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An optimal operation method for hydrogen refueling stations considering the electric energy-reserve-hydrogen coupling market environment

Year: 2025

Type: article

Abstract: To enhance the operational revenue of on-site hydrogen production hydrogen refueling stations （HFS）， a bi-level stochastic optimization model is proposed， considering the electric energy-reserve-hydrogen coupling market environment. The upper-level model represents the bidding strategy of the HFS in the day-ahead electric energy， reserve， and hydrogen coupling markets， as well as the balancing market. The lower-level model comprises a two-stage clearing process： the first stage involves joint clearing of the energy， hydrogen， and reserve markets based on known bidding information of market participants； the second stage handles balancing market clearing under various load deviation scenarios. Additionally， a mixed-integer linear programming equilibrium-solving algorithm is designed based on duality theory and the Karush-Kuhn-Tucker （KKT） conditions. Simulation results demonstrate that participation in reserve and balancing markets significantly increases the revenue of the HFS.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

DOI: 10.19585/j.zjdl.202504004

Authors: ZHOU Xin, CHEN Shun, TAN Hong, CHEN Daicai, RAN Menghong

Institutions: State Grid Corporation of China (China), China Three Gorges University

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: green

OpenAlex ID: W6925933738

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