风光制氢混合电解槽双层优化调度策略

闫兆乾; 罗蒙蒙; 郝功涛; 郑文广; 王祎璇; 钱坤; 王清; 程永林; 魏雅娟

doi:10.19666/j.rlfd.202504069

English

您当前的位置：

首页 >

文章列表页 >

风光制氢混合电解槽双层优化调度策略

热力发电 2026年55卷第3期页码：119-129

新型发电技术 | 更新时间：2026-08-07

- 风光制氢混合电解槽双层优化调度策略
- 风光制氢混合电解槽双层优化调度策略
- 作者机构：
  
  华电电力科学研究院有限公司
- 作者简介：
- 基金信息：
  
  浙江省博士后科学基金（366924）~~
- DOI：10.19666/j.rlfd.202504069
  中图分类号： TQ116.2;TM61
- 纸质出版：2026
- 稿件说明：
移动端阅览
[1]闫兆乾,罗蒙蒙,郝功涛,等.风光制氢混合电解槽双层优化调度策略[J].热力发电,2026,55(03):119-129.
[1]闫兆乾,罗蒙蒙,郝功涛,等.风光制氢混合电解槽双层优化调度策略[J].热力发电,2026,55(03):119-129. DOI： 10.19666/j.rlfd.202504069.

DOI：10.19666/j.rlfd.202504069.

摘要

风光耦合电解水制储氢技术作为可再生能源与氢能结合的重要路径，在能源转型中展现出巨大潜力。然而，在大规模并网型制氢场站存在功率分配不均的问题以及未充分考虑碱性及质子交换膜电解槽的响应特性差异。基于此，提出风光制氢混合电解槽双层阵列优化调度策略。首先以系统净收益最高为目标，采用多时间尺度优化策略对风光制氢系统进行功率分配；其次考虑碱性及质子交换膜电解槽各机组的制氢效率及动态响应特性差异，对单台碱性-质子交换膜混合电解槽集群阵列进行分配及优化调度。结果表明：基于双层优化策略，并网型风光制储氢系统的新能源上网电量与发电量比例无限接近设定值40%，经过双层策略优化的综合弃电率为1.89%，极大地降低了系统的弃风弃光率，充分应用碱性及质子交换膜电解槽的运行特性，达到对波动性可再生能源的充分利用，提高了制氢系统运行的稳定性及安全性。

Abstract

As an important path for the combination of renewable energy and hydrogen energy

the technology coupling wind solar power with hydrogen production and storage through water electrolysis has shown great potential in energy transformation. However

large-scale grid-connected hydrogen production stations have problems such as uneven power distribution and insufficient consideration of the differences in response characteristics between alkaline and proton exchange membrane(PEM) electrolyzers. Therefore

this paper proposes an optimized scheduling strategy for the double-layer array of wind-solar hydrogen production hybrid electrolyzers. Firstly

with the goal of maximizing the net income of the system

a multi-time-scale optimization strategy is adopted to allocate the power of the wind and solar hydrogen production system. Secondly

considering the differences in hydrogen production efficiency and dynamic response characteristics between the alkaline and the PEM electrolyzers

optimal scheduling is performed for the array of alkaline and PEM hybrid electrolyzers. As a result

based on the two-layer optimization strategy

the ratio of the on-grid electricity generation to the power generation of the grid-connected wind and solar hydrogen production and storage system is infinitely close to the set value of 40%

and the comprehensive power curtailment rate is 1.89%

which greatly reduces the curtailment rate of wind and solar power in the system. The operational characteristics of the alkaline and PEM electrolyzers are fully utilized to achieve the full utilization of fluctuating renewable energy and enhance the stability and safety of the hydrogen production system operation.

关键词

Keywords

references

滕越,赵骞,张红,等.新能源-质子交换膜电解槽电制氢容量双层规划模型研究[J].热力发电, 2021,50(11):37-46.TENG Yue, ZHAO Qian, ZHANG Hong, et al. Study on double-layer planning model for hydrogen production capacity of new energy proton exchange membrane electrolyzer[J]. Thermal Power Generation, 2021, 50(11):37-46.

李琦,韩运滨,白章,等.离网型风光发电联合制氢系统的协调运行策略与容量配置优化[J].中国电机工程学报, 2024, 44(20):8136-8146.LI Qi, HAN Yunbin, BAI Zhang, et al. Coordination operation strategy and capacity optimization of off-grid wind-solar hybrid hydrogen production system[J].Proceedings of the CSEE, 2024, 44(20):8136-8146.

郭富民,徐广强,王小君,等.基于8 760 h生产模拟的离网风光储氢系统规划方法[J].电网技术, 2024,48(5):2227-2235.GUO Fumin, XU Guangqiang, WANG Xiaojun, et al. A planning method for stand-alone wind-solar hydrogen storage system based on 8 760 hours production simulation[J]. Power System Technology, 2024, 48(5):2227-2235.

张虹,孙权,李占军,等.风氢耦合系统协同控制发电策略研究[J].东北电力大学学报, 2018, 38(3):15-23.ZHANG Hong, SUN Quan, LI Zhanjun, et al. Research on synergistic control strategy of wind powercoupled with hydrogen system[J]. Journal of Northeast Electric Power University, 2018, 38(3):15-23.

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.CAI Guowei, CHEN Chong, KONG Lingguo, et al.Control of hybrid system of wind/hydrogen/fuel cell/supercapacitor[J]. Transactions of China Electrotechnical Society, 2017, 32(17):84-94.

李建林,李光辉,梁丹曦,等.“双碳目标”下可再生能源制氢技术综述及前景展望[J].分布式能源, 2021,6(5):1-9.LI Jianlin, LI Guanghui, LIANG Danxi, et al. Review and prospect of hydrogen technology from renewable energy under targets of carbon peak and carbon neutrality[J].Thermal Distributed Energy, 2021, 6(5):1-9.

杨成玉,马军,李广玉,等.大型碱性电解水制氢装备多对一的应用与实践[J].太阳能, 2022(5):103-114.YANG Chengyu, MA Jun, LI Guangyu, et al. Application and practice of many-to-one large-scale alkaline water electrolysis hydrogen production equipment[J]. Solar Energy, 2022(5):103-114.

郝新朝,王健,闫兆乾,等.可再生能源耦合PEM电解水制氢研究进展[J].自动化应用, 2025, 66(7):129-134.HAO Xinchao, WANG Jian, YAN Zhaoqian, et al.Research progress of hydrogen production from water electrolysis with renewable energy coupled PEM[J].Automation Application, 2025, 66(7):129-134.

李卓言,涂宏,丁奕,等.基于碱性水电解槽电化学模型的应用分析[J].南方能源建设, 2025, 12(3):115-123.LI Zhuoyan, TU Hong, DING Yi, et al. Application analysis of electrochemical model based on alkaline water electrolyzer[J]. Southern Energy Construction, 2025,12(3):115-123.

张宝平,赵雄,陈明轩,等.碱性电解水制氢双目标能效模型全局遗传算法求解与应用[J].重庆理工大学学报(自然科学), 2025, 39(3):57-65.ZHANG Baoping, ZHAO Xiong, CHEN Mingxuan, et al.Solution and application of a dual-objective energy efficiency model for alkaline water electrolysis using global genetic search algorithm[J]. Journal of Chongqing University of Technology(Natural Science), 2025, 39(3):57-65.

杨胜,樊艳芳,侯俊杰,等.可再生能源ALK-PEM联合制氢系统多时间尺度优化运行策略[J].电力系统保护与控制, 2025, 53(3):68-80.YANG Sheng, FAN Yanfang, HOU Junjie, et al. Multitime scale optimization strategy of a renewable energy ALK-PEM combined hydrogen production system[J].Power System Protection and Control, 2025, 53(3):68-80.

王泓乾,陈少杰,刘威,等.电解海水制氢电极研究进展[J].洁净煤技术, 2025, 31(3):41-53.WANG Hongqian, CHEN Shaojie, LIU Wei, et al. Recent development on electrodes for seawater electrolysis[J].Clean Coal Technology, 2025, 31(3):41-53.

梁涛,杨文博,谭建鑫,等.计及效率和启停特性的大规模离网风电制氢多电解槽切换调度策略[J].电力自动化设备, 2025, 45(2):78-85.LIANG Tao, YANG Wenbo, TAN Jianxin, et al. Switching scheduling strategy of multi-electrolyzer for large-scale off-grid wind powerhydrogen production considering efficiency and start-stop characteristics[J]. Electric Power Automation Equipment, 2025, 45(2):78-85.

孙东阳,于继轩,阮俊霖,等.基于制氢装置效率特性的风储制氢电厂优化控制策略[J].电力自动化设备,2023, 43(12):53-61.SUN Dongyang, YU Jixuan, RUAN Junlin, et al. Optimal control strategy of wind-energy storage hydrogen production power plant based on efficiency characteristics of hydrogen production device[J]. Electric Power Automation Equipment, 2023, 43(12):53-61.

张文韬,周家辉,张润之,等.计及能耗特性的风光制氢碱性电解槽集群优化策略[J].化工进展, 2024,43(11):6119-6128.ZHANG Wentao, ZHOU Jiahui, ZHANG Runzhi, et al.Optimization strategy of wind and solar hydrogen production alkaline electrolyzer cluster considering energy consumption characteristics[J]. Chemical Industry and Engineering Progress, 2024, 43(11):6119-6128.

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 Yong, PENG Yonggang, WEI Wei. Coordination control for PV, storage and hydrogen system considering hydrogen energy conversion efficiency[J]. Acta Energiae Solaris Sinica, 2021, 42(11):67-75.

田雪沁,冯亚杰,袁铁江,等.考虑电氢负荷柔性的多堆电解槽优化运行[J].电网技术, 2025, 49(1):84-92.TIAN Xueqin, FENG Yajie, YUAN Tiejiang, et al.Optimal operation of multi alkaline electrolyzers considering flexible electrical and hydrogen load[J].Power System Technology, 2025, 49(1):84-92.

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 Meng, HONG Zhenpeng, LI Bei, 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.

梁丹曦,宗正,宋洁,等.计及效率和寿命的多堆电解制氢系统运行优化[J].煤炭学报, 2025, 50(6):3139-3149.LIANG Danxi, ZONG Zheng, SONG Jie, et al. Operation optimization strategy of multi-stack hydrogen production system considering efficiency and lifetime[J]. Journal of China Coal Society, 2025, 50(6):3139-3149.

张文韬,周家辉,李敏杰,等.计及能耗特性的风光制氢碱性质子交换膜混合电解槽多列优化策略[J].电网技术, 2025, 49(1):63-72.ZHANG Wentao, ZHOU Jiahui, LI Minjie, et al.Optimization strategy of wind and solar hydrogen production alkaline-PEM hybrid electrolyzers cluster considering energy consumption characteristics[J]. Power System Technology, 2025, 49(1):63-72.

ULLEBERGØ. Modeling of advanced alkaline electrolyzers:a system simulation approach[J]. International Journal of Hydrogen Energy, 2003, 28:21-33.

梁涛,刘子聪,谭建鑫,等.兆瓦级碱性电解槽多变量数字孪生仿真系统构建[J].太阳能学报, 2024, 45(12):545-554.LIANG Tao, LIU Zicong, TAN Jianxin, et al. Construction of multivariate digital twin simulation system for megawattscale alkaline electrolyzer[J]. Acta Energiae Solaris Sinica, 2024, 45(12):545-554.

阮景昕,王跃社,张俊峰,等.基于氢储能的风光氢能源系统能质转换优化策略[J].工程热物理学报, 2023,44(2):413-421.RUAN Jingxin, WANG Yueshe, ZHANG Junfeng, et al.Energy-mass conersion optimization strategy of windsolar-hydrogen energy system based on hydrogen energy storage[J]. Journal of Engineering Thermophysics, 2023,44(2):413-421.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

关联资源

基于MILP和NSGA-Ⅱ的多类型储能协同调度优化

质子交换膜燃料电池系统运行特性

300MW机组循环流化床锅炉外置床运行特性试验

1000MW机组凝结水系统低负荷运行特性分析及综合优化

计及弃风能量的风电场调频功率分配策略