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Neuro-fuzzy-SVPWM switched-inductor-capacitor-based boost inverter for grid-tied fuel cell power generators, design and implementation

Author

Listed:
  • Ertekin, Davut
  • Özden, Mustafa
  • Deniz, Adnan
  • Zeyd Toprak, Muhammed

Abstract

Hydrogen energy shows promise as a renewable energy source for various applications like battery and electric vehicle charging stations, as well as grid connections. However, high current ripple from fuel cells (FCs) and inadequate voltages for grid use pose challenges. This study presents a novel solution using neural fuzzy network control in a high-gain DC-DC boost converter to address these issues. The suggested converter charges in parallel and discharges in series, minimizing the current ripple range in the fuel cell network. Additionally, the switch-capacitor cell efficiently increases the output voltage.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:renene:v:227:y:2024:i:c:s0960148124005342
    DOI: 10.1016/j.renene.2024.120469
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    References listed on IDEAS

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    1. Li, Yanhua & Wang, Xilian & Fang, Xinyu & Liu, Yuenan & Zhao, Pengyu & Cui, Ruizhen, 2022. "Modeling and control strategy analysis of a hydraulic energy-storage wave energy conversion system," Renewable Energy, Elsevier, vol. 182(C), pages 969-981.
    2. Hao, Xinyang & Salhi, Issam & Laghrouche, Salah & Ait Amirat, Youcef & Djerdir, Abdesslem, 2023. "Multiple inputs multi-phase interleaved boost converter for fuel cell systems applications," Renewable Energy, Elsevier, vol. 204(C), pages 521-531.
    3. Yu, Xingzi & Zhang, Caizhi & Li, Mengxiao & Wang, Gucheng & Tu, Zhengkai & Yu, Tao & Dong, Hui & Zhao, Fuqiang, 2024. "Thermal management of an open-cathode PEMFC based on constraint generalized predictive control and optimized strategy," Renewable Energy, Elsevier, vol. 220(C).
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