Automatic Selecting Strategy in Demand Response Considering User Desire and Load Characteristics

As one of the key components of demand side management (DSM), demand response (DR) plays an important role in reducing the value of peak-valley load and guiding users to use electricity scientifically. Users, as the object of demand side management, often make different choices when facing the same price signal because of the differences of subjective factors such as consumption habits and price sensitivity. Therefore, the choice of users participating in demand response will directly affect the results of demand response. In view of the above problems, this paper first considers the satisfaction degree of users' electricity consumption and electricity consumption, and establishes a customer satisfaction model. Then, aiming at the diversification of the characteristics of the user load, a capacity model is constructed under different levels of user response, and an integer programming model for user automatic selection in demand response is proposed. The model can be solved by branch and bound method. Finally, the simulation results show the effectiveness and feasibility of the model.

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