Both system’s net income and energy curtailment rate of renewable energy are the problems that the integrated energy systems mainly focus on. This paper firstly designs a coordinated optimized operation structure of integrated energy systems. Secondly, a multi-objective optimization model for the system’s coordinated operation is built with the aims of maximizing system revenue and minimizing energy curtailment, as well as the unit modelling and constraints, and the multi-objective particle swarm optimization algorithm is applied to solve the proposed model with integration of the fuzzy comprehensive evaluation method. Finally, four energy conversion scenarios are set for example analysis. Combined with the comparison of the results of the four scenarios, it can be concluded that the introduction of diversified energy conversion equipment brings a certain increase in depreciation cost and operation cost, but improves the net income of the system and the energy efficiency of users. The complementary and conversion of multi-energy has obvious improvement for the utilization rate of clean energy, which effectively proves the multi energy synergy Optimize the advanced nature of the system.
