Research on Multi-objective Optimization Strategy of Using Energy Considering Elastic Constraints of Air Conditioning Loads

As one of the best candidates of flexible loads, Air Conditioning Loads (ACLs) can participate in the load shaving to support the active power balances through their thermodynamic characteristics. Existing optimization methods define the thermodynamic constraints of the ACLs as fixed constraint without considering the elasticity of ACLs users. This paper establishes a multi-objective elastic optimization model of ACLs. By introducing slack variables in the thermodynamic constraints, the original fixed constraints can be transformed into elastic constraints, so that the some comfort variables (including temperature variables and load scheduling times) can exceed the constraint limits in some extreme conditions to meet the objectives. Simulation results show the effectiveness of the proposed method.