In view of the impact of the uncertainty of PV output and load on the day-ahead economic dispatch and real-time operation of the system, an improvement two-stage robust optimization method is proposed, which is optimal under the ideal scenario and feasible in any scenario and solving the conservative problem of classical two-stage robust optimization. An improvement two-stage robust optimization economic dispatching model for regional integrated energy systems considering renewable energy and load fluctuations is established, the column constraint generation algorithm is used to decompose the objective function into main problems and sub-problems. The first stage of the model (the main problem) takes the day-ahead economic dispatching cost as the objective function, and formulates a day-ahead dispatching plan including the system equipment output and the natural gas supply plan. On this basis, the second stage (sub-problem) takes the adjustment cost in real-time operation as the objective function, and adjusts the equipment output to cope with the uncertain fluctuations in the system. Finally, the simulation of a integrated energy system in a certain area in winter is carried out to verify the validity of the model.