首页|期刊导航|中国电力|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

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OA

Coordinated control strategy of electric-hydrogen coupled energy storage DC microgrid considering hydrogen storage state and DC bus voltage stability

中文摘要英文摘要

针对电氢耦合储能直流微网中母线电压易波动和储氢状态(state of hydrogen,SOH)易越限的问题,提出了一种考虑 SOH 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.首先,氢储能系统(hydrogen energy storage system,HESS)采用基于模糊算法的下垂控制策略,综合考虑母线电压波动和 SOH 对 HESS 的输出功率进行动态优化.其次,电池储能系统(battery energy storage system,BESS)采用基于类似虚拟同步发电机(analogous virtual synchronous generator,AVSG)的控制策略模拟电容的充放电特性,对直流母线电压的动态性能进行优化.最后,考虑母线电压波动幅值,通过控制 HESS 和 BESS 的运行模式对母线电压进一步协调优化.在 Matlab/Simulink平台中搭建了电氢耦合储能微网仿真模型,验证所提策略的有效性.结果表明:所提协调控制策略能够在源荷波动场景下提升直流微网母线电压的稳定性、改善氢储能系统的过充过放情况.

To address the issues of bus voltage fluctuations and state of hydrogen(SOH)limit violations in electric-hydrogen coupled energy storage DC microgrids,a coordinated control strategy for electric-hydrogen coupled energy storage DC microgrids considering SOH and DC bus voltage stability is proposed.Firstly,a droop control strategy based on fuzzy algorithm is used for hydrogen energy storage system(HESS)to dynamically optimize the output power of HESS by comprehensively considering bus voltage fluctuations and SOH.Secondly,a control strategy based on analogous virtual synchronous generator(AVSG)is utilized for battery energy storage system(BESS)to simulate the charge-discharge characteristics of capacitors,so as to optimize the dynamic performance of DC bus voltage.Finally,considering the amplitude of bus voltage fluctuation,the operation modes of HESS and BESS are controlled to further coordinately optimize the stability of DC bus voltage.A simulation model of the electric-hydrogen coupled energy storage microgrid is built on the Matlab/Simulink platform to verify the effectiveness of the proposed strategy.The test results show that the proposed coordinated control strategy can improve the stability of DC microgrid bus voltage and alleviate the overcharge and overdischarge of the hydrogen energy storage system under source-load fluctuation scenarios.

徐恒山;柴森;伍阳阳;李晨阳;张亚健;莫汝乔

三峡大学 电气与新能源学院,湖北 宜昌 443002三峡大学 电气与新能源学院,湖北 宜昌 443002云南电力试验研究院(集团)有限公司,云南 昆明 650217三峡大学 电气与新能源学院,湖北 宜昌 443002上海大学 机电工程与自动化学院,上海 200444国网重庆市电力公司超高压分公司,重庆 400039

电氢耦合储能直流微电网模糊算法下垂控制AVSG控制协调控制电压控制策略

electric-hydrogen coupled energy storageDC microgridfuzzy algorithmdroop controlAVSG controlcoordinated controlvoltage control strategy

《中国电力》 2026 (5)

20-32,13

国家自然科学基金资助项目(62103254). This work is supported by The National Natural Science Foundation of China(No.62103254).

10.11930/j.issn.1004-9649.202412042

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