Bi-level optimization scheduling method for air conditioning system based on demand response

A bi-level optimization scheduling method for an air conditioning system based on demand response, comprising following steps:

• step 1, constructing a lumped heat capacity model to describe a heat storage capacity of a building, thereby obtaining a building heat storage model;
• step 2, based on the building heat storage model, obtaining a function relational expression of describing an indoor dry bulb temperature of the building and a cooling and heating load of the building;
• step 3, based on the function relational expression, constructing a power consumption calculation model under a working condition of demand response;
• step 4, based on the power consumption calculation model, constructing optimization objective functions;
• and
• step 5, substituting the optimization objective functions into a bi-level optimization process, and optimizing the bi-level optimization process to obtain an optimal scheduling strategy for the air conditioning system participating in demand response;
• and
• further comprising:
• scheduling the air conditioning system for the building under a demand response condition based on the optimal scheduling strategy.