文献类型：期刊文献

英文题名：Two-stage stochastic optimization of integrated energy systems with hydrogen and battery storage under renewable uncertainty

作者：Tian, Zhou[1];Zhang, Haobo[1];Liu, Yurong[1];Zhao, Liang[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2026

卷号：229

外文期刊名：INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

收录：;EI(收录号：20261420433839);WOS:【SCI-EXPANDED(收录号:WOS:001735905200001)】；

基金：Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

语种：英文

外文关键词：Integrated energy systems; Hydrogen energy; Two-stage stochastic programming; Renewable uncertainty; Particle swarm optimization

摘要：Driven by carbon neutrality targets, integration of hydrogen and high renewable penetration are inevitable, yet hydrogen-enabled coupling mechanisms and stochastic multi-energy scheduling remain underexplored due to complex flows. To address these challenges, this study develops a model for a hydrogen-integrated multi-energy system and proposes a two-stage stochastic optimization framework to coordinate internal dispatch and external energy interactions. The resulting non-convex problem is solved by an improved scent-guided differential particle swarm optimization (SGD-PSO) algorithm. Case studies on the University of Manchester campus show that the proposed strategy reduces average daily operating costs by 32.6%-46.1% compared with deterministic optimization. Sensitivity analysis reveals that the optimal renewable capacity lies within 0.9-1.1 p.u., achieving over 99.8% renewable utilization, and reducing comprehensive costs. Overall, this study provides a practical stochastic optimization framework for hydrogen-integrated multi-energy systems, clarifying hydrogen-enabled coordination mechanisms and offering guidance for dispatch, renewable planning, and low-carbon energy system integration.