Coordinated energy supply from multiple complementary sources is an effective way to realize the“dual-carbon”goal in China.In order to increase the competitiveness of its application, an improved artificial hummingbird algorithm that introduces a probabilistic dynamic switching strategy for foraging mode selection is used to optimize the capacity allocation of a coupled wind-scenery-hydrogen-storage system that takes into account the interaction of purchasing electricity and selling hydrogen energy with a dual-objective optimization. The lowest total operating cost and the lowest carbon emission in the whole life cycle are selected as the optimization objectives, and the Pareto solution set obtained from the optimization is screened by entropy weight-improved topsis analysis to select the optimal solution. Case simulation is used to verify the excellent performance of the proposed electricity purchase and hydrogen sale energy interaction model in coupled system capacity allocation optimization. From the perspective of advancing the“dual-carbon”goals, the electricity-purchasing and hydrogenselling energy interaction model demonstrates superior applicability in optimizing capacity configuration for multi-source coupled systems.