With the increasing integration of traditional electric vehicles (EVs)

the ensuing congestion and overloading issues have threatened the reliability of power grid operations. Hydrogen has been advocated as a promising energy carrier to achieve low-carbon transportation and energy (trans-energy) systems

which can support the popularization of fuel-cell hybrid EVs (FCHEVs) while enhancing the flexibility of power grids. In this paper

we propose an optimal scheduling framework for trans-energy systems that evaluates the merits of the hydrogen supply chain from water electrolysis

compressed storage and transportation to FCHEV utilization. A detailed FCHEV model is established

and mileage is modeled as a function of the stored electricity and hydrogen mass. A stochastic programming-based scheduling model is formulated

which minimizes the total cost of unit commitment and the hydrogen supply chain. The Dijkstra algorithm is adopted to search the shortest path for hydrogen transportation. Case studies demonstrate that FCHEVs can reduce the operational costs of tran-energy systems and facilitate the accommodation of renewable energy when compared to traditional EVs.