Optimal Scheduling Strategy of Load Aggregator Considering User Demand Response Potential

To realize the orderly participation of massive residential flexible loads in demand response, a load aggregator optimized dispatching model considering demand response potential is established. Firstly, electric vehicles and air conditioners are studied and clustered according to the user’s energy use claims. Secondly, fuzzy set-pair analysis is used to calculate the demand response potential of flexible loads and to classify the scheduling priority, and to prioritize the loads with high scheduling levels by setting different compensation prices. Finally, a direct control model with an agreement between aggregators and users is used to establish an optimal scheduling model that maximizes the revenue of load aggregators. The results show that the proposed model can alleviate the pressure on the supply-demand balance of the grid and effectively improve customer satisfaction with electricity and the revenue of load aggregators.