Two-stage optimal scheduling strategy for electric-hydrogen integrated energy stations considering demand response in energy and reserve services markets

Qian Zhang, Hui Jin, Xiaohan Wu, Tianxi Qin, Xingchen Tan and Xin Su

Energy, 2025, vol. 334, issue C

Abstract: To address the deviation between day-ahead bidding plans and real-time dispatch requirements in electric-hydrogen integrated energy stations (EHES) caused by source-load uncertainties, this paper proposes a two-stage scheduling strategy incorporating demand-side response (DR) within energy market (EM) and reserve services market (RSM). First, considering system source-load uncertainty, a day-ahead multi-scenario operation optimization method and a real-time rolling optimization framework are developed. Second, a two-stage stochastic optimization model is formulated, incorporating dual-settlement mechanisms and deviation penalties in electricity markets while accounting for DR costs. Finally, a dynamic incentive pricing-based real-time dispatch method is proposed for new energy vehicles (NEVs), considering the price-responsive characteristics of NEVs in demand-side resources. Case studies demonstrate that the proposed model enables real-time deviation correction, optimizes decision-making through two-stage market mechanisms, and enhances the economic and operational robustness of EHES through coordinated production-storage-consumption optimization. The results validate improved dispatch potential and cost efficiency in the case of source-load uncertainties.

Keywords: Electricity-hydrogen integrated energy stations; Energy and reserve services markets; Two-stage stochastic optimization; New energy vehicles; Demand response (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:334:y:2025:i:c:s0360544225033390

DOI: 10.1016/j.energy.2025.137697

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