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Model predictive control-based optimal control of primary frequency regulation power for hydrogen fuel cell-energy storage battery system

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  • Li, Jianlin
  • Hu, Jiayang
  • Xin, Dixi

Abstract

The integration of new energy into the power grid leads to a significant decrease in the inertia and damping characteristics of the current power system. So this paper proposes a joint control strategy of hydrogen fuel cell-energy storage battery system based on virtual parameter control and model predictive control (MPC). The proposed strategy has the potential to enhance the frequency stability of hydrogen fuel cell-energy storage battery system and alleviate the influence of stack temperature rise fluctuation on the output characteristics of proton exchange membrane fuel cell (PEMFC). Firstly, this paper constructs the system model. Then, according to the dynamic response time of the units, this paper adopts virtual droop control and virtual inertia control for PEMFC and energy storage battery separately. On this basis, this paper proceeds to construct a MPC state-space prediction model for the system. Finally, the simulation platform analyzes how system frequency changes under several different working conditions. In comparison to the conventional method, the dynamic response time of the system frequency regulation under the strategy in this paper is improved by approximately 50 %. Under the step load disturbance condition and the continuous load disturbance condition, the frequency deviation is reduced by about 12 % and 81 %. The results presented in this paper clearly demonstrate that the proposed control strategy significantly enhances the frequency stability of the system.

Suggested Citation

  • Li, Jianlin & Hu, Jiayang & Xin, Dixi, 2025. "Model predictive control-based optimal control of primary frequency regulation power for hydrogen fuel cell-energy storage battery system," Renewable Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:renene:v:248:y:2025:i:c:s0960148125007955
    DOI: 10.1016/j.renene.2025.123133
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    References listed on IDEAS

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    1. Yan, Kun & Gao, Hanbo & Liu, Rui & Lyu, Yizheng & Wan, Mei & Tian, Jinping & Chen, Lyujun, 2024. "Review on low-carbon development in Chinese industrial parks driven by bioeconomy strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    2. Laiqing Yan & Tao Shui & Tailin Xue & Miao Wang & Ning Ma & Kaiyue Li, 2022. "Comprehensive Control Strategy Considering Hybrid Energy Storage for Primary Frequency Modulation," Energies, MDPI, vol. 15(11), pages 1-16, June.
    3. Akram, Umer & Nadarajah, Mithulananthan & Shah, Rakibuzzaman & Milano, Federico, 2020. "A review on rapid responsive energy storage technologies for frequency regulation in modern power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    4. Elena Crespi & Giulio Guandalini & German Nieto Cantero & Stefano Campanari, 2022. "Dynamic Modeling of a PEM Fuel Cell Power Plant for Flexibility Optimization and Grid Support," Energies, MDPI, vol. 15(13), pages 1-23, June.
    5. Rao, Yingqing & Yang, Jun & Xiao, Jinxing & Xu, Bingyan & Liu, Wenjing & Li, Yonghui, 2021. "A frequency control strategy for multimicrogrids with V2G based on the improved robust model predictive control," Energy, Elsevier, vol. 222(C).
    6. Xing, Wei & Wang, Hewu & Lu, Languang & Han, Xuebing & Sun, Kai & Ouyang, Minggao, 2021. "An adaptive virtual inertia control strategy for distributed battery energy storage system in microgrids," Energy, Elsevier, vol. 233(C).
    7. Melika Hinaje & Stéphane Raël & Panee Noiying & Dinh An Nguyen & Bernard Davat, 2012. "An Equivalent Electrical Circuit Model of Proton Exchange Membrane Fuel Cells Based on Mathematical Modelling," Energies, MDPI, vol. 5(8), pages 1-21, July.
    8. Liu, Zhaoming & Chang, Guofeng & Yuan, Hao & Tang, Wei & Xie, Jiaping & Wei, Xuezhe & Dai, Haifeng, 2023. "Adaptive look-ahead model predictive control strategy of vehicular PEMFC thermal management," Energy, Elsevier, vol. 285(C).
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