Because of the energy crisis and environment deterioration, there is a general consensus about the development of new energy vehicle especially electric vehicle in the world. The development of electric vehicles has brought new challenges to the distribution network. The charging strategy, the location planning of electric vehicle charging stations and sizing, the coordination planning between electric vehicle and the distribution grid depends on the future development scale electric vehicles and charging load forecasting. Because there is a certain distance from commercial operation in china, the prediction theory and method of the electric vehicle development scale and charging load are not mature. By using the method of artificial neural network to establish the development scale and charging load forecasting model of electric vehicle. The model is proved its correctness through an example of the electric vehicle scale and charging load forecasting of Kunming, a big city in West China. The paper provides a new way for future development scale and charging load forecasting to electric vehicle of China.
Community electric vehicle load forecasting based on time series distribution
