Planning method of a low-carbon integrated energy system with biomass-aided hydrogen production

With the increasing demand for low-carbon energy transition, biomass energy has attracted significant attention as a renewable and carbon-neutral resource. Biomass-aided hydrogen production (BAHP) plays a crucial role in promoting the green development of energy structures. However, there is limited research focusing on developing comprehensive models for integrating BAHP into systems, especially in the context of optimizing energy production and distribution under uncertainty. To address this gap, this paper proposes a planning method for a low-carbon integrated energy system (IES) incorporating BAHP. First, based on the process characteristics of BAHP, the relationship between hydrogen production efficiency and temperature is established, and a BAHP model is proposed. Second, to tackle the uncertainties in distributed energy resources (DER), a distributionally robust chance-constrained (DRCC) planning model based on Wasserstein distance is constructed. Finally, the model is transformed into a mixed-integer linear programming model through piecewise linearization and conditional value-at-risk (CVaR) theory. The transformed model is solved using the column-and-constraint generation algorithm. Simulation verification is performed on an IES composed of an improved IEEE 33-node power grid and a 23-node thermal network. The results demonstrate that the proposed model reduces the annual carbon management cost by 6.6 % and the total annual operating cost by 4.4 %, thereby confirming its effectiveness and applicability.