Unidirectional grounding fault feeder line identification method under sample imbalance

The invention provides a single-phase earth fault feeder line identification method under sample imbalance, aiming at the problems of lack and imbalance of single-phase earth fault data of a power distribution network, sufficient and balanced training data information can be provided for a data driving model, so that more accurate single-phase earth fault feeder line identification work is carried out. By utilizing the semi-supervised learning characteristic of the conditional generative adversarial network, through the game adversarial training of a generator and a discriminator, the generator generates a single-phase earth fault sample of which the data distribution characteristic is consistent with the real data distribution characteristic, thereby realizing the balance of fault feeder waveform data and sound feeder waveform data, increasing the basic number of training set samples, and improving the training efficiency. And the identification accuracy of the data-driven fault feeder line identification me