A method based on multi-scenario stochastic programming and model predictive control is proposed for a regional combined cooling heating and power system with renewable resources and multiple distributed resources. A multiple time scale optimal dispatch framework is proposed considering the uncertainty of wind power and photovoltaic and loads. In the day-ahead and intraday optimization

the optimal operation economy is taken as the objective by regulating the operation and power output plans of each unit. While during the real-time scheduling

taking economic dispatch results as references

a model predictive control model is proposed to realize the accuracy control of unit outputs

in which the power output is regulated through feedback and rolling horizon optimization so that the power deviation can be eliminated. Case analysis shows that the proposed model and method can eliminate the influence of uncertainty and fluctuation of wind power and photovoltaic

and promote the complementary and coordination of operation for the integrated energy system.