The growing severity of environmental issues and the "dual carbon" goals have accelerated the development of carbon trading markets and the construction of multi-energy complementary integrated energy systems in townships.However

uncertainties on both the supply and demand sides pose significant challenges to the reliable operation of these systems

including the instability of renewable energy generation and fluctuations in load demand

which affect operational efficiency and stability.To address these challenges

this paper introduces a robust optimization approach that seeks the optimal solution under worst-case scenarios based on predicted values

ensuring the safe and reliable operation of the system.This study considers the impact of wind and solar load uncertainties on dispatch strategies.In the first phase

the objective function aims to minimize electricity purchasing costs and the operational costs of hydrogen storage systems.In the second phase

the focus shifts to minimizing purchasing gas costs

battery operating costs

and carbon trading costs.A two-stage robust optimization dispatch model for integrated energy systems in townships is established and solved using the column and constraint generation (C&CG) algorithm.Finally

simulation verification is conducted to analyze the optimized dispatch of the integrated energy system under different operational scenarios

confirming that the established system model can operate reliably.