Optimal Configuration and Cooperative Operation Characteristic Analysis of Electricity-Hydrogen Hybrid Energy Storage in Microgrids

JIANG Shihan, JIANG Fei, CAI Zhuoliang, OUYANG Wei, JIANG Feng

Electric Power Construction ›› 2026, Vol. 47 ›› Issue (10) : 122-135.

PDF(1678 KB)
PDF(1678 KB)
Electric Power Construction ›› 2026, Vol. 47 ›› Issue (10) : 122-135. DOI: 10.12204/j.issn.1000-7229.2026.10.010
Renewable Energy and Energy Storage

Optimal Configuration and Cooperative Operation Characteristic Analysis of Electricity-Hydrogen Hybrid Energy Storage in Microgrids

Author information +
History +

Abstract

[Objective] Under the background of the “dual-carbon” goals and the development of new-type power systems, isolated microgrids with high renewable energy penetration face the coexistence of long-term source-load mismatch, short-term power fluctuations, and low-inertia operation risks. To address these issues, the optimal configuration and coordinated operation characteristics of electro-hydrogen hybrid energy storage in microgrids are studied. [Methods] Taking the capacity and power rating of electrochemical energy storage, as well as the capacities of the electrolyzer, hydrogen storage tank, and hydrogen fuel cell as optimization variables, a configuration model with the minimum comprehensive annualized cost as the objective is established. The model considers power balance, equipment operating limits, state continuity, and rate of change of frequency (RoCoF) constraints. An N-1 type extreme disturbance scenario with an instantaneous loss of 20% renewable energy output is adopted to verify the equivalent inertia support capability of the system. On this basis, a sensitivity analysis of hydrogen energy penetration is carried out, and the discrete Fourier transform (DFT) and Parseval’s theorem are used to calculate the frequency-domain energy proportions of energy storage power sequences in intra-day, intra-week, and cross-week-to-seasonal fluctuation intervals. [Results] A case study of an isolated microgrid in Northwest China shows that the comprehensive annualized cost of the electro-hydrogen hybrid energy storage scheme is reduced by 83.38% compared with the pure electrochemical energy storage scheme. Under the extreme disturbance, the available effective inertia of the hybrid energy storage system is always higher than the minimum requirement under the RoCoF constraint. Frequency-domain analysis shows that hydrogen energy storage accounts for 77.7% of the action energy in the long-period interval, while electrochemical energy storage accounts for 88.0% in the intra-day fluctuation interval. [Conclusions] The proposed model can reduce long-period energy storage configuration costs and improve the operational economy of isolated microgrids with high renewable energy penetration while satisfying the RoCoF constraint in the initial stage of disturbance and the annual energy balance requirement. For isolated microgrids with significant seasonal source-load mismatch, hydrogen energy storage is more suitable for cross-period energy transfer, whereas electrochemical energy storage is more suitable for intra-day power smoothing and inertia support.

Key words

isolated microgrid / electric-hydrogen hybrid energy storage / rate of change of frequency (RoCoF) / hydrogen energy penetration rate / coordinated operation characteristics

Cite this article

Download Citations
JIANG Shihan , JIANG Fei , CAI Zhuoliang , et al . Optimal Configuration and Cooperative Operation Characteristic Analysis of Electricity-Hydrogen Hybrid Energy Storage in Microgrids[J]. Electric Power Construction. 2026, 47(10): 122-135 https://doi.org/10.12204/j.issn.1000-7229.2026.10.010

附录A

表A1 混合储能系统动作能量占比

Table A1 Proportion of operating energy for hybrid energy storage system

渗透率/% 电化学储能动作能量占比/% 氢能储能动作能量占比/%
Tp≤24 h 24 h<Tp≤168 h Tp>168 h Tp≤24 h 24 h<Tp≤168 h Tp>168 h
0 40.20 14.00 45.80 0 0. 0
5 26.40 33.40 40.20 16.00 1.00 83.10
10 33.40 37.50 29.10 13.60 1.20 85.20
15 32.90 39.00 28.10 9.70 4.30 85.90
20 68.20 29.40 2.40 26.30 2.70 71.00
25 76.40 20.60 2.90 18.50 8.30 73.10
30 62.60 31.90 5.50 11.60 8.50 79.90
35 69.30 27.70 3.00 11.70 8.50 79.80
40 74.00 23.90 2.10 11.90 9.00 79.10
45 75.20 23.40 1.40 12.10 9.30 78.60
50 77.30 21.60 1.10 12.30 9.50 78.10
55 77.10 22.10 0.80 12.50 10.10 77.40
60 79.70 19.70 0.60 12.40 10.50 77.20
65 79.20 20.40 0.40 12.60 10.50 77.00
70 79.10 20.60 0.30 12.40 10.70 76.90
75 76.30 23.40 0.30 12.50 10.70 76.80
80 75.90 23.80 0.30 12.50 11.50 76.10
85 79.90 19.80 0.30 12.60 12.90 74.40
90 84.50 15.00 0.50 12.60 14.40 73.00
95 85.50 13.60 0.80 12.30 16.10 71.70

References

[1]
龙潇, 张晋宾, 陈令特. 未来能源技术展望[J]. 发电技术, 2025, 46(4): 651-693.
Abstract
目的 发展未来能源不仅是当前国际竞争的焦点,也是我国构建新型能源体系、高质量推进中国式现代化建设的必由之路。基于此,探讨了未来能源技术类别、研究现状以及未来发展趋势,旨在为相关领域的研究和政策制定提供参考。 方法 基于国际权威机构报告及全球典型项目数据,采用多维度分析方法,系统介绍了绿色低碳电源、生物能、合成烃燃料及氢能的全球研发现状。通过技术成熟度分级框架,结合经济性指标、政策支持力度及商业化案例,重点解析了各技术路线的关键突破、应用瓶颈与协同潜力,并构建了跨技术类别的能源转型路线图谱。 结果 随着技术进步和政策支持力度增大,可再生能源在电力结构中的占比得到显著提升,成为主要电源的进程持续加快。同时,生物能、氢能、合成烃燃料、可控核聚变等新兴技术的发展将为能源转型提供新的解决方案。 结论 研究结果为推动能源绿色低碳转型提供了科学依据,对能源领域相关人员研究和制定相关政策具有重要参考价值。
Long Xiao, Zhang Jinbin, Chen Lingte. Prospects for future energy technologies[J]. Power Generation Technology, 2025, 46(4): 651-693.

Objectives Developing future energy is both a current focus of international competition and an essential pathway for China to build a new-type energy system and advance Chinese-style modernization with high-quality development. Therefore, this study explores the categories, research status, and future development trends of energy technologies, aiming to provide references for research and policy making in related fields. Methods Based on reports from international authoritative institutions and data from typical global projects, multidimensional analysis methods are used to systematically introduce the global R&D status of green low-carbon power sources, bioenergy, synthetic hydrocarbon fuels, and hydrogen energy. Through the technology readiness level framework, combined with economic indicators, policy support, and commercial case studies, this study focuses on analyzing the key breakthroughs, application bottlenecks, and synergistic potential of different technological pathways, and establishes a systematic cross-technological roadmap for energy transition. Results Driven by technological advancements and policy support increase, the proportion of renewable energy in the power structure has significantly increased, accelerating the transition toward becoming the main power source. Additionally, the development of emerging technologies including bioenergy, hydrogen energy, synthetic hydrocarbon fuels, and controlled nuclear fusion will provide new solutions for energy transition. Conclusions The findings provide a scientific basis for promoting green and low-carbon energy transition, offering important references for researchers and policymakers in the energy field.

[2]
Mariam L, Basu M, Conlon M F. Microgrid: architecture, policy and future trends[J]. Renewable and Sustainable Energy Reviews, 2016, 64: 477-489.
[3]
邢鹏翔, 张世泽, 曾梦迪, 等. 多能源混合微网容量优化配置研究综述[J]. 武汉大学学报(工学版), 2017, 50(3): 375-383.
Xing Pengxiang, Zhang Shize, Zeng Mengdi, et al. Review of configuration optimization for hybrid microgrid with multiple energy resources[J]. Engineering Journal of Wuhan University, 2017, 50(3): 375-383.
[4]
董硕, 尉鹏程, 郝建锋, 等. 基于异构网络优化与自适应负荷管理的多微电网调度策略研究[J]. 电气应用, 2023, 42(12): 45-53.
Dong Shuo, Wei Pengcheng, Hao Jianfeng, et al. Research on multi-microgrid scheduling strategy based on heterogeneous network optimization and adaptive load management[J]. Electrotechnical Application, 2023, 42(12): 45-53.
[5]
吴青峰, 王毅, 于少娟, 等. 计及电池储能单元时间约束的微电网储荷协调控制方案[J]. 太阳能学报, 2023, 44(12): 453-462.
Abstract
在微电网内光伏、风力机等可再生能源发电装置发生故障或天气状况不佳,输出的能量不足以支撑负荷时,要求微电网内的电池储能系统(BESS)具有一定的负荷支撑能力。基于此,提出一种计及BESS时间约束的孤岛微电网储荷协调控制方案。该方案根据BESS时间约束和系统频率约束条件,利用两级多代理(MAS)对微电网内非关键负荷进行管理,使BESS能留有足够的容量支撑关键负荷在供电恢复前正常运行和保证频率在规定的范围内。同时,为保证所有BESS同时给负荷供电以减少切负荷量,提出基于两级MAS的BESS组间荷电状态(SOC)均衡方案。仿真结果表明:所提方案能同时实现BESS的时间约束、SOC均衡和频率控制。
Wu Qingfeng, Wang Yi, Yu Shaojuan, et al. Storage-load coordinated control scheme for microgrid considering time constraints of battery storage units[J]. Acta Energiae Solaris Sinica, 2023, 44(12): 453-462.
When the photovoltaic, wind turbine and other renewable energy power generation devices in the microgrid fail or the weather conditions are poor, and the output energy is insufficient to support the load, the battery energy storage system (BESS) in the microgrid is required to have a certain load support capacity. Based on this, a load-storage coordinated control scheme of isolated microgrid considering BESS time constraint is proposed. According to the time constraints and system frequency constraints of the BESS, the scheme uses a two-level multi-agent system (MAS) to manage the non-critical loads in the microgrid, so that the BESS can reserve sufficient capacity to support the normal operation of critical loads before power supply recovery and ensure that the frequency is within the specified range. ALSO, in order to ensure that all BESS supply power to the load at the same time to reduce load shedding, a state of charge (SOC) balancing scheme between BESS groups based on two-level MAS is proposed. The simulation results show that the proposed scheme can simultaneously realize the time constraint, SOC balancing and frequency control of BESS.
[6]
于会群, 张晓丹, 李增峰, 等. 基于电能质量等级的孤岛微电网分层控制策略[J]. 电力科学与技术学报, 2020, 35(6): 68-75.
Yu Huiqun, Zhang Xiaodan, Li Zengfeng, et al. Research on hierarchical control strategy of island micro-grid based on power quality grades[J]. Journal of Electric Power Science and Technology, 2020, 35(6): 68-75.
[7]
孙佳航, 王小华, 黄景光, 等. 基于MPC-VSG的孤岛微电网频率和电压动态稳定控制策略[J]. 中国电力, 2023, 56(6): 51-60, 81.
Sun Jiahang, Wang Xiaohua, Huang Jingguang, et al. MPC-VSG based control strategy for dynamic stability of frequency and voltage in islanded microgrid[J]. Electric Power, 2023, 56(6): 51-60, 81.
[8]
张志, 邵尹池, 伦涛, 等. 电化学储能系统参与调峰调频政策综述与补偿机制探究[J]. 电力工程技术, 2020, 39(5): 71-77, 84.
Zhang Zhi, Shao Yinchi, Lun Tao, et al. Review on the policies and compensation mechanism of BESS participation in the auxiliary service of frequency and peak modulation[J]. Electric Power Engineering Technology, 2020, 39(5): 71-77, 84.
[9]
刘阳, 滕卫军, 谷青发, 等. 规模化多元电化学储能度电成本及其经济性分析[J]. 储能科学与技术, 2023, 12(1): 312-318.
Abstract
多元储能技术作为优化能源结构、促进新能源开发和保护生态环境的重要手段是构建新型电力系统的关键环节。本工作根据储能规模化发展需求,聚焦规模化多元电化学储能的度电成本与经济性。文章从多元电化学储能技术的应用现状出发,考虑到电化学储能的成本构成和特性,建立了多元储能优化全寿命周期LCOE模型,对电化学储能技术的经济性进行了测算。分析表明,提高电化学储能经济性的关键在于降低储能的初始投资成本或单位容量成本。最后,结合我国国情对规模化电化学储能的经济发展进行了总结与展望。
Liu Yang, Teng Weijun, Gu Qingfa, et al. Scaled-up diversified electrochemical energy storage LCOE and its economic analysis[J]. Energy Storage Science and Technology, 2023, 12(1): 312-318.

Multiple energy storage technology that optimizes the energy structure, promotes new energy development, and protects the ecological environment is the key to realizing new power systems utilizing new energy sources. This paper investigates the cost and economics of large-scale multiple electrochemical energy storage that meets the requirements of energy storage scale development. We first introduce the current application situation of domestic multi-electrochemical energy storage technology. To this end, we establish and measure the levelized cost of energy model for optimizing multi-electrochemical energy storage. We found that the power cost of electrochemical energy storage gradually decreases with increasing scale of the energy storage. In a comparison study, we then reveal that to improve the economics of electrochemical energy storage, we must reduce either the initial investment cost or the unit capacity cost of energy storage. Finally, we propose the economic development of future large-scale energy storage under China's national conditions.

[10]
翟乐贤, 郑杰辉, 梁友才, 等. 基于阈值状态优化管理的电-氢混合储能低碳-经济协同规划[J]. 电网技术, 2026, 50(4): 1550-1561.
Zhai Lexian, Zheng Jiehui, Liang Youcai, et al. Low-carbon economic planning for electric-hydrogen hybrid energy storage based on threshold state optimization management[J]. Power System Technology, 2026, 50(4): 1550-1561.
[11]
马成, 李笑竹, 王子祥, 等. 基于自适应功率跟踪控制的质子交换膜燃料电池调频策略研究[J]. 电力系统保护与控制, 2025, 53(20): 58-68.
Ma Cheng, Li Xiaozhu, Wang Zixiang, et al. Research on frequency regulation strategy of proton exchange membrane fuel cells based on adaptive power tracking control[J]. Power System Protection and Control, 2025, 53(20): 58-68.
[12]
Giovanniello M A, Wu X Y. Hybrid lithium-ion battery and hydrogen energy storage systems for a wind-supplied microgrid[J]. Applied Energy, 2023, 345: 121311.
[13]
徐波, 伍声宇, 侯东羊, 等. 考虑季节性储氢的区域能源系统优化模型[J]. 智慧电力, 2024, 52(2): 40-47.
Xu Bo, Wu Shengyu, Hou Dongyang, et al. Regional energy system optimization model considering seasonal hydrogen storage[J]. Smart Power, 2024, 52(2): 40-47.
[14]
李奇, 赵淑丹, 蒲雨辰, 等. 考虑电氢耦合的混合储能微电网容量配置优化[J]. 电工技术学报, 2021, 36(3): 486-495.
Li Qi, Zhao Shudan, Pu Yuchen, et al. Capacity optimization of hybrid energy storage microgrid considering electricity-hydrogen coupling[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 486-495.
[15]
刘忠, 黄彦铭, 朱光明, 等. 含风-光-电氢混合储能的多微电网系统容量优化配置方法[J]. 发电技术, 2025, 46(2): 240-251.
Abstract
目的 为研究高比例可再生能源接入所带来的电力系统功率平衡复杂性增加、潮流分布不确定性提升和电网安全稳定性要求提高的问题,提出了一种包含风电、光伏、蓄电池和氢储能的多微电网系统容量优化配置方法。 方法 在多微电网配电网框架下,建立双层优化模型。该模型外层目标为最低全生命周期成本,内层目标为最小化配电网的峰谷差、网损和电压偏移。基于IEEE 69节点系统,使用白鲨优化(white shark optimizer,WSO)算法和Cplex求解器对模型进行求解,并获取最优容量配置方案和规划运行结果。最后,通过不同储能组合进行案例分析。 结果 当系统各部件的容量配置达到最优时,风光发电系统与电氢混合储能系统的装机比例为1∶0.27。风-光-电氢混合储能系统在经济性和稳定性上优于风-光-单一储能系统。 结论 所提方法在优化系统联合最优成本的同时,还能够有效降低负荷峰谷差、配电网网损并提高电能质量。
Liu Zhong, Huang Yanming, Zhu Guangming, et al. Optimal capacity configuration method for multi-microgrid system utilizing wind-solar-electric-hydrogen hybrid energy storage[J]. Power Generation Technology, 2025, 46(2): 240-251.

Objectives In order to study the problems of increasing complexity of power balance, and increasing uncertainty of power flow distribution and increasing security and stability requirements of power grid caused by high proportion of renewable energy access, a capacity optimization configuration method of multi-microgrid system including wind power, photovoltaic, battery and hydrogen energy storage is proposed. Methods A bi-level optimization model is established under the framework of multi-microgrid distribution network. The outer objective of the model is to minimize the life cycle cost, and the inner objective is to minimize the peak-valley difference, network loss and voltage offset of the distribution network. Based on the IEEE 69-bus system, the white shark optimizer (WSO) algorithm and Cplex solver were used to solve the model, and the optimal capacity configuration scheme and planning operation results are obtained. Finally, case analysis is carried out through different energy storage combinations. Results When the capacity configuration of each component of the system is optimal, the installed ratio of the wind-solar power generation system to the hybrid energy storage system is 1∶0.27. The wind-solar-electric-hydrogen hybrid energy storage system is superior to the wind-solar-single energy storage system in terms of economy and stability. Conclusions The proposed method can not only optimize the joint optimal cost of the system, but also effectively reduce the load peak-valley difference, distribution network loss and improve the power quality.

[16]
王西胜, 刘辉, 刘迪, 等. 电网友好型风电场多功能电-氢混合储能系统容量配置[J]. 电力科学与技术学报, 2024, 39(5): 141-150.
Wang Xisheng, Liu Hui, Liu Di, et al. Capacity configuration of multi-functional electric-hydrogen hybrid energy storage system in grid-friendly wind farm[J]. Journal of Electric Power Science and Technology, 2024, 39(5): 141-150.
[17]
赵晶晶, 樊濠诚, 王涵, 等. 考虑碳减排的配电网电-氢混合储能系统优化配置[J]. 电力自动化设备, 2025, 45(11): 153-160.
Zhao Jingjing, Fan Haocheng, Wang Han, et al. Optimal configuration of electricity-hydrogen hybrid energy storage system in distribution network considering carbon emission reduction[J]. Electric Power Automation Equipment, 2025, 45(11): 153-160.
[18]
丁琦欣, 赵波, 陈哲, 等. 基于多时间尺度特征提取的微网电氢混合储能协同优化配置[J]. 中国电机工程学报, 2025, 45(22): 8867-8879.
Ding Qixin, Zhao Bo, Chen Zhe, et al. Coordinated configuration optimization of hybrid electric-hydrogen energy storage in microgrids based on multi-time scale feature extraction[J]. Proceedings of the CSEE, 2025, 45(22): 8867-8879.
[19]
宋维山, 谢丽蓉, 张龙军, 等. 计及电解槽多模式运行制氢策略的微电网双层容量规划[J]. 智慧电力, 2025, 53(10): 44-53.
Song Weishan, Xie Lirong, Zhang Longjun, et al. Bi-level capacity planning of microgrid considering multi-mode electrolyzer operation strategy for hydrogen production[J]. Smart Power, 2025, 53(10): 44-53.
[20]
王俊猛, 谢丽蓉, 邹岳琳, 等. 计及含氢混合储能系统自保温的风电波动平抑策略[J]. 智慧电力, 2025, 53(5): 40-47.
Wang Junmeng, Xie Lirong, Zou Yuelin, et al. Wind power fluctuation mitigation strategy considering self-insulation of hydrogen-integrated hybrid energy storage systems[J]. Smart Power, 2025, 53(5): 40-47.
[21]
陈哲, 韦美佳, 林达, 等. 基于场景法和深度强化学习的电氢耦合系统两阶段多时间尺度优化调度[J]. 浙江电力, 2025, 44(1): 54-67.
Chen Zhe, Wei Meijia, Lin Da, et al. Two-stage multi-timescale optimal scheduling for electricity-hydrogen coupling systems based on scenario approach and deep reinforcement learning[J]. Zhejiang Electric Power, 2025, 44(1): 54-67.
[22]
Javadi M, Gong Y Z, Chung C Y. Frequency stability constrained BESS sizing model for microgrids[J]. IEEE Transactions on Power Systems, 2024, 39(2): 2866-2878.
[23]
闫志彬, 李立, 阳鹏, 等. 考虑构网型储能支撑能力的微电网优化调度策略[J]. 中国电力, 2025, 58(2): 103-110.
Yan Zhibin, Li Li, Yang Peng, et al. Optimal scheduling strategy for microgrid considering the support capabilities of grid forming energy storage[J]. Electric Power, 2025, 58(2): 103-110.
[24]
马立红, 梁亚峰, 程西, 等. 计及构网型储能稳定拓展的微电网群优化运行[J]. 电力工程技术, 2024, 43(6): 214-222.
Ma Lihong, Liang Yafeng, Cheng Xi, et al. Optimal operation of microgrids considering stabilized expansion of grid-forming energy storage[J]. Electric Power Engineering Technology, 2024, 43(6): 214-222.
[25]
李书勇, 蔡海青, 沈娜, 等. 不同类型新能源接入对微电网频率的影响[J]. 分布式能源, 2024, 9(2): 8-18.
Abstract
为建设新型能源体系与构建以新能源为主体的新型电力系统,不同类型的新能源加入到电力系统中,高比例新能源的加入对电力系统的影响日益显现。基于国家大力发展新能源的时代背景,结合广东山区具有发展小水电和风电的区位优势,运用理论、仿真等研究方法,对光伏、风电、小水电等不同种类新能源组成的多能互补微电网孤岛初期频率变化规律问题展开研究。首先,研究小水电、风电及光伏发电分别作为单独的分布式能源接进微电网孤岛运行幅频变化情况,发现只有光伏微电网具有较好的孤岛运行稳定性。接着,探讨小水电和光伏分别加入对风电微电网在孤岛初期幅频变化的影响,发现光伏对风电微电网全工况都有支撑作用,而小水电在特定工况下支撑作用较大。最后,分析风光水多能互补微电网孤岛初期幅频变化的影响,研究结果表明风光水多种新能源在一定配比下具有较好的运行稳定性。
Li Shuyong, Cai Haiqing, Shen Na, et al. Impact of different types of new energy access on microgrid frequency[J]. Distributed Energy, 2024, 9(2): 8-18.

In order to build a new energy system and a new power system with new energy as the main body, different types of new energy have joined the power system, and the influence of the addition of a high proportion of new energy on the power system has become increasingly apparent. Based on the era background of national efforts to develop new energy, combined with the location advantages of small hydropower and wind power in the mountainous area of Guangdong province, using theory, simulation and other research methods, the frequency variation law of multi-energy complementary microgrid island composed of different kinds of new energy such as photovoltaic, wind power, small hydropower was studied in the initial stage. Firstly, the variation of the amplitude and frequency of small hydropower, wind power and photovoltaic power generation as separate distributed energy sources were respectively connected to the microgrid island operation. It was found that only the photovoltaic microgrid had better island operation stability. Then, the influence of the addition of small hydropower and photovoltaic on the amplitude and frequency change of wind power microgrid in the initial island was discussed. It was found that photovoltaic had a supporting effect on the whole working condition of wind power microgrid, while small hydropower had a greater supporting effect under specific working conditions. Finally, the influence of amplitude and frequency changes in the initial phase of the wind-light-water multi-energy complementary microgrid islanding was analyzed. The results showed that the wind-light-water multi-energy new energy had better operation stability under a certain ratio.

[26]
石文辉, 屈姬贤, 罗魁, 等. 高比例新能源并网与运行发展研究[J]. 中国工程科学, 2022, 24(6): 52-63.
Abstract
大力发展新能源是我国实现碳达峰、碳中和战略目标,加速能源结构绿色低碳转型的刚性需求与必由之路。本文在调研分析我国新能源发展现状和趋势的基础上,展望了我国中期(2030年)、远期(2060年)高比例新能源并网场景;阐述了高比例新能源并网与运行面临的高效消纳与能源保障难题并存、安全稳定运行难度剧增、电力市场机制不适应等挑战;从电源侧、电网侧、负荷侧、储能及基础支撑4个方面,全面分析了高比例新能源并网与运行关键技术体系。着眼我国高比例新能源并网与运行的长期稳健发展,提出了加强协调规划、提升灵活平衡能力,强化技术攻关、突破关键技术体系,建立衔接机制、支撑新能源参与市场,深化市场设计、适应新能源消纳场景等建议,可为电力领域规划、电力技术研究提供基础参考。
Shi Wenhui, Qu Jixian, Luo Kui, et al. Grid-integration and operation of high proportioned new energy[J]. Strategic Study of CAE, 2022, 24(6): 52-63.

Vigorously developing new energy is vital for China to achieve carbon peaking and carbon neutrality goals and to accelerate the green and low-carbon transformation of its energy structure. This study first investigates the current status and trend of China's new energy development and then prospects grid integration scenarios for a high proportion of new energies in China in the medium (2030) and long term (2060). The challenges faced by the grid integration are analyzed, including coexistence of high-efficiency consumption and energy guarantee problems, increasing difficulty in safe and stable operation, and an unsuitable power market mechanism. Moreover, a key technology system is proposed from the perspectives of source side, grid side, load side, as well as energy storage and basic support. To achieve long-term steady development of the gird integration and operation for the high-proportioned new energy, we propose to strengthen coordinated planning to promote flexibility, make breakthroughs in key technologies, establish an interim mechanism between new energy policies and the power market, and improve the design of the power market to adapt to new energy consumption scenarios. This study could provide a basic reference for the research on power system planning and electric technologies.

[27]
尹诗斌, 蒋文杰, 文欢. 碱性电解槽制氢技术的研究现状及发展趋势[J]. 西华大学学报(自然科学版), 2025, 44(1): 168-180.
Yin Shibin, Jiang Wenjie, Wen Huan. Research status and development prospects of hydrogen production technology in alkaline electrolyzer[J]. Journal of Xihua University (Natural Science Edition), 2025, 44(1): 168-180.
[28]
沈侃恺, 夏冰清, 年珩, 等. 计及电解槽并网点电压影响的风光并网系统制氢效率优化[J]. 电力科学与技术学报, 2025, 40(4): 182-192.
Shen Kankai, Xia Bingqing, Nian Heng, et al. Optimization of hydrogen production efficiency in wind-solar grid-connected system considering voltage impact at grid connection point of electrolytic cell[J]. Journal of Electric Power Science and Technology, 2025, 40(4): 182-192.
[29]
李岩峰, 魏鹏冲, 黄峰, 等. 混合型电化学储能系统一次调频协调控制策略研究[J]. 自动化应用, 2025, 66(5): 122-124.
Li Yanfeng, Wei Pengchong, Huang Feng, et al. Research on coordinated control strategy for primary frequency regulation of hybrid electrochemical energy storage system[J]. Automation Application, 2025, 66(5): 122-124.
[30]
周彩婷, 赵晶, 马永康, 等. 质子交换膜燃料电池热管理技术的研究进展与展望[J]. 长沙理工大学学报(自然科学版), 2025, 22(6): 101-109.
Zhou Caiting, Zhao Jing, Ma Yongkang, et al. Research progress and prospects of thermal management technology for proton exchange membrane fuel cells[J]. Journal of Changsha University of Science & Technology (Natural Science), 2025, 22(6): 101-109.
[31]
陈伟, 江龙跃, 王德和. 光伏发电制氢技术[J]. 建材世界, 2022, 43(2): 99-102, 126.
Chen Wei, Jiang Longyue, Wang Dehe. Hydrogen production technology through photovoltaic power generation[J]. The World of Building Materials, 2022, 43(2): 99-102, 126.
[32]
陆继轩, 郑伟波, 李翔, 等. 质子交换膜燃料电池氢气渗透研究进展及抑制措施概述[J]. 汽车工程, 2025, 47(7): 1238-1257.
Lu Jixuan, Zheng Weibo, Li Xiang, et al. Overview of research progress on hydrogen permeation in proton exchange membrane fuel cells and mitigation measures[J]. Automotive Engineering, 2025, 47(7): 1238-1257.
[33]
吴限, 李卫东, 李正文, 等. 大扰动下考虑电化学储能的主动频率响应优化控制策略[J]. 电力系统自动化, 2023, 47(17): 118-127.
Wu Xian, Li Weidong, Li Zhengwen, et al. Optimal control strategy of active frequency response against large disturbance considering electrochemical energy storage[J]. Automation of Electric Power Systems, 2023, 47(17): 118-127.
[34]
汤昊, 姜飞, 等. 买买提艾力·吾普尔, 适用于氢燃料电池的双Z源DC-DC高增益变换器研究[J]. 电力建设, 2026, 47(3): 146-159.
Tang Hao, Jiang Fei, Maimaitieli Wupur, et al. Study of dual Z-source DC-DC high-gain converter for hydrogen fuel cells[J]. Electric Power Construction, 2026, 47(3): 146-159.
[35]
王欢. 弹丸运动过程转速测试及瞬态信息数据处理方法研究[D]. 太原: 中北大学, 2019.
Wang Huan. Research on speed measurement and transient information data processing method of projectile motion process[D]. Taiyuan: North University of China, 2019.
[36]
中关村储能产业技术联盟. CNESA年终盘点:2024年储能中标价格分析[EB/OL]. [2026-06-06]. https://www.cnesa.org/information/detail/column_id=1&id=6762.
[37]
数字经济网. 低成本、高性能,储能变流器开始走向模块化[EB/OL]. [2026-06-06]. https://www.szw.org.cn/20240927/67646.html.
[38]
维科网.2024年中国电解槽招投标结果出炉: 规模增长放缓,但格局有大变[EB/OL]. [2026-06-06]. https://www.ofweek.com/hydrogen/2025-01/ART-180827-8120-30655218.html.
[39]
新浪财经. "氢能第一股"六年亏17亿,燃料电池陷商业化困局[EB/OL]. [2026-06-06]. https://baijiahao.baidu.com/sid=1858640005227199232&wfr=spider&for=pc.
[40]
华泰证券. 氢储运:更高的压力,更低的温度[R/OL]. 南京: 华泰证券, [2026-06-06]. https://stock.tianyancha.com/qmp/report/2/6980c96d5f80a5fbd63420a9a4b034e3.pdf
[41]
付宇, 庞学跃, 刘为雄, 等. 多时间尺度下电氢耦合系统的实时运行调度优化[J]. 南方能源建设, 2025, 12(3): 78-89.
Fu Yu, Pang Xueyue, Liu Weixiong, et al. Real-time operation scheduling optimization of electric-hydrogen coupling system under multiple time scales[J]. Southern Energy Construction, 2025, 12(3): 78-89.

Footnotes

利益冲突声明(Conflict of Interests): 所有作者声明不存在利益冲突。

作者贡献声明(Authors’ Contributions): 江世涵提出研究概念与基本框架,设计论文整体结构,主导实验方案设计与实施,完成核心数据分析,起草并修订论文初稿,对论文核心内容进行最终审核;姜飞指导研究思路与整体方案设计,把控研究技术路线,提供关键学术指导与资源支持,审阅修订论文,并为论文最终版本定稿;蔡卓良参与实验过程与对比实验,协助完成数据采集与清洗,参与论文部分修订;欧阳卫负责文献调研与整理,参与数据收集及预处理工作;姜锋参与论文格式校对及参考文献整理。所有作者均阅读并同意了论文终稿内容。

Funding

the National Natural Science Foundation of China(52377166)
Key Research and Development Program of Hunan Province(2024AQ2009)
PDF(1678 KB)

Accesses

Citation

Detail

Recommended

/

〈 〉