Distributionally Robust Scheduling of Multi-energy Park Considering Thermal Inertia of Differentiated Buildings

On the premise that the room temperature meets the requirements, the differentiated thermal inertia of the building can adjust the thermal energy demand of the room by classification, which helps the multi-energy park to further explore the economy and flexibility. The multi-energy park jointly manages and controls various energy sources and loads, which facilitates the coordination of the thermal inertia of the buildings in the park to fully participate in the operation. Based on this, this paper proposes a distributionally robust optimization model for multi-energy park operation considering the thermal inertia of different buildings. According to the characteristics of different buildings, models of office buildings, industrial plants and warehouses are established respectively. The room temperature is flexibly set based on different building characteristics to coordinate the economy and comfort of the thermal inertia of the building. The numerical results show that the model further improves the system economy of the multi-energy park under the premise of realizing the refined management of buildings.