Xiong Wu, Yu Zhang
Converting offshore wind energy into hydrogen is a promising approach to improving renewable energy utilization. Coordinated offshore and onshore operation can further enhance hydrogen supply flexibility. Despite this potential, most existing studies model offshore hydrogen production and onshore demand delivery separately. This paper therefore proposes a coordinated supply scheduling model of offshore and onshore hydrogen considering both power and hydrogen transportation networks. The model coordinates power system operation with maritime and onshore hydrogen transportation scheduling under network constraints, capturing the spatiotemporal interactions among offshore production, port buffering, onshore production, truck routing, storage operation, and hydrogen refueling demand satisfaction. A time-window mapping method is developed to couple continuous time transportation events with discrete time power and hydrogen scheduling constraints. To handle renewable generation uncertainty, the proposed model is extended into a two-stage stochastic formulation. An accelerated progressive hedging algorithm (PHA) with adaptive penalty updating and stable binary variable fixing is developed to improve the efficiency of solving problems with multiple scenarios. Case studies on modified IEEE 24-bus and IEEE 118-bus systems validate the effectiveness of the proposed model and algorithm. The proposed accelerated PHA substantially reduces solution time while maintaining negligible deviations in the objective value.
@article{dfa34b70-51a3-4b00-b695-2841f7a8de6c,
title={Coordinated supply scheduling of offshore and onshore hydrogen 2027 Applied },
author={Xiong Wu and Yu Zhang},
year={2026},
language={en}
}TY - JOUR TI - Coordinated supply scheduling of offshore and onshore hydrogen 2027 Applied AU - Xiong Wu AU - Yu Zhang PY - 2026 LA - en ER -
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