HYDROGEN ENERGY STORAGE CAPACITY CONFIGURATION FOR MULTI-SCENARIO REGULATION REQUIREMENTS

Li Pei, Wang Weiqing, Li Xiaozhu, Zhou Ming, Zhang Menglin

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (7) : 382-393.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (7) : 382-393. DOI: 10.19912/j.0254-0096.tynxb.2025-0310

HYDROGEN ENERGY STORAGE CAPACITY CONFIGURATION FOR MULTI-SCENARIO REGULATION REQUIREMENTS

  • Li Pei, Wang Weiqing, Li Xiaozhu, Zhou Ming, Zhang Menglin
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Abstract

To further improve the accommodation capacity of renewable energy and promote the utilization of hydrogen energy, this paper proposes an optimal configuration method for multi-scenario adaptable hydrogen energy storage systems. Firstly, considering the volatile characteristics of wind and photovoltaic power output, ambiguity sets for wind and solar power are established by adopting Bayesian generalized regression and nonlinear interaction models based on the distributionally robust optimization theory of Bayesian inference, and the wind-solar power output under typical operating scenarios is quantitatively calculated. Secondly, a system framework that meets the multi-scenario power regulation requirements is constructed. On this basis, a capacity optimization configuration model of hydrogen energy storage is developed with the objective of minimizing the total operational and investment cost of the system. Finally, the effectiveness and feasibility of the proposed method are verified through a regional practical case study. The results demonstrate that the wind-photovoltaic output data obtained via the Bayesian method improve the rationality of hydrogen energy storage configuration schemes. The proposed system framework can effectively satisfy multi-dimensional power regulation demands and reduce the total system cost, which fully validates the outstanding application advantages of hydrogen energy in new power systems.

Key words

renewable energy / robustness / energy storage / Bayesian theory / optimal configuration

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Li Pei, Wang Weiqing, Li Xiaozhu, Zhou Ming, Zhang Menglin. HYDROGEN ENERGY STORAGE CAPACITY CONFIGURATION FOR MULTI-SCENARIO REGULATION REQUIREMENTS[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 382-393 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0310

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