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

Fu-Cheng Wang, Yi-Shao Hsiao and Yi-Zhe Yang
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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

Energies, 2018, vol. 11, issue 8, 1-19

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.

Keywords: hybrid power system; fuel cell; solar; wind; hydrogen; optimization; cost; reliability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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