COLLABORATIVE AND OPTIMAL STRATEGY OF HYDROGEN-STORAGE COUPLING SYSTEM BASED ON DUAL FUZZY CONTROL

Han Xiaojuan; Guo Siqi; Lyu Zhiheng

doi:10.19912/j.0254-0096.tynxb.2023-1114

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 718-726. DOI: 10.19912/j.0254-0096.tynxb.2023-1114

COLLABORATIVE AND OPTIMAL STRATEGY OF HYDROGEN-STORAGE COUPLING SYSTEM BASED ON DUAL FUZZY CONTROL

Han Xiaojuan, Guo Siqi, Lyu Zhiheng

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Abstract

To address the issues of grid-connected wind power fluctuations and the high pressure of peak shaving on thermal power units, this paper introduces a collaborative and optimal strategy for wind-thermal-hydrogen-storage coupling systems based on multiple application scenarios. The variational mode decomposition algorithm is applied to decompose the wind power, and the grid-connected wind power is smoothed according to the dual time-scale grid volatility limits and weighted grey relation analysis. The alkaline electrolyzers consume surplus power to assist the deep peak shaving of thermal power units, and the hydrogen generated is used for smoothing wind power fluctuations scenario. Dual fuzzy control is employed to optimize the state of charge of electrochemical energy storage and to enhance the deep peak shaving ability of thermal power units. Moreover, the economics of the wind-thermal-hydrogen-storage coupling system under different application scenarios are compared. The effectiveness of this method is verified through simulation analysis of the actual operating data at wind and thermal power units in China.

Key words

hydrogen production / energy management / fuzzy control / multiple application scenarios / deep peak shaving

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Han Xiaojuan, Guo Siqi, Lyu Zhiheng. COLLABORATIVE AND OPTIMAL STRATEGY OF HYDROGEN-STORAGE COUPLING SYSTEM BASED ON DUAL FUZZY CONTROL[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 718-726 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1114

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