Optimal dispatch of park integrated energy systems considering the uncertainty of both source and load sides

In the context of multi energy coupling and deepening penetration of high proportion of new energy, the integrated energy system of the park has the characteristics of multi energy complementarity and energy cascade utilization, becoming an important solution for low-carbon transformation of the energy industry. Load aggregators can fully mobilize the flexibility of the load side through resource aggregation. Considering the uncertainty of new energy output, load and participation in demand response of user, this paper proposes a multi-objective optimization method for park integrated energy systems that takes into account the uncertainty of both source and load sides. Firstly, establish a multi-objective optimization model for the energy supply and demand sides of park integrated system; Secondly, considering the uncertainty of both sources and loads, uncertainty modeling is carried out based on fuzzy chance constrained programming. The clear equivalence method of fuzzy expressions is used to transform it into a deterministic model and solved by gurobi; Finally, through case simulation and analysis, the proposed method was verified by scenario to fully utilize the elastic space between energy supply and demand in the system, reduce carbon emissions, and balance the conservatism and economy of scheduling plans.