Communication-Efficient Distributed Pricing for Power-Hydrogen Systems With Electric Vehicles and Renewable Energy Integration

Integrated power-hydrogen systems can efficiently harness renewable energy sources to replace traditional fossil fuels and promote the development of sustainable transport. However, the complex interplay among power, hydrogen, and transportation introduces challenges in effectively integrating the grid and the transportation system. To address this, an integrated power-hydrogen management and transaction scheme is proposed for battery electric vehicle charging and fuel cell electric vehicle hydrogen refueling. Then, a data-driven distributionally robust chance-constrained model is developed to jointly optimize power-hydrogen management and transaction strategies, as well as traffic flow assignment. It can mitigate the supply shortfall risk related to volatile renewable generation by utilizing limited observed samples. The centralized optimization problem is decomposed into subproblems for the integrated power-hydrogen system and the transportation system and solved iteratively through a communication-efficient distributed pricing method. This method incorporates a communication censoring strategy and an adaptive penalty parameter technique to reduce communication costs and enhance convergence. Case studies demonstrate that the proposed scheme effectively reduces the total system cost. Furthermore, the proposed method efficiently coordinates the power-hydrogen supply and demand with lower communication costs.