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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

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

  • 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。

     

    Abstract: 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.

     

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