Model of smart grid typical customer

摘要

the demand response(DR) is becoming the focus of the smart grid construction, as an important measure of DR, Time-of-use(TOU) power price are used more extensively. It is necessary to play to the role of TOU to guide the power consumption according to the demand response, improve the efficiency of electric power resource allocation and the social benefit of power. In this paper, the problem about dividing the time period in the design of TOU is considered, based on traditional fuzzy membership function peak-valley time-period partitioning considering the typical power user demand response, clustering algorithm is adopted to establish the model. Example analysis shows that the proposed model established by the decision-making time division method, can fuse the executed demand response, scientific of time-period of TOU is also be improved.