例分析[J]. 天津科技, 2016, 43(8): 59-61. ZHANG Dianchao, XU Dehong, ZHANG Zhiqiang, et al. A case study of control system upgrade for water electrolysis hydrogen production equipment[J]. Tianjin Science & Technology, 2016, 43(8): 59-61.
宋凯, 许卫, 夏长亮, 等. 水电解制氢AEM自动控制系统设计[J]. 电气传动, 2007, 37(6): 48-51. SONG Kai, XU Wei, XIA Changliang, et al. AEM control system for hydrogen equipment[J]. Electric Drive, 2007, 37(6): 48-51.
KOPONEN J, KOSONEN A, RUUSKANEN V, et al. Control and energy efficiency of PEM water electrolyzers in renewable energy systems[J]. International Journal of Hydrogen Energy, 2017, 42(50): 29648-29660.
CLARKE R E, GIDDEY S, BADWAL S P S. Stand-alone PEM water electrolysis system for fail safe operation with a renewable energy source[J]. International Journal of Hydrogen Energy, 2010, 35(3): 928-935.
SHAPIRO D, DUFFY J, KIMBLE M, et al. Solar-powered regenerative PEM electrolyzer/fuel cell system[J]. Solar Energy, 2005, 79(5): 544-550.
ZHANG Chang, WANG Jinyi, REN Zhibo, et al. Wind-powered 250 kW electrolyzer for dynamic hydrogen production: a pilot study[J]. International Journal of Hydrogen Energy, 2021, 46(70): 34550-34564.
SELAMET F, ACAR M C, MAT M D, et al. Effects of operating parameters on the performance of a high-pressure proton exchange membrane electrolyzer[J]. International Journal of Energy Research, 2013, 37(5): 457-467.
BRIGUGLIO N, BRUNACCINI G, SIRACUSANO S, et al. Design and testing of a compact PEM electrolyzer system[J]. International Journal of Hydrogen Energy, 2013, 38(26): 11519-11529.
KEOW A L J, CHEN Zheng. Auto-tuning control of proton exchange membrane water electrolyzer with self-assessment and gain scheduling[J]. Journal of Dynamic Systems, Measurement, and Control, 2021, 143(5): 051009.
常九健, 王晓林, 方建平, 等. 质子交换膜燃料电池阴阳极压力控制策略研究[J]. 汽车工程, 2021, 43(10): 1466-1471. CHANG Jiujian, WANG Xiaolin, FANG Jianping, et al. Study on control strategy for anode and cathode pressures in proton exchange membrane fuel cell[J]. Automotive Engineering, 2021, 43(10): 1466-1471.
李建林, 梁忠豪, 李光辉, 等. 质子交换膜电解槽控制策略研究[J]. 电工技术学报, 2023, 38(17): 4787-4799. LI Jianlin, LIANG Zhonghao, LI Guanghui, et al. Research on control strategy of proton exchange membrane electrolyzer[J]. Transactions of China Electrotechnical Society, 2023, 38(17): 4787-4799.
刘康祥, 周家辉, 徐钢, 等. 面向高比例可再生能源消纳的光储氢醇一体化系统规划与调度[J]. 动力工程学报, 2023, 43(11): 1477-1486. LIU Kangxiang, ZHOU Jiahui, XU Gang, et al. Planning and scheduling of integrated system of light hydrogen storage and methanol for high proportion of renewable energy consumption[J]. Journal of Chinese Society of Power Engineering, 2023, 43(11): 1477-1486.
宋洁,郜捷,梁丹曦,等.质子交换膜电解制氢系统建模研究综述[J].电力建设,2024,45(2):58-78. SONG Jie, GAO Jie, LIANG Danxi, et al. A review on modeling of hydrogen production system with proton exchange membrane electrolysis[J]. Electric Power Construction, 2024, 45(2): 58-78.
PUKRUSHPAN J T. Modeling and control of PEM fuel cell systems and fuel processors[D]. Michigan, USA: University of Michigan, 2003.
DA FONSECA R, BIDEAUX E, GERARD M, et al. Control of PEMFC system air group using differential flatness approach: validation by a dynamic fuel cell system model[J]. Applied Energy, 2014, 113: 219-229.
KELLER R, RAULS E, HEHEMANN M, et al. An adaptive model-based feedforward temperature control of a 100 kW PEM electrolyzer[J]. Control Engineering Practice, 2022, 120: 104992.
王鹤. 加氢装置冷高压分离器设计压力选取[J]. 石油化工设备技术, 2023, 44(6): 13-17. WANG He. Selection of design pressure for coldhigh pressure separators in hydrogenation units[J]. Petro-chemical Equipment Technology, 2023, 44(6): 13-17.
SKOGESTAD S. Simple analytic rules for model reduction and PID controller tuning[J]. Journal of Process Control, 2003, 13(4): 291-309.
FULLER S, GREINER B, MOORE J, et al. The python control systems library (python-control)[C]//2021 60th IEEE Conference on Decision and Control (CDC). Austin, USA: IEEE, 2021: 4875-4881.
0
Views
103
下载量
0
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621