Abstract: Building a multi-objective optimal scheduling model and solving it efficiently is conducive to the development and utilization of renewable energy,and makes much sense to explore the potential of cost reduction and efficiency increase for a integrated energy system. Based on the integrated energy system with photovoltaic power generation,this paper establishes the multi-objective operation model of minimizing the reciprocal of system exergy efficiency and minimizing the economic index,combined with the integrated demand response model of electricity heat and cooling and the operation constraints. The non-convex nonlinear terms in the model are dealt with,and the problem is transformed from multi-objective mixed integer linear-fractional programming to multi-objective mixed integer linear programming. Furthermore,in order to obtain Pareto front efficiently,the ε-constraint approach is used to transform it into a series of single objective mixed integer linear programming problems,and TOPSIS method is used for decision-making. The simulation results show that the multi-objective optimization scheduling model can not only improve the system operation flexibility and reduce the operation cost,but also achieve the trade-off between the system operation cost and the exergy efficiency compared with the single objective operation.