There is a complex interest game relationship between the operators and users of the park integrated energy system (PIES), so it is necessary to study how to balance the interests of all stakeholders while improving the economic benefits of the whole system. Therefore, a day-ahead optimal economic dispatching strategy considering the interests of multiple stakeholders is proposed for the park integrated energy system. Considering the use of multi-energy cooperation advantages of the system to participate in demand response market transactions, a two-level hierarchical economic optimal scheduling model is established, in which the upper level is the optimal dispatching model of operators with the goal of maximizing operating profit, and the lower level is the optimal response model of users with the goal of minimizing energy cost. A distributed optimization algorithm based on analytical target cascading is used to decouple the upper and lower models and solve them independently and in parallel. Through the case analysis, the proposed strategy is verified to realize the collaborative optimization of the supply and demand sides through the integrated demand response, and optimize the economic benefits of each stakeholder through distributed solution.