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Electrochemical optimization and small-signal analysis of grid-connected polymer electrolyte membrane (PEM) fuel cells for renewable energy integration

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  • Moazeni, Faegheh
  • Khazaei, Javad

Abstract

In this paper, a small-signal model of a single cell Polymer Electrolyte Membrane Fuel Cell (PEMFC) was developed based on state-space approach to study the effect of various operating conditions on the dynamic responses of the fuel cell. Dynamics of hydrogen, oxygen, and water partial pressure were considered in the modeling procedure. The transient responses of a single- and multiple cell PEMFC were also investigated as the operating parameters of air flow rate, fuel flow rate, temperature, anode/cathode relative humidity level, and electrical current were varied. Next, the studied PEMFC was integrated to the main grid using a boost DC/DC converter and a DC/AC converter. The stability of the overall system was tested through eigenvalue analysis in MATLAB, and several case studies were designed to examine the sensitivity of boost converter parameters and phase-locked loop (PLL) on the stability of the overall system. The analysis results were then validated on a 100 Watt simulated PEMFC in MATLAB Simscape Power System toolbox, and a set of optimum operating conditions were proposed.

Suggested Citation

  • Moazeni, Faegheh & Khazaei, Javad, 2020. "Electrochemical optimization and small-signal analysis of grid-connected polymer electrolyte membrane (PEM) fuel cells for renewable energy integration," Renewable Energy, Elsevier, vol. 155(C), pages 848-861.
  • Handle: RePEc:eee:renene:v:155:y:2020:i:c:p:848-861
    DOI: 10.1016/j.renene.2020.03.165
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    References listed on IDEAS

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    Cited by:

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    2. Calili-Cankir, Fatma & Ismail, Mohammed S. & Ingham, Derek B. & Hughes, Kevin J. & Ma, Lin & Pourkashanian, Mohamed, 2022. "Air-breathing versus conventional polymer electrolyte fuel cells: A parametric numerical study," Energy, Elsevier, vol. 250(C).
    3. Tawalbeh, Muhammad & Murtaza, Sana Z.M. & Al-Othman, Amani & Alami, Abdul Hai & Singh, Karnail & Olabi, Abdul Ghani, 2022. "Ammonia: A versatile candidate for the use in energy storage systems," Renewable Energy, Elsevier, vol. 194(C), pages 955-977.
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