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

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/SimPowerSystemTM, 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.

Funding source: This research was funded by the Ministry of Science and Technology, R.O.C., in Taiwan under Grands MOST 105-2622-E-002-029 -CC3, MOST 106-2622-E-002-028 -CC3, and MOST 106-2221-E-002-165-. This research was also supported in part by the Ministry of Science and Technology of Taiwan (MOST 107-2634-F-002-018), National Taiwan University, Center for Artificial Intelligence & Advanced Robotics. The authors would like to thank M-FieldTM for their collaboration and technical supports.
Related subjects: Production & Supply Chain
Countries: Chinese Taipei
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/content/journal3089
2018-07-26
2022-05-29
http://instance.metastore.ingenta.com/content/journal3089
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