In order to take the advantages of multi energy and high efficiency cooperation of integrated energy system

an optimal scheduling model for industrial park integrated energy system was proposed. Firstly

the mechanism model of the industrial park integrated energy system is established. Secondly

a multi-objective optimization evaluation system for the industrial park integrated energy system is constructed

which includes economy

environmental protection

and renewable energy proportion. On this basis

a mixed-integer linear programming model for multi-objective optimization dispatching is established. Finally

the non-dominated sorting genetic algorithm-Ⅲ(NSGA-Ⅲ) with better astringency is adopted to solve the model

and the Pareto front of the optimal operation strategy of each energy equipment is obtained. Moreover

the proposed real-time optimal scheduling model is adopted to the actual operation data of an industrial park

and the results show that

on the premise of improving economic and environmental benefits

the multi-energy complementary optimization can meet the energy demand for production

and the real-time robustness of the proposed model is well.