The role of demand response in optimizing load distribution and reducing system economic costs is gradually being emphasized. In order to meet users’comprehensive energy demand such as cooling, heating and power, many industrial parks need to purchase a large amount of electricity from the main network at peak time which not only increases the park itself operating costs also increases the scheduling pressure during the peak hours of the main network. In response to the problems, under the scenario of a industrial park micro-energy network system, with the goal of the lowest total operating cost of the system, a comprehensive energy coordinated dispatch strategy for the industrial park will be formed, considering the joint response under the coupling of heat and elec tricity. This model selects a typical daily electricity consumption scenario in a smart park to optimize, and adjusts the user’s load curve for different forms of energy through the combined response of heat and power to achieve optimal energy allocation. The calculation example shows that the proposed method can reduce the main network power purchase during peak hours and increase the local generating units in the park meeting the needs of users for cooling, heating and electricity, which has good economic benefits.