Capacity optimization model for an ALK-PEM electrolytic hydrogen production system considering the stabilization of wind and PV fluctuations
DOI：10.19783/j.cnki.pspc.230500
Key Words:hydrogen  ALK-PEM electrolysis  EMD  wind and PV fluctuations  capacity configuration
Author NameAffiliation
YANG Sheng School of Electrical Engineering, Xinjiang University, Urumqi 830047, China 
FAN Yanfang School of Electrical Engineering, Xinjiang University, Urumqi 830047, China 
HOU Junjie School of Electrical Engineering, Xinjiang University, Urumqi 830047, China 
BAI Xueyan School of Electrical Engineering, Xinjiang University, Urumqi 830047, China 
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Abstract:To enhance wind power and photovoltaic utilization, electrolytic hydrogen production has gained attention. However, hydrogen energy is vulnerable to the fluctuations of these resources during production. Therefore, this paper proposes an alkaline-proton exchange membrane (ALK-PEM) capacity optimization model for hydrogen electrolysis to mitigate these fluctuations. First, the EMD algorithm is used to analyze the transient fluctuation characteristics of raw wind and PV. Supercapacitors are employed to smooth these fluctuations, ensuring safe and stable operation of the hydrogen production system. An EMD-based SC capacity allocation model is constructed for this purpose. Second, a capacity optimization model is proposed for the ALK-PEM electrolytic hydrogen production system. By combining proton exchange membrane (PEM) and Alkaline (ALK) electrolyzers, it replaces the single-type electrolyzer system. This approach considers different electrolyzer operational characteristics, thereby improving economic efficiency. Finally, the system's capacity planning is simulated using data from a wind farm and a photovoltaic power plant. This validates the proposed model's effectiveness in smoothing fluctuations, enhancing renewable energy utilization, and improving the system’s overall economy.
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