Abstract: Existing energy management technologies tend to focus on the optimal cost without taking into account the impact on the environment,which will cause energy waste and even greatly increase the cost to reduce environmental damage.In order to solve the problem of balancing the cost and environmental benefits of the comprehensive energy system in the park,the output model of the power supply was built according to the structure of the energy system in the industrial park. The composition structure of the load in the park was analyzed and divided according to its characteristics.Two optimization objectives of optimal carbon emission and optimal power generation cost were proposed. Immune particle swarm optimization（IPSO）was used to automatically give weight to the optimization objectives and optimize the solution,so as to realize multi-objective coordinated optimization.Taking the data in an industrial park as an example,the results before and after optimization were compared.It was found that the optimization scheme reduces the comprehensive power generation cost and carbon emission in the park,which verifies the effectiveness of the optimization scheme,and puts forward corresponding suggestions for possible problems.