The global warming and environmental concerns caused by load growth and the use of fossil fuels have increased attention to alternative sources, such as renewable energies and clean fuels. This study presents a bi-level model for optimizing the day-ahead planning of a green electricity-hydrogen system comprising wind and solar units, integrated with a hydrogen fueling station. The upper level maximizes the system profit by managing available sources and energy exchange with the energy market and consumers. In contrast, the lower level minimizes the consumers' cost through the participation of responsive loads and a price-based strategy. The under-study system is also equipped with electrical storage systems and fuel cells to support operator decisions during fluctuations. Since uncertainties can significantly influence system operation, a scenario-based approach incorporating risk constraints is applied to handle the uncertain parameters, including wind speed, solar radiation, market prices, load demand, and the behavior of hydrogen vehicles. It is essential to note that the Karush-Kuhn-Tucker conditions are utilized to transform the bi-level model into a single-level model and solve the problem. The results confirm the cautious decisions of the risk-averse strategy compared to the risk-neutral strategy and the load control strategy's positive influence on the system operation.
