Power distribution operation risk assessment method and system based on key element data of power distribution network

The invention relates to the technical field of power supply, in particular to a power distribution operation risk assessment method and system based on key element data of a power distribution network, and the method comprises the steps: collecting information data needed by power distribution operation risk assessment; identifying abnormal data points of the information data by adopting an isolated forest machine learning algorithm based on an isolated division mechanism, and screening out the information data without the abnormal data points; adding a synthetic sample by adopting an oversampling algorithm based on a random minority class, and carrying out equalization processing on the information data; classifying the data after equalization processing so as to determine transformer area samples of different class clusters; performing gateway connection analysis on the transformer area risk influence factors, and determining key risk influence factors; an information entropy technology is used to construc