Interval Optimization Dispatch for Hydrogen Refueling Station With Renewable Energy Considering Wind/PV Uncertainty and Dynamic Hydrogen Pricing

With the growing number of hydrogen fuel cell vehicles, the demand for hydrogen energy becomes increasingly vast. Consequently, reducing carbon emissions during hydrogen production while ensuring its stable supply poses a significant challenge for the current development of hydrogen energy. This paper proposes a strategy for hydrogen refueling stations that relies on renewable energy such as wind and solar energy to product hydrogen, and adopts an interval optimization with polygonal uncertainty set. On this basis, a dynamic hydrogen pricing strategy considering the dynamically changing characteristics of the renewable energy and hydrogen storage is developed. Moreover the hydrogen load demand response model is developed, which can achieves the effective interaction between sources and loads and the balance between the supply and demand of hydrogen. It also can effectively enhance the renewable energy consumption rate. Finally, the effectiveness of the proposed method is verified through case studies, and the benefit results under different scenarios are analysed. The results show that the proposed model significantly improves the consumption rate of renewable energy and the benefits of hydrogen refueling stations after considering the uncertainty of renewable energy and the dynamic hydrogen pricing strategy. The effectiveness of the proposed method is also proved in terms of the low-carbon and economic operation of hydrogen refueling stations with renewable energy.