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Research on power fluctuation matching control of large-scale wind power hydrogen production system based on multi-factor cyclic queue method

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DOI: 10.23977/jeeem.2023.060210 | Downloads: 16 | Views: 548

Author(s)

Hao Li 1, Zixuan Shangguan 1, Cunman Zhang 1

Affiliation(s)

1 School of Automotive Studies, Tongji University, Shanghai, China

Corresponding Author

Cunman Zhang

ABSTRACT

Coupling and controlling renewable energy wind power and large-scale electrolytic hydrogen production system to adapt to the fluctuation of wind power can obtain green hydrogen energy from the source and reduce the waste phenomenon of renewable energy, so as to promote the development of a green and low-carbon energy society. In this paper, by constructing a large-scale electrolytic hydrogen production system with an alkaline water electrolyzer as the main body, a multi-factor cyclic queue control strategy developed based on the state parameters of the electrolyzer device is coupled, and the strategy simulation work is carried out in combination with the 241h wind power duration curve of a certain place. The simulation results show that the control strategy not only meets the requirements of the hydrogen production system for fast and accurate response to wind power fluctuation input, but also optimizes and balances the overall running time of the electrolytic hydrogen production system, effectively improving the life consistency of the hydrogen production system. The results of this study can provide a new technical development direction for large-scale consumption and application of renewable energy.

KEYWORDS

Large-scale Wind Power Hydrogen Production, Alkaline Water Electrolyzer, Power Fluctuation Matching, Multi-factor Cyclic Queue

CITE THIS PAPER

Hao Li, Zixuan Shangguan, Cunman Zhang, Research on power fluctuation matching control of large-scale wind power hydrogen production system based on multi-factor cyclic queue method. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 72-83. DOI: http://dx.doi.org/10.23977/jeeem.2023.060210.

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