Power failure range analysis method based on user clustering cluster

The invention relates to the technical field of power monitoring, and discloses a power failure range analysis method based on a user cluster. According to the method, the users in the transformer area are divided into a plurality of clusters through a clustering algorithm, the Spearman rank correlation coefficient among all the users in the same cluster is calculated according to the electric meter voltage data of the users in the transformer area in the same preset time period, and the corresponding user with the maximum correlation is selected as the feature user according to the Spearman rank correlation coefficient, so that the users in the transformer area are classified into the plurality of clusters. The intelligent electric meter used for sending an alarm signal when a power failure fault occurs is installed, and then the power failure state of a distribution transformer and a user is analyzed according to the alarm signal of the intelligent electric meter, so that the power failure range is determin