Optimization Strategy for Economic Dispatch of Multi-Energy Park with Air-Conditioning Load Participating in Demand Response

With the widespread integration of new energy sources into the power grid, their inherent characteristics of uncertainty and randomness have gradually weakened the regulation capabilities on the generation side, thereby posing challenges to the reliability and stability of the power system. To effectively address the issue of new energy accommodation, this study focuses on air-conditioning loads. Given their dispatch flexibility, rapid response capabilities, and significant regulation potential, even if load adjustments or parameter changes are made in a short period of time, the impact on users is relatively limited. Based on this, this study proposes a multi-energy park economic dispatch model that comprehensively considers the demand response potential of aggregated air-conditioning loads. Firstly, a framework for the coordinated optimization of various equipment within the multi-energy park is constructed. Subsequently, aiming to minimize the total operational cost of the park, a day-ahead economic dispatch model based on mixed-integer linear programming is established. The model is solved using the Gurobi solver to optimize the operation strategies of cooling loads, energy storage devices, diesel generators, and grid power purchase plans. Finally, through case simulations, the model is verified to enhance the capacity for new energy accommodation while effectively reducing the total operational cost of the park. Additionally, the potential of multi-energy parks in improving the phenomena of "wind curtailment" and "solar curtailment" is explored.