Coordinated Operation Mechanism of Electric-hydrogen-traffic Coupling System that Considers Carbon Emissions and Uncertainties

During the critical period of energy transition, the collaborative optimization of the electricity-hydrogentransportation coupling system is of vital importance for achieving efficient energy utilization and sustainable development.This paper proposes a collaborative operation mechanism of Distributed Robust Optimization (DRO) considering carbon emissions. Firstly, a Stackelberg game dynamic pricing strategy is constructed for the integrated energy station (IES) and the electricity-hydrogen hybrid charging station (HRS), where the upper-level IES optimizes the electricity price setting strategy and the lower-level HRS dynamically adjusts the electricity purchase-hydrogen production plan. Secondly, the Wasserstein distance is used to describe the uncertainties of hydrogen vehicle loads and wind-solar power generation, and a bisection algorithm-column constraint generation (BA-C&CG) hybrid algorithm is designed to solve the model. Finally, the numerical example verification shows that the daily operation cost of HRS under the proposed mechanism is as low as 1108.53 EUR, which is 10.58 % and 7.38 % lower than that of the commonly used stochastic optimization (SO) and robust optimization (RO), respectively. The variance analysis (F = 536.05,P < 0.001) confirms that the cost advantage is statistically significant. In terms of carbon emission reduction effect, the DRO-Stackelberg game model has the lowest daily carbon cost (6.98EUR). This mechanism effectively balances the economic and robustness of the system, and the single dispatch calculation time is only 112.09 s, meeting the real-time operation requirements of engineering. It provides technical support for the low-carbon collaborative operation of the electricity-hydrogen-transportation coupling system.