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The Optimization of Hybrid Power Systems with Renewable Energy and Hydrogen Generation

Author

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  • Fu-Cheng Wang

    (Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan)

  • Yi-Shao Hsiao

    (Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan)

  • Yi-Zhe Yang

    (Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan)

Abstract

This paper discusses the optimization of hybrid power systems, which consist of solar cells, wind turbines, fuel cells, hydrogen electrolysis, chemical hydrogen generation, and batteries. Because hybrid power systems have multiple energy sources and utilize different types of storage, we first developed a general hybrid power model using the Matlab/SimPowerSystem TM , and then tuned model parameters based on the experimental results. This model was subsequently applied to predict the responses of four different hybrid power systems for three typical loads, without conducting individual experiments. Furthermore, cost and reliability indexes were defined to evaluate system performance and to derive optimal system layouts. Finally, the impacts of hydrogen costs on system optimization was discussed. In the future, the developed method could be applied to design customized hybrid power systems.

Suggested Citation

  • Fu-Cheng Wang & Yi-Shao Hsiao & Yi-Zhe Yang, 2018. "The Optimization of Hybrid Power Systems with Renewable Energy and Hydrogen Generation," Energies, MDPI, vol. 11(8), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:1948-:d:160215
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    References listed on IDEAS

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    Cited by:

    1. Hugo Algarvio & Fernando Lopes & António Couto & Ana Estanqueiro & João Santana, 2019. "Variable Renewable Energy and Market Design: New Products and a Real-World Study," Energies, MDPI, vol. 12(23), pages 1-17, November.
    2. Kody T. Ponds & Ali Arefi & Ali Sayigh & Gerard Ledwich, 2018. "Aggregator of Demand Response for Renewable Integration and Customer Engagement: Strengths, Weaknesses, Opportunities, and Threats," Energies, MDPI, vol. 11(9), pages 1-20, September.
    3. Massimo Moser & Matteo Pecchi & Thomas Fend, 2019. "Techno-Economic Assessment of Solar Hydrogen Production by Means of Thermo-Chemical Cycles," Energies, MDPI, vol. 12(3), pages 1-17, January.
    4. Christoph Wenge & Robert Pietracho & Stephan Balischewski & Bartlomiej Arendarski & Pio Lombardi & Przemyslaw Komarnicki & Leszek Kasprzyk, 2020. "Multi Usage Applications of Li-Ion Battery Storage in a Large Photovoltaic Plant: A Practical Experience," Energies, MDPI, vol. 13(18), pages 1-18, September.
    5. Nicu Bizon & Mihai Oproescu, 2018. "Experimental Comparison of Three Real-Time Optimization Strategies Applied to Renewable/FC-Based Hybrid Power Systems Based on Load-Following Control," Energies, MDPI, vol. 11(12), pages 1-32, December.
    6. Bizon, Nicu, 2019. "Fuel saving strategy using real-time switching of the fueling regulators in the proton exchange membrane fuel cell system," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    7. Fu-Cheng Wang & Kuang-Ming Lin, 2018. "Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells," Energies, MDPI, vol. 12(1), pages 1-16, December.
    8. Nicu Bizon & Phatiphat Thounthong, 2021. "A Simple and Safe Strategy for Improving the Fuel Economy of a Fuel Cell Vehicle," Mathematics, MDPI, vol. 9(6), pages 1-29, March.
    9. Nicu Bizon & Valentin Alexandru Stan & Angel Ciprian Cormos, 2019. "Optimization of the Fuel Cell Renewable Hybrid Power System Using the Control Mode of the Required Load Power on the DC Bus," Energies, MDPI, vol. 12(10), pages 1-15, May.

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