面向多场景调节需求的氢储能容量配置

李佩, 王维庆, 李笑竹, 周明, 张孟林

太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 382-393.

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 382-393. DOI: 10.19912/j.0254-0096.tynxb.2025-0310

面向多场景调节需求的氢储能容量配置

  • 李佩, 王维庆, 李笑竹, 周明, 张孟林
作者信息 +

HYDROGEN ENERGY STORAGE CAPACITY CONFIGURATION FOR MULTI-SCENARIO REGULATION REQUIREMENTS

  • Li Pei, Wang Weiqing, Li Xiaozhu, Zhou Ming, Zhang Menglin
Author information +
文章历史 +

摘要

为进一步提升可再生能源消纳率与氢能利用率,提出一种多场景适配的氢储能优化配置方法。首先,针对风光出力的波动性,基于贝叶斯理论,利用分布鲁棒方法,通过贝叶斯广义回归与非线性交互模型分别构造风电、光伏的模糊集,进而计算典型场景下的风光出力;其次,构建适应多场景调节需求的系统架构;在此基础上,以系统综合成本最小化为目标,建立氢储能容量优化配置模型;最后,通过某地区案例验证方法有效性。研究结果表明,基于贝叶斯方法得出的风光出力能提升氢储能配置的合理性,所提系统架构可有效满足调节需求,降低系统综合成本,并充分展现氢能的应用优势。

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.

关键词

可再生能源 / 鲁棒性 / 储能 / 贝叶斯理论 / 优化配置

Key words

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

引用本文

导出引用
李佩, 王维庆, 李笑竹, 周明, 张孟林. 面向多场景调节需求的氢储能容量配置[J]. 太阳能学报. 2026, 47(7): 382-393 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0310
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
中图分类号: TM91   

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基金

国家自然科学基金(52307108; 52267005)

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