Abstract:Aiming at the problem of fuzzy load model of plug-in electric vehicle charging pile load increasing gradually in power grid, a data fuzzification process based on linear re projection algorithm is designed. Multi column deep convolution fuzzy neural network is used to analyze the data, and the inverse function of linear re projection algorithm is used to solve the data fuzzification. Finally, the input data in 24 h time sequence is used to push forward 24 h for high precision Degree prediction and estimation. The results show that the model effectively improves the management efficiency of electric vehicle charging grid, and is suitable for load management of plug-in vehicle charging pile.