Research on Modeling Method of Demand Response Characteristics of Residential EV Based on Load Identification in Smart Grid

The development of smart grid technology has put forward higher requirements for the modeling work of load response, and model of the residents' charging demand response should be further study especially after the large-scale electric vehicles connected to power grid. Based on non-intrusive residential load monitoring technology and the characteristic analyzing of actual electric vehicles charging power, a charging load identification method decomposed from the daily load curve is presented, and the identify results are taken as the basis data for modeling of demand response. Because of the characteristic that charging power load is associated with the ambient temperature and daily type, the similar day short-term load forecasting algorithm is introduced into the calculation progress of the load transfer rate to enhance the calculation accuracy in this paper. In addition, the optimization algorithm is used to identify the parameters, and a more accurate charging load response model of electric vehicles under the TOU price is established. Finally, the simulation results verify the validity and superiority of the method.