Page 35 - 《中国电力》2026年第5期

徐恒山等：考虑储氢状态和直流母线电压稳定性的电氢耦合储能直流微网协调控制策略 2026 年第 5 期

development prospect of coupled wind and hydrogen systems[J]. coordinated control for DC microgrid with hydrogen-storage-wind
Proceedings of the CSEE, 2021, 41(6): 2187–2201. power considering hydrogen production efficiency optimization[J].
[13] 李建林, 梁忠豪, 李光辉, 等. 太阳能制氢关键技术研究 [J]. 太阳能 Automation of Electric Power Systems, 2024, 48(13): 19–29.
学报, 2022, 43(3): 2–11. [21] 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
LI Jianlin, LIANG Zhonghao, LI Guanghui, et al. Analysis of key 微网协调控制策略研究 [J]. 中国电力, 2023, 56(7): 43–53.
technologies for solar hydrogen production[J]. Acta Energiae Solaris WANG Jihua, YE Xiaming, QIN Ruyi, et al. Research on
Sinica, 2022, 43(3): 2–11. coordinated control strategy of hydrogen-electric hybrid energy
[14] 张梓陌, 孙欣. 基于数据驱动的微电网氢储容量柔性优化配置方 storage microgrid based on exponential-function-based droop
法 [J]. 上海电力大学学报, 2025, 41(3): 271–280. control[J]. Electric Power, 2023, 56(7): 43–53.
ZHANG Zimo, SUN Xin. Data-driven flexible optimal configuration [22] 李荦一, 韩莹, 李奇, 等. 计及效率特性的电-氢混合储能直流微网
method for hydrogen storage capacity in microgrids[J]. Journal of 经济下垂控制策略 [J]. 电力系统保护与控制, 2022, 50(7): 69–80.

Shanghai University of Electric Power, 2025, 41(3): 271–280. LI Luoyi, HAN Ying, LI Qi, et al. Economic droop control strategy
[15] PEI W, ZHANG X, DENG W, et al. Review of operational control of a hybrid electric-hydrogen DC microgrid considering efficiency

strategy for DC microgrids with electric-hydrogen hybrid storage characteristics[J]. Power System Protection and Control, 2022, 50(7):
systems[J]. CSEE Journal of Power and Energy Systems, 2022, 8(2): 69–80.
329–346. [23] 邵冲, 胡荣义, 余姣, 等. 考虑荷电与储氢状态的风光氢储系统动态
[16] 丁剑, 方晓松, 宋云亭, 等. 碳中和背景下西部新能源传输的电氢综 控制仿真模型 [J]. 中国电力, 2024, 57(7): 109–124.
合能源网构想 [J]. 电力系统自动化, 2021, 45(24): 1–9. SHAO Chong, HU Rongyi, YU Jiao, et al. Dynamic modeling and

DING Jian, FANG Xiaosong, SONG Yunting, et al. Conception of control strategy for hybrid energy storage system considering state of
electricity and hydrogen integrated energy network for renewable charge and storage state of hydrogen[J]. Electric Power, 2024, 57(7):
energy transmission in western China under background of carbon 109–124.
neutralization[J]. Automation of Electric Power Systems, 2021, [24] 张学, 裴玮, 梅春晓, 等. 含电/氢复合储能系统的孤岛直流微电网
45(24): 1–9. 模糊功率分配策略与协调控制方法 [J]. 高电压技术, 2022, 48(3):
[17] 姚钢, 石片超, 周荔丹, 等. 含氢储直流微电网的 VSG 协同控制策 958–968.
略 [J]. 电力系统及其自动化学报, 2025, 37(2): 151–158. ZHANG Xue, PEI Wei, MEI Chunxiao, et al. Fuzzy power allocation
YAO Gang, SHI Pianchao, ZHOU Lidan, et al. VSG cooperative strategy and coordinated control method of islanding DC microgrid
control strategy for DC microgrids with hydrogen storage[J]. with electricity/hydrogen hybrid energy storage systems[J]. High
Proceedings of the CSU-EPSA, 2025, 37(2): 151–158. Voltage Engineering, 2022, 48(3): 958–968.
[18] 姜建国, 姚德华, 毕洪波. 风光氢储耦合系统容量配置优化研 [25] 李建林, 梁策, 曾飞, 等. 基于级联式模糊控制的电氢耦合直流微网
究 [J]. 电力需求侧管理, 2025, 27(4): 98–104. 能量管理策略研究 [J]. 电力系统保护与控制, 2024, 52(18): 87–
JIANG Jianguo, YAO Dehua, BI Hongbo. Optimization study on 100.
capacity allocation of wind, light and hydrogen storage coupling LI Jianlin, LIANG Ce, ZENG Fei, et al. An energy management
system[J]. Power Demand Side Management, 2025, 27(4): 98–104. strategy for an electricity-hydrogen coupled DC microgrid based on
[19] 王宇轩, 江路毅, 范雪飞. 基于氢储能的直流微电网系统功率分配 cascade fuzzy control[J]. Power System Protection and Control,
策略研究 [J]. 热力发电, 2023, 52(11): 105–114. 2024, 52(18): 87–100.
WANG Yuxuan, JIANG Luyi, FAN Xuefei. Research on power [26] 徐万万, 王斌, 刘江, 等. 电-氢微网群功率协调与谐波补偿控制策
distribution strategy of DC microgrid system based on hydrogen 略 [J]. 太阳能学报, 2024, 45(6): 201–207.
energy storage[J]. Thermal Power Generation, 2023, 52(11): XU Wanwan, WANG Bin, LIU Jiang, et al. Power coordinated
105–114. control and harmonic compensation of electricity-hydrogen energy
[20] 尹德强, 姚良忠, 程帆, 等. 考虑制氢效率优化的氢-储-风直流微网 microgrid clusters[J]. Acta Energiae Solaris Sinica, 2024, 45(6):
功率协调控制 [J]. 电力系统自动化, 2024, 48(13): 19–29. 201–207.
YIN Deqiang, YAO Liangzhong, CHENG Fan, et al. Power [27] 陈燚, 何山, 谢少华, 等. 基于合作博弈的风-光-电氢微网容量配

31