Abstract:Addressing the challenges of renewable energy integration and fluctuations in heating, cooling, and electricity loads within the park integrated energy system, Introducing power-to-gas technology while integrating manageable electricity loads, flexible heating loads, and flexible cooling loads, Establishing an optimized scheduling method for the park integrated energy system that considers comprehensive demand response and power-to-gas technology, And transforming the model construction into a mixed-integer linear programming (MILP) model. By using MATLAB combined with YALMIP to call the CPLEX solver for solving the problem to quickly address the impact of massive data and constraint conditions on solving complexity. And analyze through comparative examples. Consider the impact of integrated demand response on peak shaving, renewable energy integration, and the overall economic viability of park integrated energy system. Validate the effectiveness and rationality of the model proposed in this article.