Under the background of the dual carbon goals

constructing low-carbon park integrated energy systems is a critical approach for China to achieve energy conservation and carbon reduction. Biomass-based hydrogen production can improve energy utilization efficiency and reduce carbon emissions. Therefore

this paper proposes a distributionally robust optimization configuration method for park-integrated energy systems incorporating biomass-assisted hydrogen production. Firstly

a refined biomass-assisted hydrogen production model is established

considering the impact of temperature on the hydrogen production process. Secondly

a fuzzy set of uncertain distributed energy output probability distributions is constructed based on the Wasserstein distance. An optimization configuration model is then developed for the integrated energy system to minimize park investment and total costs. The model incorporates biomass-assisted hydrogen production and uses distributionally robust chance-constrained programming. Finally

the column-and-constraint generation algorithm is employed to solve the transformed model iteratively. Simulation verification is conducted using the modified IEEE-33 node power grid and a 23-node heating network. The results show that the proposed allocation method can significantly reduce the cost of carbon management and the total planning cost. It combines good economy and robustness

demonstrating high optimization effects and practical application value.