Demand Response of Load Aggregator Based on Game Theory and Potential Prediction

Demand response is an effective means of shaving peaks and filling valleys. This paper focuses on analyzing the demand response of small and medium-sized users in the case of participating in the electricity market through load aggregators. Firstly, a demand response model is established for load aggregators with small and medium-sized users to participate in the electricity market. Secondly, based on the degree of control that the load aggregator has on user resources, the equipment is divided into partially controlled and fully controlled equipment, and the demand response potential (DRP) forecasting methods are given respectively. Then, an incomplete information static game model of the bidding decision in the upper wholesale market and an optimal bidding model in the lower retail market are constructed. Finally, actual data from a large residential area is employed to illustrate the model and calculate the bidding results.