Optimized scheduling of multiple integrated energy systems considering hydrogen energy transportation

Inland river corridors often exhibit abundant wind-solar resources, yet their utilization remains constrained by renewable uncertainty and fragmented hydrogen supply chain (HSC) planning across spatially distributed integrated energy system groups (IESGs). This study proposes a corridor-scale scheduling framework that explicitly couples the HSC, inland waterway traffic flow (IWTF), and IESGs by modeling hydrogen-fueled ships (HFS) as mobile hydrogen storage and transfer carriers. To capture realistic logistics-operation coupling, a wind-wave-aware ship energy consumption model (SECM) is developed to quantify route- and environment-dependent navigation energy demand, thereby linking route planning and hydrogen deliverability to system-level scheduling decisions. Building on this foundation, a renewable power-to-hydrogen (ReP2H)-driven inter-IESG interaction model and an emission-constrained IWTF model are formulated to co-optimize hydrogen production, transport, and sharing across multiple IESGs. Wind conditions along shipping routes are characterized via a Markov chain Monte Carlo (MCMC)-based probabilistic prediction module, and the resulting large-scale problem is solved using an alternating direction method of multipliers (ADMM)-based distributed algorithm that enhances scalability while preserving data privacy. Case studies under representative summer and winter conditions demonstrate improved renewable energy source (RES) utilization and operational performance. Moreover, an added economic assessment shows that the interconnected hydrogen-sharing mode reduces the aggregate cost of three IESGs by 3.95% compared with standalone operation on a typical winter day, primarily by reducing net electricity purchases and mitigating renewable curtailment losses. These results indicate that HFS-enabled hydrogen sharing can serve as a practical coordination mechanism for cleaner production and low-carbon, cross-regional renewable collaboration along inland river basins. • HSC-IWTF-IESGs scheduling enables corridor-scale hydrogen sharing in river basins. • HFS provides mobile storage to support cross-regional hydrogen transfer. • Wind-wave-aware SECM quantifies route dependent resistance and hydrogen use reliably. • ADMM enables scalable hydrogen sharing across IESGs with data privacy. • Interconnected hydrogen sharing reduces total IESGs cost by 3.95% on a winter day.