Multi-time sequence charging automobile virtual power plant scheduling operation method and device

The invention provides a multi-time sequence charging automobile virtual power plant scheduling operation method and equipment. The method comprises the following steps: based on a historical response condition, predicting a charge vehicle load and responsible proportion day ahead, and updating the predicted charge vehicle load and responsible proportion within the day to obtain a prediction result; establishing a charging station response capability evaluation model according to the prediction result by using a day-ahead aggregation algorithm, and performing virtual power plant day-ahead aggregation capability analysis to obtain a day-ahead aggregation analysis result; obtaining a clearing result after the virtual power plant declarates the clearing according to the day-ahead aggregation analysis result, and sequentially performing day-ahead and intra-day instruction decomposition based on the clearing result; and correcting the day-ahead and/or intra-day response deviation by using a rolling correction algo