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Stability control and analysis of hydrogen production using a multi-terminal DC EV charging system with PV

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  • Yi, Yin
  • Zhou, Yun
  • Feng, Donghan
  • Yin, Wenhang
  • Li, Hengjie
  • Yang, Qingliu

Abstract

In the shift towards sustainable energy, DC microgrids have emerged as efficient and reliable alternatives to traditional AC systems, particularly suited for low-voltage applications. The adoption of electric vehicles (EVs) in multi-terminal DC (MTDC) systems introduces challenges in maintaining voltage stability, particularly during master station failures. Our research introduces a decentralized control strategy with multi-mode switching to ensure stability under such conditions. We conduct a comprehensive stability analysis of MTDC systems heavily integrated with EVs, identifying the instability risks and proposing mitigation strategies. The effectiveness of our control approach is validated through simulation studies and a detailed state-space model. Additionally, we explore the integration of renewable energy sources and hydrogen production into MTDC systems for EV charging, which minimizes the need for a new power infrastructure and enhances renewable energy use. This integration optimally reduces renewable energy discard rates, thereby improving energy efficiency without compromising system performance. Our study provides practical insights and theoretical support for renewable energy-driven hydrogen production within DC microgrids. The proposed scheme's performance is validated through simulation studies using a state-space model.

Suggested Citation

  • Yi, Yin & Zhou, Yun & Feng, Donghan & Yin, Wenhang & Li, Hengjie & Yang, Qingliu, 2024. "Stability control and analysis of hydrogen production using a multi-terminal DC EV charging system with PV," Renewable Energy, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:renene:v:234:y:2024:i:c:s0960148124012643
    DOI: 10.1016/j.renene.2024.121196
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    References listed on IDEAS

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    1. Mbungu, Nsilulu T. & Ismail, Ali A. & AlShabi, Mohammad & Bansal, Ramesh C. & Elnady, A. & Hamid, Abdul Kadir, 2023. "Control and estimation techniques applied to smart microgrids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    2. Kheshti, Mostafa & Zhao, Xiaowei & Liang, Ting & Nie, Binjian & Ding, Yulong & Greaves, Deborah, 2022. "Liquid air energy storage for ancillary services in an integrated hybrid renewable system," Renewable Energy, Elsevier, vol. 199(C), pages 298-307.
    3. Zhao, Ning & Wang, Jiangjiang & Tian, Yuyang & Yao, Zibo & Yan, Suying, 2024. "Numerical study on a novel solar-thermal-reaction system for clean hydrogen production of methanol-steam reforming," Renewable Energy, Elsevier, vol. 222(C).
    4. Gu, Xufei & Ying, Zhi & Zheng, Xiaoyuan & Dou, Binlin & Cui, Guomin, 2023. "Photovoltaic-based energy system coupled with energy storage for all-day stable PEM electrolytic hydrogen production," Renewable Energy, Elsevier, vol. 209(C), pages 53-62.
    5. Liang, Tao & Chai, Lulu & Cao, Xin & Tan, Jianxin & Jing, Yanwei & Lv, Liangnian, 2024. "Real-time optimization of large-scale hydrogen production systems using off-grid renewable energy: Scheduling strategy based on deep reinforcement learning," Renewable Energy, Elsevier, vol. 224(C).
    6. Wang, Ningbo & Guo, Yanhua & Liu, Lu & Shao, Shuangquan, 2024. "Numerical assessment and optimization of photovoltaic-based hydrogen-oxygen Co-production energy system: A machine learning and multi-objective strategy," Renewable Energy, Elsevier, vol. 227(C).
    7. Ertekin, Davut & Özden, Mustafa & Deniz, Adnan & Zeyd Toprak, Muhammed, 2024. "Neuro-fuzzy-SVPWM switched-inductor-capacitor-based boost inverter for grid-tied fuel cell power generators, design and implementation," Renewable Energy, Elsevier, vol. 227(C).
    8. Wang, Jing & Kang, Lixia & Liu, Yongzhong, 2024. "Optimal design of a renewable hydrogen production system by coordinating multiple PV arrays and multiple electrolyzers," Renewable Energy, Elsevier, vol. 225(C).
    9. Yin, Xiuxing & Jiang, Zhansi & Pan, Li, 2020. "Recurrent neural network based adaptive integral sliding mode power maximization control for wind power systems," Renewable Energy, Elsevier, vol. 145(C), pages 1149-1157.
    10. Ahmed, Faraedoon & Al Kez, Dlzar & McLoone, Seán & Best, Robert James & Cameron, Ché & Foley, Aoife, 2023. "Dynamic grid stability in low carbon power systems with minimum inertia," Renewable Energy, Elsevier, vol. 210(C), pages 486-506.
    11. Li, Ruiqi & Ren, Hongbo & Wu, Qiong & Li, Qifen & Gao, Weijun, 2024. "Cooperative economic dispatch of EV-HV coupled electric-hydrogen integrated energy system considering V2G response and carbon trading," Renewable Energy, Elsevier, vol. 227(C).
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