A coordinated operation method for networked hydrogen-power-transportation system

• Published in: Energy (Oxford) Vol. 296; p. 131026
• Main Authors: Xia, Weiyi, Ren, Zhouyang, Qin, Huiling, Dong, ZhaoYang
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2024
• Subjects: energy; hydrogen; Hydrogen fuel cell vehicle; hydrogen fuel cells; hydrogen production; Hydrogen system; synergism; The user equilibrium; traffic; Transportation network; Hydrogen system; The user equilibrium; Hydrogen fuel cell vehicle; Transportation network
• ISSN: 0360-5442
• DOI: 10.1016/j.energy.2024.131026

Hydrogen fuel cell vehicles have been promoted as a complement to electric vehicles (EVs) to facilitate the decarbonization of transportation networks (TNs). The coordinated operation of a networked hydrogen-power-transportation system with distributed hydrogen supplies is proposed in this research. To maximize the synergistic effect, TN's couplings in hydrogen transport delays and refueling/charging demand are further integrated into the conventional hydrogen-power system. The objective is to maximize the total profits, subject to both the coupling and network constraints. To present the storage effect of hydrogen tube trailers with delays, an extended discrete user equilibrium (UE) is developed and the traditional UE is adopted to formulate refueling-charging demand couplings. Considering the hydrogen supply process, it especially involves the constraints of hydrogen production, storage, utilization, and dispensation. A data-driven robust chance-constrained programming is provided to account for multiple uncertainties from energy/traffic demand and renewable power. Simulation results of the 48-node system show that the proposed model improves the total profits. •The coordinated operation of a networked hydrogen-power-transportation system is proposed.•The traffic flow couplings with hydrogen transport delays and refueling/charging demand are integrated to maximize the synergistic effect.•An extended discrete user equilibrium is developed to present the storage and delay effect of hydrogen trasport.•A data-driven robust chance-constrained programming is used to deal wth the uncertainties in demand and generation.