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Time‐Decoupling Layered Optimization for Energy and Transportation Systems under Dynamic Hydrogen Pricing


The growing popularity of renewable energy and hydrogen‐powered vehicles (HVs) will facilitate the coordinated optimization of energy and transportation systems for economic and en‐ vironmental benefits. However, little research attention has been paid to dynamic hydrogen pricing and its impact on the optimal performance of energy and transportation systems. To reduce the dependency on centralized controllers and protect information privacy, a time‐decoupling layered optimization strategy is put forward to realize the low‐carbon and economic operation of energy and transportation systems under dynamic hydrogen pricing. First, a dynamic hydrogen pricing mechanism was formulated on the basis of the share of renewable power in the energy supply and introduced into the optimization of distributed energy stations (DESs), which will promote hydro‐ gen production using renewable power and minimize the DES construction and operation cost. On the basis of the dynamic hydrogen price optimized by DESs and the traffic conditions on roads, the raised user‐centric routing optimization method can select a minimum cost route for HVs to purchase fuels from a DES with low‐cost and/or low‐carbon hydrogen. Finally, the effectiveness of the proposed optimization strategy was verified by simulations.

Funding source: This work was supported in part by the National Natural Science Foundation of China under Grant 52107199 and the International Corporation Project of the Shanghai Science and Technology Commission under grant 21190780300
Related subjects: Applications & Pathways

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