The coordinated optimization of the comprehensive energy system of electricity and heat can effectively improve the energy structure during winter heating period in northern China and improve the environmental pollution. This paper presents an economic dispatch model for an electric-thermal integrated energy system which couples the solar collector system with wind turbines

solid-state heat storage boilers

biomass boilers

groundsource heat pumps and accumulators

and presents a day-ahead optimal dispatch strategy which takes into account the uncertainty of new energy

demand-side response and storage. A pre-day interval optimal dispatch model is established

which takes the operating cost of the whole system as the target. Pyomo-GLPK software is used to model and solve the problem. Through an example

the operation of the model in different scenarios is analyzed

the influence of the solar collector system coupled with other devices on the system is compared

and the solution results of GLPK and CPLEX are compared. The simulation results show that

the scheduling method proposed in this paper can effectively reduce the operating cost of the whole system and improve the flexibility of the system and the ability to consume new energy.