Abnormal electricity utilization detection method for power distribution network containing distributed power supply

The invention provides an abnormal power utilization detection method for a power distribution network containing a distributed power supply. The abnormal power utilization detection method comprises the following steps: data acquisition and data preprocessing; constructing an input feature set and converting the input feature set into a pixel picture; establishing an abnormal power consumption feature extraction and detection model which is formed by combining a convolutional neural network, a gating circulation unit and a support vector machine; and training the detection model by adopting the training set data. Compared with a traditional method that only historical load data and temperature meteorological data are considered in an input feature set, the input feature set can comprehensively reflect influence factors containing the net load of the distributed power supply, the change mode of the net load can be better analyzed, and then the abnormal power utilization detection precision can be improved. Ac