Power distribution network fault identification method and system based on spectrum entropy and random forest

The invention provides a power distribution network fault identification method and system based on spectrum entropy and random forest, and the method comprises the steps: taking the electrical quantity information, fault recording information and system network structure after a fault as the features of a sample, and taking the fault type as the label of each sample; generating an energy feature vector of each sample after the fault recording information is subjected to the spectrum entropy effect, and generating a plurality of decision trees by using a random forest algorithm after the energy feature vector is also used as a sample feature; different sample features are selected for each decision tree for training, and a strong classifier is generated based on a voting system; and taking the strong classifier as a trained fault identification network and carrying out fault identification on the to-be-identified power distribution network. According to the method, the fault recording information is processed