Active power distribution network multi-time scale interval optimization scheduling method considering electric vehicle

The invention belongs to the field of new energy, and particularly relates to an active power distribution network multi-time scale interval optimization scheduling method considering an electric vehicle. The method comprises the following steps: acquiring historical records and day-ahead prediction data of an electric vehicle, establishing a day-ahead interval optimization scheduling model, solving the model to obtain a day-ahead scheduling plan, generating an intra-day scheduling plan according to the day-ahead scheduling plan model, prediction control and rolling optimization, and performing real-time scheduling in the intra-day real-time scheduling stage. On the basis of the law of conservation of energy, a controllable source and a large power grid are coordinated, optimized and matched to meet power balance, charging priority ranking is carried out on electric vehicles participating in scheduling, and the prediction deviation of distributed power generation in the day-ahead stage is effectively overcome