Peak And Valley Periods Division Based On Customer's Response

As one of important demand side management method, peak-valley TOU price was widely applied. With the socio-economic fluctuations and industrial restructuring, the time-varying of electricity power supply and demand situation is being strengthened, the dynamic characteristics of the power users in response to the electricity price is being increased. By 2003,Time-Of-Use(TOU) price in user side has been carried out in various provinces in China. As an important means of Demand Side Management(DSM),TOU price is necessary to set up an dynamic adjustment of executed TOU price on the basis of demand response,in order to ensure the guidance of TOU price to electricity use, and then fulfilling the optimization of resource distribution.According to peak and valley periods division and on the basis of traditional fuzzy membership function to peak and valley periods division, customer's response is considered to estimate TOU price and build a model of peak and valley periods division by introduced clustering algorithm. Firstly in this paper, responsiveness is put forward based on analysis of active power's curve structure pre-and post demand response of TOU price.Responsiveness means response extent of customers. Then, the model of peak and valley periods division is builded through a comprehensive consideration of responsiveness and membership degree formed by traditional method of period division. This method which has been proposed in this paper can promote scientific nature of peak and valley periods division by fused demand response of customers to executed TOU price. It is annotated through an example at last.